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Site Name: USA - Massachusetts - Waltham, Durham Blackwell Street, Philadelphia Walnut Street, Upper Providence Posted Date: Jun 9 2025 Data Strategy, Products, and Management Sr Manager Key Responsibilities Support the launch of a new Oncology product Support internal or external teams to design, build, and manage foundational data products to enable analytics and business processes for the U.S. Commercial organization Collect business requirements for data products, data environments, and ingestion and transformation; clearly communicate those requirements to Data Architecture, Data Engineering, and Data Ingestion teams to execute. Ensure stakeholders understand the data necessary for analytics and operations activities (maintain data catalog, conduct communication/training as needed) Partner with analytics stakeholders to design and execute critical analytics initiatives (ensure data understanding, data availability, and appropriate data design and transformations; establish evaluations and ongoing processes to ensure high degree of data quality; evaluate processes and controls related to compliance and privacy for proposed data uses) Identify new data sources with strong potential for business impact; evaluate new data sources, develop a point-of-view and advocate for obtaining new data with highest potential for business impact Manage large workstreams to ensure timely execution of high quality deliverables; escalate roadblocks and risks early and effectively Optimize current processes, implement data warehouse improvements and pursue innovative projects Why you? Basic Qualifications: We are looking for professionals with these required skills to achieve our goals: 5+ years' experience managing data or data products Experience with compliance requirements for working with data in a regulated industry Experience leading internal or external teams on high-profile data and analytics projects Preferred Qualifications: If you have the following characteristics, it would be a plus: Experience working with pharmaceutical or healthcare data (Rx, Claims, Electronic Health Records, Specialty Pharmacies, CRM) Experience working with marketing activity data Product management experience or certifications Experience working within Software Development Lifecycle processes Experience with Agile methodologies for technical product development and program/project management Cloud certification (Azure, AWS, or GCP) Strong hands-on technical skills (advanced SQL, Databricks, Python) Familiarity with business intelligence and visualization tools (PowerBI, Tableau, etc.) Please visit GSK US Benefits Summary to learn more about the comprehensive benefits program GSK offers US employees. Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a special purpose - to unite science, technology and talent to get ahead of disease together - so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns - as an organisation where people can thrive. We prevent and treat disease with vaccines, specialty and general medicines. We focus on the science of the immune system and the use of new platform and data technologies, investing in four core therapeutic areas (infectious diseases, HIV, respiratory/ immunology and oncology). Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it's also about making GSK a place where people can thrive. We want GSK to be a place where people feel inspired, encouraged and challenged to be the best they can be. A place where they can be themselves - feeling welcome, valued, and included. Where they can keep growing and look after their wellbeing. So, if you share our ambition, join us at this exciting moment in our journey to get Ahead Together. If you require an accommodation or other assistance to apply for a job at GSK, please contact the GSK Service Centre at 1-877-694-7547 (US Toll Free) or +1 801 567 5155 (outside US). GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law. Important notice to Employment businesses/ Agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK's compliance to all federal and state US Transparency requirements. For more information, please visit the Centers for Medicare and Medicaid Services (CMS) website at https://openpaymentsdata.cms.gov/

At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities. Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive through relentless innovation to exceed our customers' expectations while making a real impact for our company through our shared purpose. When you join our company, we want you to feel valued, supported and proud to work here. That's why we offer The GEICO Pledge: Great Company, Great Culture, Great Rewards and Great Careers. Position Summary GEICO is seeking an experienced Senior Software Engineer to join our Data Lakehouse Platform team. As a key member of the engineering staff, you will drive the design, development, and implementation of high-performance, low-maintenance, and zero-downtime platforms and core data infrastructure. You will work closely with the Staff Engineer to innovate and bring the best open-source data infrastructure and practices into GEICO. Position Description As a Senior Software Engineer, you will:• Design, develop, and deploy scalable, resilient Data Lakehouse components Collaborate with the Staff Engineer to lead architecture sessions and reviews with peers and leadership Ensure the quality, usability, and performance of the solutions Evaluate and recommend new software tools and technologies to improve the Data Lakehouse platform Work with customers, team members, and other engineering teams to solve complex problems Mentor junior engineers and contribute to the growth and development of the engineering community Share best practices and improve processes within and across teams Stay up-to-date with the latest open-source projects, technologies, and trends, and participate in internal and external technology communities Key Responsibilities• Design and develop Data Lakehouse components using open-source technologies such as Apache Iceberg, Apache Polaris, and others Collaborate with the Staff Engineer to lead architecture sessions and reviews with peers and leadership Ensure the quality, usability, and performance of the Data Lakehouse solutions Evaluate and recommend new software tools and technologies to improve the Data Lakehouse platform Work with customers, team members, and other engineering teams to solve complex problems Mentor junior engineers and contribute to the growth and development of the engineering community Share best practices and improve processes within and across teams Qualifications• 3+ years of experience in software development, with a focus on data infrastructure and platforms Experience with open-source table formats (Apache Iceberg, Delta, Hudi, or equivalent) Experience with open-source compute engines (Apache Spark, Apache Flink, Trino/Presto, or equivalent) Experience with cloud computing (AWS, Microsoft Azure, Google Cloud, Hybrid Cloud, or equivalent) Expertise in developing distributed systems that are scalable, resilient, and highly available Experience with container technology like Docker and Kubernetes platform development Experience with continuous delivery and infrastructure as code In-depth knowledge of DevOps concepts and cloud architecture Experience in Azure Network (Subscription, Security zoning, etc.) or equivalent Annual Salary $105,000.00 - $230,000.00 The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate's work experience, education and training, the work location as well as market and business considerations. GEICO will consider sponsoring a new qualified applicant for employment authorization for this position. The GEICO Pledge: Great Company: At GEICO, we help our customers through life's twists and turns. Our mission is to protect people when they need it most and we're constantly evolving to stay ahead of their needs. We're an iconic brand that thrives on innovation, exceeding our customers' expectations and enabling our collective success. From day one, you'll take on exciting challenges that help you grow and collaborate with dynamic teams who want to make a positive impact on people's lives. Great Careers: We offer a career where you can learn, grow, and thrive through personalized development programs, created with your career - and your potential - in mind. You'll have access to industry leading training, certification assistance, career mentorship and coaching with supportive leaders at all levels. Great Culture: We foster an inclusive culture of shared success, rooted in integrity, a bias for action and a winning mindset. Grounded by our core values, we have an an established culture of caring, inclusion, and belonging, that values different perspectives. Our teams are led by dynamic, multi-faceted teams led by supportive leaders, driven by performance excellence and unified under a shared purpose. As part of our culture, we also offer employee engagement and recognition programs that reward the positive impact our work makes on the lives of our customers. Great Rewards: We offer compensation and benefits built to enhance your physical well-being, mental and emotional health and financial future. Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family's overall well-being. Financial benefits including market-competitive compensation; a 401K savings plan vested from day one that offers a 6% match; performance and recognition-based incentives; and tuition assistance. Access to additional benefits like mental healthcare as well as fertility and adoption assistance. Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year. The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled. GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job, unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.

Industry/Sector Technology Specialism Data, Analytics & AI Management Level Senior Manager Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. Growing as a strategic advisor, you leverage your influence, expertise, and network to deliver quality results. You motivate and coach others, coming together to solve complex problems. As you increase in autonomy, you apply sound judgment, recognising when to take action and when to escalate. You are expected to solve through complexity, ask thoughtful questions, and clearly communicate how things fit together. Your ability to develop and sustain high performing, diverse, and inclusive teams, and your commitment to excellence, contributes to the success of our Firm. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Craft and convey clear, impactful and engaging messages that tell a holistic story. Apply systems thinking to identify underlying problems and/or opportunities. Validate outcomes with clients, share alternative perspectives, and act on client feedback. Direct the team through complexity, demonstrating composure through ambiguous, challenging and uncertain situations. Deepen and evolve your expertise with a focus on staying relevant. Initiate open and honest coaching conversations at all levels. Make difficult decisions and take action to resolve issues hindering team effectiveness. Model and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. Minimum Degree Required Bachelor's Degree Minimum Year(s) of Experience 8 year(s) Certification(s) Required GCP Professional Cloud Architect, GCP Data Engineer QuickBase App Builder Certification and/ or QuickBase Expert Builder Certification Preferred Qualifications Certification(s) Preferred Snowflake Core, Snowflake Architect, Databricks Data Engineer Associate Preferred Knowledge/Skills Demonstrates in-depth abilities and/or success in one or many of the following areas: Designing and implementing comprehensive data architecture strategies that meet current and future business needs using Google Cloud services; Developing and documenting data models, data flow diagrams, and data architecture guidelines; Assessing that data architecture is compliant with data governance and data security policies; Collaborating with business stakeholders to understand their data requirements and translate them into technical solutions leveraging Google Cloud and Google eco-system solutions; Evaluating and recommending new data technologies and tools to enhance data architecture; Evaluating data and technology architecture options and build case for change across architecture principles like Security, Reliability, Scalability, Maintainability, Automation and Cost management; Developing leading practices and perspectives for Data Engineering, Data Science, and Data Governance and Data Management; Leading the implementation of GCP based solutions, ensuring they meet the specified requirements and best practices across batch, real-time, structured, semi-structured and unstructured datasets; Architecting, designing, building and optimizing ETL/ELT pipelines for data ingestion, processing, and storage; Developing and deploying scalable data storage solutions using GCP services; Architecting, designing, and implementing scalable data pipelines and workflows using GCP tools like Dataflow, Dataprep, Data Fusion, BigQuery, and Cloud Composer, ensuring robust data integration, transformation, and analytics capabilities with advanced BI platforms such as Looker and/ or Tableau; Designing, implementing, and managing workflows using low-code/no-code platforms like Quickbase and /or Pega to streamline processes, integrate with enterprise systems, and build scalable, automation-driven applications; Architecting, designing and implementing data warehouses and data lakes, ensuring data is organized and accessible; Developing frameworks for monitoring and troubleshooting data pipelines, data warehouses and workflows to ensure data quality, system reliability, performance and cost management; Architecting and overseeing implementation of IAM roles and policies to manage access and permissions within GCP; Developing automation strategies leveraging Terraform for infrastructure as code (IaC) deployments; Architecting and implementing services using GCP DevOps services to build and deploy DevOps pipelines; Developing data security industry standard practices using GCP; Optimizing Cloud resources for cost, performance, and scalability; Demonstrating strong proficiency in SQL and experience with relational databases; Familiarity with big data technologies like Hadoop, Spark, or Kafka is a plus; Experience with machine learning and data science workflows is a plus; Knowledge of data governance and data security industry practices; Possessing strong analytical, problem-solving, and communication skill; and, Working independently and as part of a team in a fast-paced environment. Demonstrates in-depth level abilities with, and/or a proven record of success directing efforts in the following areas: Applying modern, cloud-based technology skills, ability to research emerging trends, analyst publications, and adoption of modern technologies in solution architectures; Collaborating and contributing as a team member: understanding personal and team roles, contributing to a positive working environment by building proven relationships with team members, proactively seeking guidance, clarification and feedback; Prioritizing and handling multiple tasks, researching and analyzing pertinent client, industry and technical matters, utilizing problem-solving skills, and communicating effectively in written and verbal formats to various audiences (including various levels of management and external clients) in a professional business environment; Research emerging trends, analyzing publications, and adopting modern technologies in solution architectures; and, Coaching and collaborating with associates who assist with this work, including providing coaching, feedback, and guidance on work performance. Travel Requirements Up to 80% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-work PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy . As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines The salary range for this position is: $124,000 - $280,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager Job Description & Summary At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. Growing as a strategic advisor, you leverage your influence, expertise, and network to deliver quality results. You motivate and coach others, coming together to solve complex problems. As you increase in autonomy, you apply sound judgment, recognising when to take action and when to escalate. You are expected to solve through complexity, ask thoughtful questions, and clearly communicate how things fit together. Your ability to develop and sustain high performing, diverse, and inclusive teams, and your commitment to excellence, contributes to the success of our Firm. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Craft and convey clear, impactful and engaging messages that tell a holistic story. Apply systems thinking to identify underlying problems and/or opportunities. Validate outcomes with clients, share alternative perspectives, and act on client feedback. Direct the team through complexity, demonstrating composure through ambiguous, challenging and uncertain situations. Deepen and evolve your expertise with a focus on staying relevant. Initiate open and honest coaching conversations at all levels. Make difficult decisions and take action to resolve issues hindering team effectiveness. Model and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. Minimum Degree Required Bachelor's Degree Minimum Year(s) of Experience 9 year(s) Preferred Knowledge/Skills Demonstrates intimate-level abilities with, and/or a proven record of success directing efforts in the majority of the following areas: Managing development teams in building of GenAI solutions, including but not limited to prompt engineering, general all-purpose programming (e.g., Python), testing, communication of results, front end and back end integration, and iterative development with clients; Leading a team to document and analyze business processes for Generative AI opportunities, including gathering of requirements, creation of initial GenAI hypotheses, and development of GenAI solution approach; Collaborating with client team to understand their business problem and select the appropriate models and approachesÊfor GenAI use cases; Managing teams to process unstructured and structured data to be consumed as context for LLMs, including but not limited to embedding of large text corpus, generative development of SQL queries, building connectors to structured databases; Directing architects to design and solution GenAI architectures for clients, specifically for plugin based solutions (i.e., ChatClient application with plugins) and custom GenAI application builds; Directing data engineers and other data scientists to deliver efficient solutions to meet client requirements; Managing daily operations of a global data and analytics team on client engagements, review developed models, provide feedback and assist in analysis; Facilitating and conducting executive level presentations to showcase GenAI solutions, development progress, and next steps; Managing associates and senior associates through coaching, providing feedback, and guiding work performance; Leading business development activities for clients, including but not limited to facilitating the sales cycle of GenAI proposals; and, Leading internal asset development to build foundational GenAI practice. Demonstrates intimate level abilities and/or a proven record of success learning and performing in functional and technical capacities, including the following areas: Managing GenAI application development teams including back-end and front-end integrations; Using Python (e.g., Pandas, NLTK, etc.), common LLM development frameworks (e.g., Langchain, Semantic Kernel), Relational storage (SQL), Non-relational storage (NoSQL); Vectorization and embedding, prompt engineering, RAG (retrieval, augmented, generation) workflow dev; Possessing hands on experience with Azure, AWS, and / or Google Cloud platforms; Demonstrating experience with Git Version Control, Unit/Integration/End-to-End Testing, CI/CD, release management, etc.; and, Delivering successful technology creation, functional code, AI solutions and Data Platforms. Travel Requirements Up to 80% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-work PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy . As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines The salary range for this position is: $124,000 - $280,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager Job Description & Summary At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member's unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Analyse and identify the linkages and interactions between the component parts of an entire system. Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion. Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables. Develop skills outside your comfort zone, and encourage others to do the same. Effectively mentor others. Use the review of work as an opportunity to deepen the expertise of team members. Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. Minimum Degree Required Bachelor's Degree Minimum Year(s) of Experience 7 year(s) Demonstrates extensive-level abilities and/or a proven record of success managing the identification and addressing of client needs: Managing development teams in building of AI and GenAI solutions, including but not limited to analytical modeling, prompt engineering, general all-purpose programming (e.g., Python), testing, communication of results, front end and back-end integration, and iterative development with clients Documenting and analyzing business processes for AI and Generative AI opportunities, including gathering of requirements, creation of initial hypotheses, and development of AI/GenAI solution approach Collaborating with client team to understand their business problem and select the appropriate models and approaches for AI/GenAI use cases Designing and solutioning AI/GenAI architectures for clients, specifically for plugin-based solutions (i.e., ChatClient application with plugins) and custom AI/GenAI application builds Managing teams to process unstructured and structured data to be consumed as context for LLMs, including but not limited to embedding of large text corpus, generative development of SQL queries, building connectors to structured databases Managing daily operations of a global data and analytics team on client engagements, review developed models, provide feedback and assist in analysis; Directing data engineers and other data scientists to deliver efficient solutions to meet client requirements; Leading and contributing to development of proof of concepts, pilots, and production use cases for clients while working in cross-functional teams; Facilitating and conducting executive level presentations to showcase GenAI solutions, development progress, and next steps Structuring, write, communicate and facilitate client presentations; and, Managing associates and senior associates through coaching, providing feedback, and guiding work performance. Demonstrates extensive abilities and/or a proven record of success learning and performing in functional and technical capacities, including the following areas: Managing GenAI application development teams including back-end and front-end integrations Using Python (e.g., Pandas, NLTK, Scikit-learn, Keras, etc.), common LLM development frameworks (e.g., Langchain, Semantic Kernel), Relational storage (SQL), Non-relational storage (NoSQL); Experience in analytical techniques such as Machine Learning, Deep Learning and Optimization Vectorization and embedding, prompt engineering, RAG (retrieval, augmented, generation) workflow dev Understanding or hands on experience with Azure, AWS, and / or Google Cloud platforms Experience with Git Version Control, Unit/Integration/End-to-End Testing, CI/CD, release management, etc. Travel Requirements Up to 80% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-work PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy . As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines The salary range for this position is: $99,000 - $232,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

Industry/Sector Technology Specialism Data, Analytics & AI Management Level Manager Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member's unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Analyse and identify the linkages and interactions between the component parts of an entire system. Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion. Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables. Develop skills outside your comfort zone, and encourage others to do the same. Effectively mentor others. Use the review of work as an opportunity to deepen the expertise of team members. Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. Minimum Degree Required Bachelor's Degree Required Field(s) of Study Management Information Systems,Computer and Information Science,Systems Engineering,Electrical Engineering,Chemical Engineering,Industrial Engineering,Mathematics,Statistics,Mathematical Statistics Minimum Year(s) of Experience 5 year(s) Certification(s) Required GCP Professional Cloud Architect, GCP Data Engineer QuickBase App Builder Certification and/ or QuickBase Expert Builder Certification Preferred Qualifications Certification(s) Preferred Snowflake Core, Snowflake Architect, Databricks Data Engineer Associate Preferred Knowledge/Skills Demonstrates extensive abilities and/or success in one or many of the following areas: Design and implement comprehensive data architecture strategies that meet current and future business needs using Google Cloud services; Develop and document data models, data flow diagrams, and data architecture guidelines; Ensure data architecture is compliant with data governance and data security policies; Collaborate with business stakeholders to understand their data requirements and translate them into technical solutions leveraging Google Cloud and Google eco-system solutions; Evaluate and recommend new data technologies and tools to enhance data architecture; Evaluate data and technology architecture options and build case for change across architecture principles like Security, Reliability, Scalability, Maintainability, Automation and Cost management; Develop leading practices and perspectives for Data Engineering, Data Science, and Data Governance and Data Management; Lead the implementation of GCP based solutions, ensuring they meet the specified requirements and best practices across batch, real-time, structured, semi-structured and unstructured datasets; Architect, design, build and optimize ETL/ELT pipelines for data ingestion, processing, and storage; Develop and deploy scalable data storage solutions using GCP services; Architect, design, and implement scalable data pipelines and workflows using GCP tools like Dataflow, Dataprep, Data Fusion, BigQuery, and Cloud Composer, ensuring robust data integration, transformation, and analytics capabilities with advanced BI platforms such as Looker and/ or Tableau; Design, implement, and manage workflows using low-code/no-code platforms like Quickbase and /or Pega to streamline processes, integrate with enterprise systems, and build scalable, automation-driven applications; Architect, Design and implement data warehouses and data lakes, ensuring data is organized and accessible; Develop frameworks for monitoring and troubleshooting data pipelines, data warehouses and workflows to ensure data quality, system reliability, performance and cost management; Architect and oversee implementation of IAM roles and policies to manage access and permissions within GCP; Develop automation strategies leveraging Terraform for infrastructure as code (IaC) deployments; Architect and implement services using GCP DevOps services to build and deploy DevOps pipelines; Develop data security best practices using GCP; Optimize Cloud resources for cost, performance, and scalability; Possess strong proficiency in SQL and experience with relational databases; Demonstrate familiarity with big data technologies like Hadoop, Spark, or Kafka is a plus; Experience with machine learning and data science workflows is a plus; Knowledge of data governance and data security best practices; Possess proven analytical, problem-solving, and communication skill; and, Work independently and as part of a team in a fast-paced environment. Demonstrates extensive level abilities with, and/or a proven record of success directing efforts in the following areas: Apply modern, cloud-based technology skills, ability to research emerging trends, analyst publications, and adoption of modern technologies in solution architectures; Understand personal and team roles, contribute to a positive working environment by building proven relationships with team members, proactively seeking guidance, clarification and feedback; Prioritize and handle multiple tasks, research and analyze pertinent client, industry and technical matters, utilize problem-solving skills, and communicate in written and verbal formats to various audiences (including various levels of management and external clients) in a professional business environment; Research emerging trends, analyzing publications, and adopting modern technologies in solution architectures; and, Coach and collaborate with associates who assist with this work, including providing coaching, feedback, and guidance on work performance. Travel Requirements Up to 80% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-work PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy . As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines The salary range for this position is: $99,000 - $232,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

Company: Marsh McLennan Agency Description: Our not-so-secret sauce. Award-winning, inclusive, Top Workplace culture doesn't happen overnight. It's a result of hard work by extraordinary people. The industry's brightest talent drive our efforts to deliver purposeful work and meaningful impact every day. Learn more about what makes us different and how you can make your mark as the Enterprise Data Leader at MMA. Marsh McLennan Agency (MMA) provides business insurance, employee health & benefits, retirement, and private client insurance solutions to organizations and individuals seeking limitless possibilities. With offices across North America, we combine the personalized service model of a local consultant with the global resources of the world's leading professional services firm, Marsh McLennan (NYSE: MMC). A day in the life. The Enterprise Data Leader will oversee MMA's data strategy, ensuring data governance, quality, and accessibility to support business decision-making. This role will lead initiatives for data integration and management across the enterprise, including a strong focus on enhancing the integration of acquisition data. Working with business strategy leadership, this role will be at the forefront of the MMA data platform, responsible for overseeing the collection, management, and analysis of data across MMA. In addition this leader will support global MMC initiatives to bridge and unify data when applicable to MMA. This role will establish best practices for data governance and ensure that our data initiatives align with business objectives, driving insights and informed decision-making throughout the organization. The Enterprise Data Leader will collaborate closely with cross-functional teams, including IT and operations, to identify data needs and translate them into actionable strategies. Guiding the team through the entire data lifecycle, from data acquisition and cleaning to analysis and reporting. In addition to mentoring and empowering the team, this leader will champion a culture of data-driven decision-making and continuous improvement across the organization. Staying abreast of emerging technologies and industry trends, they will evaluate new tools and methodologies to enhance our data capabilities and drive operational efficiency. Key Responsibilities: Data Platform Leadership: Own the design, implementation, and management of enterprise data platforms, including data lakes, data warehouses, and data integration tools. Partner with infrastructure and security teams to ensure scalable, resilient, and secure environments. Data Architecture and Engineering: Define and evolve data architecture standards and patterns for ingestion, transformation, and delivery. Oversee the development and support of robust data pipelines to ensure high-quality, timely data access. Responsible for aligning data architecture with enterprise architecture and business goals to ensure that data systems are integrated effectively, including strategy around new acquisition data integration. Governance & Quality: Operationalize data governance across domains, driving metadata management, lineage, stewardship, and quality frameworks. Collaborate with legal, compliance, and security teams to ensure all data meets regulatory and privacy standards. Team Leadership & Organizational Development: Lead and grow a team of data architects, engineers, and governance professionals. Create a high-performing, collaborative, and accountable team culture aligned with enterprise goals. Business Partnership & Enablement: Partner with analytics, operations, and functional leaders to deliver reliable data services that meet strategic and operational goals. Act as a key advisor to the enterprise data strategy group, shaping priorities, investments, and adoption paths. Operational Oversight: Ensure efficient operations, capacity planning, and incident response within the data services domain. Establish SLAs, KPIs, and reporting to measure data team performance and platform value. Emerging Technologies Evaluation: Stay informed about emerging data technologies and industry trends, evaluating their potential impact on the enterprise data environment and recommending adoption where appropriate. Our future colleague. We'd love to meet you if your professional track record includes these skills: Enterprise Data Architecture: Extensive experience in designing and implementing enterprise data architectures that support data integration and analytics initiatives. Data Governance Expertise: In-depth knowledge of data governance frameworks, data quality standards, and best practices in data management to ensure compliance and integrity. Analytical Tools Proficiency: Familiarity with data analytics tools and programming languages (e.g., SQL, Python, R), as well as data visualization tools (e.g., Tableau, Power BI) to effectively communicate insights. Modern Data Technologies: Proficiency in modern data storage technologies (e.g., SQL, NoSQL) and experience with cloud data platforms (e.g., AWS, Azure) to leverage scalable data solutions. Data Standards and Security: Experience in establishing and enforcing data standards, security protocols, and performance benchmarks to protect organizational data assets. MMA IT Leadership Core Requirements: Business Acumen: Strong understanding of business operations and strategy, with the ability to align technology decisions with business goals and drive value for the organization. Cross-Functional Leadership Experience: Proven ability to lead cross-functional teams and initiatives, fostering collaboration among IT, business units, and other stakeholders to achieve common goal. Strong Communication Skills: Excellent verbal and written communication skills, with the ability to convey complex architectural concepts to both technical and non-technical stakeholders effectively. Problem-Solving Skills: Strong problem-solving skills, with a track record of identifying and resolving complex technical challenges. Leadership and Mentorship: Demonstrated leadership skills, with experience mentoring and developing team members and proven track record of growing leaders. Financial and Operational Management: Proven ability to manage team budgets, ensuring financial resources are utilized effectively to meet key metrics, project and departmental goals. Enterprise Transformation: Demonstrated experience in leading large-scale enterprise transformation initiatives, including successful implementation of new technologies and processes. Change Management: Proven experience in leading change management efforts related to technology, people, process and digital enablement ensuring stakeholder buy-in. Agile Transformation Leadership: Experience in leading Agile transformation initiatives within IT teams, fostering a culture of collaboration, flexibility, and responsiveness to changing business needs. Continuous Improvement Focus: A commitment to fostering a culture of continuous improvement, leveraging feedback and lessons learned to enhance processes and practices. Regulatory Compliance Experience: Familiarity with industry-specific regulatory or business control requirements (e.g., SOC, NYDFS, ITGC, HIPAA) and experience in ensuring that enterprise technology solutions comply with these requirements. Culture and Engagement: Experience working in diverse, global teams, with an understanding of cultural differences and the ability to foster an inclusive, authentic environment that values diverse perspectives and builds a community of colleague engagement and satisfaction. We know there are excellent candidates who might not check all of these boxes. Don't be shy. If you're close, we'd be very interested in meeting you. Valuable benefits. We value and respect the impact our colleagues make every day both inside and outside of work. Our culture promotes colleague well-being through robust benefits programs and resources, professional and personal development opportunities, and fulfillment through meaningful work. Some benefits included in this role are: Generous time off, including personal and volunteering Tuition reimbursement and professional development opportunities Remote work Charitable contribution match programs Stock purchase opportunities To learn more about a career at MMA, check us out our website or flip through recruiting brochure. Follow us on social media to meet our colleagues and see what makes us tick: Instagram Facebook X LinkedIn Who you are is who we are. We embrace a culture that celebrates and promotes the many backgrounds, heritages and perspectives of our colleagues and clients. We are always seeking those with ethics, talent, and ambition who are interested in joining our client-focused teams. Marsh McLennan and its affiliates are EOE Minority/Female/Disability/Vet/Sexual Orientation/Gender Identity employers. #LI-REMOTE The applicable base salary range for this role is $119,500 to $209,200. The base pay offered will be determined on factors such as experience, skills, training, location, certifications, education, and any applicable minimum wage requirements. Decisions will be determined on a case-by-case basis. In addition to the base salary, this position may be eligible for performance-based incentives. We are excited to offer a competitive total rewards package which includes health and welfare benefits, tuition assistance, 401K savings and other retirement programs as well as employee assistance programs. Applications will be accepted until: August 29, 2025

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Associate Job Description & Summary At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. Driven by curiosity, you are a reliable, contributing member of a team. In our fast-paced environment, you are expected to adapt to working with a variety of clients and team members, each presenting varying challenges and scope. Every experience is an opportunity to learn and grow. You are expected to take ownership and consistently deliver quality work that drives value for our clients and success as a team. As you navigate through the Firm, you build a brand for yourself, opening doors to more opportunities. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Apply a learning mindset and take ownership for your own development. Appreciate diverse perspectives, needs, and feelings of others. Adopt habits to sustain high performance and develop your potential. Actively listen, ask questions to check understanding, and clearly express ideas. Seek, reflect, act on, and give feedback. Gather information from a range of sources to analyse facts and discern patterns. Commit to understanding how the business works and building commercial awareness. Learn and apply professional and technical standards (e.g. refer to specific PwC tax and audit guidance), uphold the Firm's code of conduct and independence requirements. Minimum Degree Required Bachelor's Degree Minimum Year(s) of Experience 1 year(s) Demonstrates thorough-level abilities and/or a proven record of success managing the identification and addressing of client needs: Building of GenAI and AI solutions, including but not limited to analytical model development and implementation, prompt engineering, general all-purpose programming (e.g., Python), testing, communication of results, front end and back-end integration, and iterative development with clients Documenting and analyzing business processes for AI and Generative AI opportunities, including gathering of requirements, creation of initial hypotheses, and development of GenAI and AI solution approach Collaborating with client team to understand their business problem and select the appropriate analytical models and approaches for AI and GenAI use cases Designing and solutioning AI/GenAI architectures for clients, specifically for plugin-based solutions (i.e., ChatClient application with plugins) and custom AI/GenAI application builds Processing unstructured and structured data to be consumed as context for LLMs, including but not limited to embedding of large text corpus, generative development of SQL queries, building connectors to structured databases Support management of daily operations of a global data and analytics team on client engagements, review developed models, provide feedback and assist in analysis; Directing data engineers and other data scientists to deliver efficient solutions to meet client requirements; Leading and contributing to development of proof of concepts, pilots, and production use cases for clients while working in cross-functional teams; Structuring, write, communicate and facilitate client presentations; and, Directing associates through coaching, providing feedback, and guiding work performance. Demonstrates thorough abilities and/or a proven record of success learning and performing in functional and technical capacities, including the following areas: Managing AI/GenAI application development teams including back-end and front-end integrations Using Python (e.g., Pandas, NLTK, Scikit-learn, Keras etc.), common LLM development frameworks (e.g., Langchain, Semantic Kernel), Relational storage (SQL), Non-relational storage (NoSQL); Experience in analytical techniques such as Machine Learning, Deep Learning and Optimization Vectorization and embedding, prompt engineering, RAG (retrieval, augmented, generation) workflow dev Understanding or hands on experience with Azure, AWS, and / or Google Cloud platforms Experience with Git Version Control, Unit/Integration/End-to-End Testing, CI/CD, release management, etc. Travel Requirements Up to 80% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-work PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy . As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines The salary range for this position is: $63,000 - $140,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

Our not-so-secret sauce. Award-winning, inclusive, Top Workplace culture doesn't happen overnight. It's a result of hard work by extraordinary people. More than 11,000 of the industry's brightest talent drive our efforts to deliver purposeful work and meaningful impact every day. Learn more about what makes us different and how you can thrive as a Senior Data Architect at Marsh McLennan Agency (MMA). MMA provides business insurance, employee health & benefits, retirement, and private client insurance solutions to organizations and individuals seeking limitless possibilities. With 200 offices across North America, we combine the personalized service model of a local consultant with the global resources of the world's leading professional services firm, Marsh McLennan (NYSE: MMC). A day in the life. As a Senior Data Architect on the Data team, you'll establish consistent data standards, reference architectures, patterns, and practices across the organization for both OLTP and OLAP (Data warehouse, Data Lake house) MDM and AI/ML technologies. You will define reference data architecture and work with agile teams to ensure the documented best practices are used in data platform development. Additionally, you'll create strategies and design solutions for a wide variety of use cases like Data Migration (end-to-end ETL process), database optimization, and data architectural solutions for Analytics Data Projects. You will also design, develop, and troubleshoot highly complex technical problems in OLAP/OLTP/DW, Analytics, and provide solutions for Enterprise-level Applications utilizing Azure Data Platform. Our future colleague. We'd love to meet you if your professional track record includes these skills: 10+ or more years of experience in Information Technology. 5 to 10 years of experience in Enterprise data architecture, Data, Modelling, Data management and Data strategy 5 to 7 years of experience in Cloud database technologies. 7 to 10 years of experience as a data architect Solid understanding of databases and the strengths and weaknesses of platforms and products, with the ability to provide a trusted voice at the decision-making table Expertise in creating ER (Entity Relationship), Logical, Physical, and Conceptual data models for an enterprise Experience in data modeling, streaming skills, and data architecture for operational and analytical datastores Proficiency in the design of batch and streaming data ingestion Knowledge in designing solutions with Data Quality, Data Lineage, and Data Catalogs Experience with solving performance challenges for a variety of velocities, latencies, and volumes of data Designing and maintaining the data models, including conceptual, logical, and physical data models Experience with SOA data layer utilizing data access frameworks and exposing data via web services Experience with Business Intelligence and data mart architecture Experience creating a data architecture vision between lines of business and IT Demonstrated competency in communicating the value of data architecture to stakeholders and senior management Experience in SDLC processes, database patterns, and development frameworks Strong interpersonal, verbal, and written communication skills, with the ability to develop and conduct executive-level presentations Experience crafting solutions that leverage data in NoSQL and SQL datastores for high availability and disaster tolerance Preferred experience with Kubernetes, Cloud Native ecosystem, and Data Lake/Data Warehouse technologies Deep expertise in Data engineering capabilities involving architecture, modeling (physical and logical), data governance, storage, security, resilience, and replication Knowledge of Informatica - IICS task flows development and maintenance Experience with MongoDB or another NoSQL database, PostgreSQL, or any relational database Experience with Azure, Data Lake, Databricks, SQL, ETL, and MDM Experience with data integration services such as Azure Data Factory Experience with business intelligence tools; Power BI or Qlik is preferred Experience in designing and building large-scale, enterprise systems in a highly available, scalable, performant, and distributed environment These additional qualifications are a plus, but not required to apply: Knowledge of Agency Management systems like Applied EPIC and Vertafore Sagitta, Benefit Point Microsoft Azure Data Engineer or other cloud certifications Data bricks experience and certification We know there are excellent candidates who might not check all of these boxes. Don't be shy. If you're close, we'd be very interested in meeting you. Valuable benefits. We value and respect the impact our colleagues make every day both inside and outside our organization. We've built a culture that promotes colleague well-being through robust benefit programs and resources, encourages professional and personal development, and celebrates opportunities to pursue the projects and causes that give colleagues fulfillment outside of work. Some benefits included in this role are: Generous time off, including personal and volunteering Tuition reimbursement and professional development opportunities Remote work Charitable contribution match programs Stock purchase opportunities To learn more about a career at MMA, check us out online: http://marshmma.com/careers or flip through our recruiting brochure: https://bit.ly/3Qpcjmw Follow us on social media to meet our colleagues and see what makes us tick: https://www.instagram.com/lifeatmma/ https://www.facebook.com/LifeatMMA https://www.linkedin.com/company/marsh-mclennan-agency/ Who you are is who we are. We embrace a culture that celebrates and promotes the many backgrounds, heritages, and perspectives of our colleagues and clients. We are always seeking those with ethics, talent, and ambition who are interested in joining our client-focused teams. Marsh McLennan and its affiliates are EOE Minority/Female/Disability/Vet/Sexual Orientation/Gender Identity employers. #LI-Remote The applicable base salary range for this role is $113,000 to $197,800. The base pay offered will be determined on factors such as experience, skills, training, location, certifications, education, and any applicable minimum wage requirements. Decisions will be determined on a case-by-case basis. In addition to the base salary, this position may be eligible for performance-based incentives. We are excited to offer a competitive total rewards package which includes health and welfare benefits, tuition assistance, 401K savings and other retirement programs as well as employee assistance programs. Applications will be accepted until: August 25, 2025

Job Description Summary This position is responsible for building, managing, and supporting our fleet of AWS Redshift data warehouse environments. This role designs, implements, and optimizes data architectures and cluster topologies that enable and support a variety data warehousing, analytics, and reporting workloads. Job Description Roles and Responsibilities: In this role you will: Leverage expertise in Amazon Redshift to design, deploy, and maintain our fleet of clusters, tuning the environments to optimize query performance, effectively manage resources, and implement best practices for data storage, retrieval, and processing. Manage data access policies and practices for our AWS Redshift Fleet, ensuring compliance with regulations like CMMC, DFARS, ITAR, NIST 800-171). Monitor and optimize the performance of the data platform, including tuning Redshift queries, implementing best practices for data partitioning, compression, and caching, and utilizing tools like Amazon Redshift Advisor. Document data architectures, data flows, standards, and best practices to ensure consistency and facilitate knowledge sharing across teams. Configure monitoring and logging systems to track platform performance, troubleshoot issues, and respond to incidents promptly. Anticipate, track and advise management on risks and opportunities pertaining to trade-offs between performance and cost Stay abreast of the latest technologies, architecture trends, and management best practices pertaining to analytical data storage. Assist with monitoring, tracking and forecasting of cloud costs across the Data Warehouse Minimum Qualifications: Bachelor's Degree in Computer Science or "STEM" Majors (Science, Technology, Engineering and Math) with a minimum of 6 years of experience in cloud & database storage technologies such as AWS RedShift Minimum 4 years experience with database technology and minimum 3 years of experience on AWS or equivalent cloud technologies Eligibility Requirement: Legal authorization to work in the U.S. is required. We will not sponsor individuals for employment visas, now or in the future, for this job. Desired Characteristics: Technical Expertise: Direct experience with provisioning, managing AWS Redshift or other cloud-native data warehouse-like solutions Experience with MPP data architecture and performance optimizations Experience / Familiarity with other AWS data services such as S3, Glue, Athena, Lambda, and DynamoDB Experience with Infrastructure as Code (IaC) tools like CloudFormation or Terraform Experience with designing and implementing security policies in AWS (IAM, resource policies, roles) Familiarity with the operation and support of workloads from data visualization platforms AWS certifications (e.g., AWS Certified Data Analytics, AWS Certified Solutions Architect). Familiarity with ITIL service management practices, including Incident Management, Change management, Problem management, availability management Business Acumen: Adept at navigating the organizational matrix; understanding people's roles, can foresee obstacles, identify workarounds, leverage resources and rally teammates. Understand how internal and/or external business model works and facilitate active customer engagement Able to articulate the value of what is most important to the business/customer to achieve outcomes Able to produce functional area information in sufficient detail for cross-functional teams to utilize, using presentation and storytelling concepts. Possess extensive knowledge of full solution catalog within a business unit and proficiency in discussing each area at an advanced level. Ability to leverage historical & current data to build forecasts on cluster needs and cost; ability to build & update the logic required for assessing out cost to our partners. Leadership: Demonstrated working knowledge of internal organization. Foresee obstacles, identify workarounds, leverage resources, rally teammates. Delivers tasks on-time with alignment to architectural goals. Can identify and raise issues, risks and benefits. High say do ratio. Demonstrated ability to work with and/or lead blended teams, including 3rd party partners and customer personnel. Demonstrated Change Management /Acceleration capabilities Strong interpersonal skills, including creativity and curiosity with ability to effectively communicate and influence across all organizational levels Proven analytical and problem resolution skills Ability to influence and build consensus with other Information Technology (IT) teams and leadership Passionate about Problem Solving and the continuous improvement journey along the FLIGHT DECK fundamentals. Ability to thrive is a highly matrixed environment Note: To comply with US immigration and other legal requirements, it is necessary to specify the minimum number of years' experience required for any role based within the USA. For roles outside of the USA, to ensure compliance with applicable legislation, the JDs should focus on the substantive level of experience required for the role and a minimum number of years should NOT be used. This Job Description is intended to provide a high level guide to the role. However, it is not intended to amend or otherwise restrict/expand the duties required from each individual employee as set out in their respective employment contract and/or as otherwise agreed between an employee and their manager. This role requires access to U.S. export-controlled information. Therefore, for applicants who are not asylees, refugees, lawful permanent residents or U.S. Citizens (i.e., not a protected individual under the Immigration and Naturalization Act, 8 U.S.C. 1324b(a)(3), otherwise known as a U.S. Person), final offers will be contingent on the ability to obtain authorization for access to U.S. export-controlled information from the U.S. Government. Additional Information GE Aerospace offers a great work environment, professional development, challenging careers, and competitive compensation. GE Aerospace is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE Aerospace will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). Relocation Assistance Provided: No

Our not-so-secret sauce. Award-winning, inclusive, Top Workplace culture doesn't happen overnight. It's a result of hard work by extraordinary people. More than 11,000 of the industry's brightest talent drive our efforts to deliver purposeful work and meaningful impact every day. Learn more about what makes us different and how you can thrive as a Senior Data Architect at Marsh McLennan Agency (MMA). MMA provides business insurance, employee health & benefits, retirement, and private client insurance solutions to organizations and individuals seeking limitless possibilities. With 200 offices across North America, we combine the personalized service model of a local consultant with the global resources of the world's leading professional services firm, Marsh McLennan (NYSE: MMC). A day in the life. As a Senior Data Architect on the Data team, you'll establish consistent data standards, reference architectures, patterns, and practices across the organization for both OLTP and OLAP (Data warehouse, Data Lake house) MDM and AI/ML technologies. You will define reference data architecture and work with agile teams to ensure the documented best practices are used in data platform development. Additionally, you'll create strategies and design solutions for a wide variety of use cases like Data Migration (end-to-end ETL process), database optimization, and data architectural solutions for Analytics Data Projects. You will also design, develop, and troubleshoot highly complex technical problems in OLAP/OLTP/DW, Analytics, and provide solutions for Enterprise-level Applications utilizing Azure Data Platform. Our future colleague. We'd love to meet you if your professional track record includes these skills: 10+ or more years of experience in Information Technology. 5 to 10 years of experience in Enterprise data architecture, Data, Modelling, Data management and Data strategy 5 to 7 years of experience in Cloud database technologies. 7 to 10 years of experience as a data architect Solid understanding of databases and the strengths and weaknesses of platforms and products, with the ability to provide a trusted voice at the decision-making table Expertise in creating ER (Entity Relationship), Logical, Physical, and Conceptual data models for an enterprise Experience in data modeling, streaming skills, and data architecture for operational and analytical datastores Proficiency in the design of batch and streaming data ingestion Knowledge in designing solutions with Data Quality, Data Lineage, and Data Catalogs Experience with solving performance challenges for a variety of velocities, latencies, and volumes of data Designing and maintaining the data models, including conceptual, logical, and physical data models Experience with SOA data layer utilizing data access frameworks and exposing data via web services Experience with Business Intelligence and data mart architecture Experience creating a data architecture vision between lines of business and IT Demonstrated competency in communicating the value of data architecture to stakeholders and senior management Experience in SDLC processes, database patterns, and development frameworks Strong interpersonal, verbal, and written communication skills, with the ability to develop and conduct executive-level presentations Experience crafting solutions that leverage data in NoSQL and SQL datastores for high availability and disaster tolerance Preferred experience with Kubernetes, Cloud Native ecosystem, and Data Lake/Data Warehouse technologies Deep expertise in Data engineering capabilities involving architecture, modeling (physical and logical), data governance, storage, security, resilience, and replication Knowledge of Informatica - IICS task flows development and maintenance Experience with MongoDB or another NoSQL database, PostgreSQL, or any relational database Experience with Azure, Data Lake, Databricks, SQL, ETL, and MDM Experience with data integration services such as Azure Data Factory Experience with business intelligence tools; Power BI or Qlik is preferred Experience in designing and building large-scale, enterprise systems in a highly available, scalable, performant, and distributed environment These additional qualifications are a plus, but not required to apply: Knowledge of Agency Management systems like Applied EPIC and Vertafore Sagitta, Benefit Point Microsoft Azure Data Engineer or other cloud certifications Data bricks experience and certification We know there are excellent candidates who might not check all of these boxes. Don't be shy. If you're close, we'd be very interested in meeting you. Valuable benefits. We value and respect the impact our colleagues make every day both inside and outside our organization. We've built a culture that promotes colleague well-being through robust benefit programs and resources, encourages professional and personal development, and celebrates opportunities to pursue the projects and causes that give colleagues fulfillment outside of work. Some benefits included in this role are: Generous time off, including personal and volunteering Tuition reimbursement and professional development opportunities Remote work Charitable contribution match programs Stock purchase opportunities To learn more about a career at MMA, check us out online: http://marshmma.com/careers or flip through our recruiting brochure: https://bit.ly/3Qpcjmw Follow us on social media to meet our colleagues and see what makes us tick: https://www.instagram.com/lifeatmma/ https://www.facebook.com/LifeatMMA https://www.linkedin.com/company/marsh-mclennan-agency/ Who you are is who we are. We embrace a culture that celebrates and promotes the many backgrounds, heritages, and perspectives of our colleagues and clients. We are always seeking those with ethics, talent, and ambition who are interested in joining our client-focused teams. Marsh McLennan and its affiliates are EOE Minority/Female/Disability/Vet/Sexual Orientation/Gender Identity employers. #LI-Remote The applicable base salary range for this role is $113,000 to $197,800. The base pay offered will be determined on factors such as experience, skills, training, location, certifications, education, and any applicable minimum wage requirements. Decisions will be determined on a case-by-case basis. In addition to the base salary, this position may be eligible for performance-based incentives. We are excited to offer a competitive total rewards package which includes health and welfare benefits, tuition assistance, 401K savings and other retirement programs as well as employee assistance programs. Applications will be accepted until: August 25, 2025

Industry/Sector Technology Specialism Data, Analytics & AI Management Level Senior Manager Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. Growing as a strategic advisor, you leverage your influence, expertise, and network to deliver quality results. You motivate and coach others, coming together to solve complex problems. As you increase in autonomy, you apply sound judgment, recognising when to take action and when to escalate. You are expected to solve through complexity, ask thoughtful questions, and clearly communicate how things fit together. Your ability to develop and sustain high performing, diverse, and inclusive teams, and your commitment to excellence, contributes to the success of our Firm. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Craft and convey clear, impactful and engaging messages that tell a holistic story. Apply systems thinking to identify underlying problems and/or opportunities. Validate outcomes with clients, share alternative perspectives, and act on client feedback. Direct the team through complexity, demonstrating composure through ambiguous, challenging and uncertain situations. Deepen and evolve your expertise with a focus on staying relevant. Initiate open and honest coaching conversations at all levels. Make difficult decisions and take action to resolve issues hindering team effectiveness. Model and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. Minimum Degree Required Bachelor's Degree Minimum Year(s) of Experience 8 year(s) Certification(s) Required GCP Professional Cloud Architect, GCP Data Engineer QuickBase App Builder Certification and/ or QuickBase Expert Builder Certification Preferred Qualifications Certification(s) Preferred Snowflake Core, Snowflake Architect, Databricks Data Engineer Associate Preferred Knowledge/Skills Demonstrates in-depth abilities and/or success in one or many of the following areas: Designing and implementing comprehensive data architecture strategies that meet current and future business needs using Google Cloud services; Developing and documenting data models, data flow diagrams, and data architecture guidelines; Assessing that data architecture is compliant with data governance and data security policies; Collaborating with business stakeholders to understand their data requirements and translate them into technical solutions leveraging Google Cloud and Google eco-system solutions; Evaluating and recommending new data technologies and tools to enhance data architecture; Evaluating data and technology architecture options and build case for change across architecture principles like Security, Reliability, Scalability, Maintainability, Automation and Cost management; Developing leading practices and perspectives for Data Engineering, Data Science, and Data Governance and Data Management; Leading the implementation of GCP based solutions, ensuring they meet the specified requirements and best practices across batch, real-time, structured, semi-structured and unstructured datasets; Architecting, designing, building and optimizing ETL/ELT pipelines for data ingestion, processing, and storage; Developing and deploying scalable data storage solutions using GCP services; Architecting, designing, and implementing scalable data pipelines and workflows using GCP tools like Dataflow, Dataprep, Data Fusion, BigQuery, and Cloud Composer, ensuring robust data integration, transformation, and analytics capabilities with advanced BI platforms such as Looker and/ or Tableau; Designing, implementing, and managing workflows using low-code/no-code platforms like Quickbase and /or Pega to streamline processes, integrate with enterprise systems, and build scalable, automation-driven applications; Architecting, designing and implementing data warehouses and data lakes, ensuring data is organized and accessible; Developing frameworks for monitoring and troubleshooting data pipelines, data warehouses and workflows to ensure data quality, system reliability, performance and cost management; Architecting and overseeing implementation of IAM roles and policies to manage access and permissions within GCP; Developing automation strategies leveraging Terraform for infrastructure as code (IaC) deployments; Architecting and implementing services using GCP DevOps services to build and deploy DevOps pipelines; Developing data security industry standard practices using GCP; Optimizing Cloud resources for cost, performance, and scalability; Demonstrating strong proficiency in SQL and experience with relational databases; Familiarity with big data technologies like Hadoop, Spark, or Kafka is a plus; Experience with machine learning and data science workflows is a plus; Knowledge of data governance and data security industry practices; Possessing strong analytical, problem-solving, and communication skill; and, Working independently and as part of a team in a fast-paced environment. Demonstrates in-depth level abilities with, and/or a proven record of success directing efforts in the following areas: Applying modern, cloud-based technology skills, ability to research emerging trends, analyst publications, and adoption of modern technologies in solution architectures; Collaborating and contributing as a team member: understanding personal and team roles, contributing to a positive working environment by building proven relationships with team members, proactively seeking guidance, clarification and feedback; Prioritizing and handling multiple tasks, researching and analyzing pertinent client, industry and technical matters, utilizing problem-solving skills, and communicating effectively in written and verbal formats to various audiences (including various levels of management and external clients) in a professional business environment; Research emerging trends, analyzing publications, and adopting modern technologies in solution architectures; and, Coaching and collaborating with associates who assist with this work, including providing coaching, feedback, and guidance on work performance. Travel Requirements Up to 80% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-work PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy . As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines The salary range for this position is: $124,000 - $280,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

Vertical Sales Manager, Advanced Manufacturing, Global Projects Who we are: Atkore is forging a future where our employees, customers, suppliers, shareholders, and communities are building better together - a future focused on serving the customer and powering and protecting the world. With a global network of manufacturing and distribution facilities, Atkore is a leading provider of electrical, safety and infrastructure solutions. Who we are looking for: Atkore is engaged in a new strategic business initiative to address the ever-changing needs of our global customers as they develop mega and multi-site construction programs around the world. On these projects our customers are often Owners, Specifying Engineers, General Contractors and Mechanical, Electrical and Plumbing (MEP) Subcontractors and Off-Site Manufacturing Companies all working in partnership. We are currently looking for a Vertical Sales Manager to support the Data Center verticals within this space. The National Sales Manager's primary responsibility is for driving revenue and market share growth for large projects and programs, within the datacenter vertical markets. We are seeking communicative candidates who are proactive and passionate about company products and the clients they serve. The Sales Manager, Data Center Construction will act as a point of contact for their clients. They will build long-lasting, mutually beneficial relationships with their contacts, always striving to find the products and solutions which best fit the individual needs of the client. They also aid internal departments by collecting information, such as sales leads or testimonials, assisting in the processing and analysis of client data and requirements, and identifying industry trends. This role will be part of a global team developing new business either through global customers or specific large projects within a region. They will need to build internal relationship that support the external objectives. What you'll do: Communicating with clients to understand their needs and explain brand product portfolio Building relationships with clients acting as the main point of contact for Atkore Collaborating with internal departments to facilitate client need fulfillment Develop and nurture client relationships so that they become strategic partners Target key clients either on a global or regional basis in alignment with specific vertical markets Must be comfortable addressing different levels of managers / executives with a level of technical ability and commercial know how Be able to demonstrate true value to the client and engaging their company personnel Compiling reports, create analysis, vertical market research to support account growth and needs Possess the ability to build and manage a broad pipeline of work across multiple regions and responsible for geographies, Program Mangers dedicated to specific owners and teams created to support client build campaigns. Monitor and ensure correct pricing of all projects on a monthly basis. Ability to navigate enterprise organizations' landscape to develop and expand relationships at all levels while driving large-scale, high-visibility, strategic initiatives for customer Be an excellent coordinator of Atkore resources outside their direct view, to ensure all efforts are in sync and offer the greatest benefit to our customers. Collaborate with internal stakeholders (Engineering, Product, Sales, Support, and Execs) to complete customer goals, be the voice of the customer to provide visibility and/or escalations and maintain strong reference ability across customers. Support overall Atkore expectations for growth and profitability, including supporting the team outside of designated account responsibilities to achieve corporate goals and objectives. Support and Promote Atkore's core values and understand and utilize Atkore's business system. What you'll bring: Characteristics consistent with Atkore's core values. Strong management and leadership skills, especially in leading across multiple teams and geographies Experience in lean manufacturing or business system-based company is a plus. Experience in Semiconductor, Datacenter and/or Batteries Vertical markets and existing client relationships is preferable Bachelor's degree in business / engineering or related discipline. Master's degree preferred. Minimum of 7+ years of sales and management experience Demonstrated strong oral and written communication skills. Demonstrated strong Project Management experience and problem-solving skills Demonstrated ability to juggle and complete multiple priorities /projects in a fast-paced environment Professional and positive approach, self-motivated, strong in building relationships, team player, dynamic, creative Must have a desire for achieving excellence in customer satisfaction, process and product quality and reliability. Proficient computers knowledge (Microsoft Office, HRIS, Salesforce, etc) Ability to build relationships at all levels of the organization and with customers Be willing and able to work remotely and travel 70% of the time. Within 3 Months, You'll: Complete your new hire "Immersion" so that you are ready to rock in your new role. Have developed relationships with the key stakeholders for this role. Engage in developing strategic "go-to-market" plan for the Batteries markets. Within 6 Months, You'll: Be actively executing your "go-to-market" plan. Have made contact with major customers and end users. Be achieving sales and demonstrable market penetration. Within 12 Months, You'll: Be driving towards forecasted growth, sales and budget performance. Atkore is a five-time Great Place to Work certified company and a three-time Top Workplaces USA award winner! We're committed to creating an engaged, aligned workforce driven by a collaborative culture. Our team strives for breakthrough results and stays focused on being standout leaders. We consistently live the Atkore mission, strategic priorities, and behaviors consistent with our core values. Join our team and align yourself with an industry leader! As of the date of this posting, a good faith estimate of the current pay for this position is $102,400 - $140,800. Placement in the range depends on several factors including, but not limited to, specific competencies, relevant education, qualifications, certifications, relevant experience, skills, seniority, performance, shift, travel requirements, and business or organizational needs and may change over time. Other compensation may include, but not limited to, overtime, shift differentials, bonuses, commissions, stock, and other incentives. Benefits available include: Medical, vision, and dental insurance Life insurance Short-term and long-term disability insurance 401k Paid Time Off Paid holidays Any leave required under federal, state, or local law Benefits are subject to vesting and eligibility requirements. Applications are being accepted on an ongoing basis.

Founded in 2008, The Fay Group is a diversified real estate services company offering a complete range of home ownership products and services to include mortgage servicing, property renovations, property management, realty, business purpose lending and insurance to homeowners, investors and clients nationwide. We consider the people behind those mortgages, and work hard to give them the best opportunity to stay in their homes by providing solutions to navigate the challenges of homeownership while working toward their long-term financial goals. Join Us on Our Journey We are currently looking for a Senior Data Analyst/Modeler to join our team. The Sr. Data Analyst/Modeler is responsible for building data models to predict customer behavior, creating lead campaigns, analyzing and incorporating sales outcomes into the models, and building summary and detailed reports to measure execution against revenue growth targets. The role will develop predictive models from various internal and external consumer and proprietary data sources from business to business. The role is responsible for identifying the availability of internal and external sources and recommending additional data that can improve the reliability of predictive models. Qualifications Include: Bachelor's degree related field 5+ years of experience in information/data science, data analysis, modeling, in a marketing context Mortgage, Real Estate of Financial Services experience is strongly preferred 3+ years of Marketing Lead Management, including prospect/customer segmentation, journeys, test & learn, funnel conversion and program measurement Prior experience delivering complex leads and prospects to multiple business units strongly preferred Proficiency in data analysis tools and programming languages such as SQL and SAS Proficiency in data visualization tools such as Power BI or similar Experience with CRM platforms such as Hubspot, Total Expert or similar Demonstrated experience developing predictive models and statistical analyses Solid skills and experience in MS Word, Excel and Outlook Strong verbal and written communication skills Strong interpersonal skills with the ability to collaborate effectively with multiple stakeholders across the organization Strong analytical skills Solid decision-making abilities coupled with sound judgment Strong time management skills Ability to prioritize numerous tasks and manage shifting priorities Client focused with strong execution skills and results orientation High-level of precision with attention to detail and consistency Flexible, open to change, ability to learn new things quickly Ability to work in a collaborative environment and provide guidance for working groups Submit Your Resume to Learn More Featured Benefits Medical, Dental and Vision Insurance Company Paid Life Insurance Disability Insurance Pet Insurance 401k Program with Employer Matching 3 Weeks Paid Time Off (PTO) Paid Holidays Wellness Initiatives Employee Assistance Program Eligible for Hybrid Work Schedule with Remote Flex Days Compensation The hiring range for this position is between $120,000.00-$145,000.00 annually This position is eligible for an annual discretionary bonus Fay Cares! The Fay-Constructive Foundation was established to fulfill the philanthropic mission of The Fay Group employees to serve the communities in which they live and work. Our employees make voluntary contributions to the Foundation. Each quarter, their contributions are donated to organizations focused on improving education opportunities, combating poverty, and supporting military service members and first responders. At Fay, we believe that the best ideas come from having a team that is diverse in backgrounds, experiences, and perspectives. We strive to ensure each of our employees feels valued, respected, and included, and is presented with equal opportunities to be successful. Fay is an equal-opportunity workplace. The Fay Group and affiliated companies participate in E-Verify. For more information, go to www.dhs.gov/E-Verify.

Description Finance Data Group within Huntington Finance & Controllership partners with multiple stakeholders for ex: Regulatory Reporting, FP&A and Balance Sheet Management groups supporting key functions such as monthly/quarterly external report filings and internal management reporting and analytics. The Finance Data Analyst Sr role utilizes technical and analytical skills to analyze large data sets, automate processes and collaborate with operational teams to enable analytics and reporting. This position is responsible for evaluating financial, risk and other segment data integrity across multiple systems and platforms. The Senior Financial Analyst will examine data and variances, build out and enhance data management processes, develop KPI metrics and provide analysis that is actionable for optimizing revenue, margin, operating expense, and other key financial and operational metrics for both management and general ledger-based reporting and analytics. The analyst will collaborate to or directly manage one or more analytical applications within the Finance portfolio. Colleagues in this role should have knowledge of finance business processes and the interaction between systems and processes, including strong Excel skills, database query skills, SOX compliance in a publicly traded company, the Record to Report (R2R) cycle, and the management reporting cycle. Partner with OFSAA ecosystem stakeholders (Reg Reporting, FTP, Profitability, Cash Flow Engine) to ensure seamless delivery to end consumers. Partner with technology teams in the development, implementation, testing, documentation and use of data/calculations for OFSAA Reg Reporting, FTP, Profitability, Cash Flow Engine processes Create business, functional requirements and data mapping documents. Configure OFSAA FSDF and AAI modules to meet project requirements. Contribute and support other group projects and initiatives. Analyze large data sets, automate processes within Finance application space Analyze new and existing data, build/enhance data management processes Basic Qualifications Minimum bachelor's degree in finance or information technology 3 + years of previous experience working in the Financial Services Industry 3+ years working experience in OFSAA Data foundation and OFSAA frameworks such as T2Ts, Business Rules 3+ years of hands-on experience with OFSAA projects in the banking sector delivering regulatory reporting and or risk management reporting. Preferred Qualifications Experience with analytical platforms such as OFSAA or other Risk solutions, BI tools (Tableau etc.), Database analytic tools Expert level knowledge of SQL 5+ years' experience in Regulatory/Risk systems Expert in use of Microsoft Office applications (Excel, PowerPoint, and Word). Knowledge of financial instruments and products including an awareness of bank regulation, accounting, valuation techniques and risk measurement. Strong interpersonal and communication skills, both oral and written, with the ability to converse with a wide variety of people across functions / seniority. High energy, self-starter with a flexible and pragmatic attitude and a desire to show continued progress. Good to have: Coding knowledge of other languages such as PL/SQL, Python or R. Knowledge of finance business processes and the interaction between systems and processes Knowledge in SOX compliance in a publicly traded company, the Record to Report (R2R) cycle, and the management reporting cycle Exempt Status: (Yes = not eligible for overtime pay) (No = eligible for overtime pay) Yes Workplace Type: Office Our Approach to Office Workplace Type Certain positions outside our branch network may be eligible for a flexible work arrangement. We're combining the best of both worlds: in-office and work from home. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. Remote roles will also have the opportunity to come together in our offices for moments that matter. Specific work arrangements will be provided by the hiring team. Compensation Range: $77,000 - $154,000 Annual Salary The compensation range represents the low and high end of the base compensation range for this position. Actual compensation will vary and may be above or below the range based on various factors including but not limited to location, experience, and performance. Colleagues in this position are also eligible to participate in an applicable incentive compensation plan. In addition, Huntington provides a variety of benefits to colleagues, including health insurance coverage, wellness program, life and disability insurance, retirement savings plan, paid leave programs, paid holidays and paid time off (PTO). Huntington is an Equal Opportunity Employer. Tobacco-Free Hiring Practice: Visit Huntington's Career Web Site for more details. Note to Agency Recruiters: Huntington will not pay a fee for any placement resulting from the receipt of an unsolicited resume. All unsolicited resumes sent to any Huntington colleagues, directly or indirectly, will be considered Huntington property. Recruiting agencies must have a valid, written and fully executed Master Service Agreement and Statement of Work for consideration.

Req ID: 333381 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Data Architect to join our team in Boise, Idaho (US-ID), United States (US). Overview of Job A Senior Data Management Architect will be part of the Data Management Practice team and provide consultative and advisory services on client end-to-end data processes. The Senior Data Management Architect will participate in client requirements definition, analysis, and the design of logical and physical data models, data analytic assessments, metadata management, and overall data governance. This person designs and engineers scalable, integrated solutions, including data structures (data warehouses, data lakes and data marts), applications, and infrastructure to improve data quality and data flow, and maintain security at or above Health Insurance Portability and Accountability Act (HIPAA) standards. Primary Job Responsibilities Evaluate client need and define the scope and sizing of data management work. Provide data management recommendations from client engagement workshops, existing applications, data sources, documentation, and business need. Responsible for translating business requirements into technology solutions. Use modeling techniques including Data Flow, ER Diagram, Conceptual, Logical, Physical, and Metamodels. Capture technical metadata through data modeling tools Analyze and translate business requirements into conceptual and fully detailed logical and physical data models. Work with solutions architects, subject matter experts, and data stewards and lead data discovery discussions to capture business requirements and map requirements to logical and physical data modeling solutions. Conduct data model reviews with team members. Identify and document business logic & mapping rules needed to transform data before loading it into the target system. Anticipating possible problems and resolving them before they impact users when possible Ensure database designs efficiently support BI and end user requirements. Work with client Analytics and Business Intelligence teams to understand strategic requirements. Minimum Qualifications Have a minimum of five (5) years' experience with design and engineering of data management solutions for government healthcare systems. Have a minimum of five (5) years' experience architecting and modeling an enterprise data presentation layer, semantic layer, distribution layer, dependent data marts and business intelligence reporting solutions against an enterprise-wide data warehouse according to industry standards. Minimum 3 years experience communicating skills while serving as the primary interface between business, enterprise architecture, and technical resources developing information management solutions. A Bachelor's Degree in Information Systems Engineering, Computer Science, or a related field is preferred. Preferred Qualifications Experience working with data architecture within an MMIS or large State Health and Human Services System Strong experience in applying industry best practice for Data standardization, Data cleansing, Data Management, Data Visualization and unified information model across the enterprise spanning multiple systems from operational stores, cloud enabled systems and digital touchpoints. Maintain current knowledge of industry trends and standards (DMBoK). Fluent in both normalized and dimensional model disciplines and techniques. Hands experience with Oracle SQL, PL/SQL, R, Python or Cypher. Skills to assess and analyze existing database design solutions to ensure optimal designs for query performance. Knowledge of key Business Intelligence and Data Analytics tools, such as Tableau, Power BI, Alteryx and/or others An ability to simultaneously manage and lead data architecture deliverables across multiple swim lanes. Exposure to Databricks Spark, Delta Technologies, Informatica, SSIS, Talend, ETL or other industry leading tools. Deep understanding of Azure, AWS, Snowflake, Data Bricks and/or other cloud technologies. Experience managing and working with virtual teams. Where required by law, NTT DATA provides a reasonable range of compensation for specific roles. The starting pay range for this remote role is $120,556- $145,000. This range reflects the minimum and maximum target compensation for the position across all US locations. Actual compensation will depend on a number of factors, including the candidate's actual work location, relevant experience, technical skills, and other qualifications. This position may also be eligible for incentive compensation based on individual and/or company performance. This position is eligible for company benefits including medical, dental, and vision insurance with an employer contribution, flexible spending or health savings account, life and AD&D insurance, short and long term disability coverage, paid time off, employee assistance, participation in a 401k program with company match, and additional voluntary or legally-required benefits. About NTT DATA NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us . This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.

Who are we? Equinix is the world's digital infrastructure company, operating over 260 data centers across the globe. Digital leaders harness Equinix's trusted platform to bring together and interconnect foundational infrastructure at software speed. Equinix enables organizations to access all the right places, partners and possibilities to scale with agility, speed the launch of digital services, deliver world-class experiences and multiply their value, while supporting their sustainability goals. Joining our operations team means that you will be at the forefront of all we do, maintaining critical facilities infrastructure as part of a close-knit team delivering best-in-class service to our data center customers. We embrace diversity in thought and contribution and are committed to providing an equitable work environment that is foundational to our core values as a company and is vital to our success. Job Summary Installs, tests, modifies and terminates fiber/coax/Cat 5 within Data Center; and installs servers, drives, switches, routers, ladder racks, cages and cabinets. Works with customer equipment, determines work priorities/manage order commitments; conducts advanced testing; installs custom ladder racking. Performs custom installations; performs advanced troubleshooting/advanced fiber terminations; designs/leads cage builds; troubleshoots security systems and customer equipment. Responsibilities Runs fiber and coax cross connects, and follows proper termination techniques per company established processes, procedures and policies Installs ladder racks and fiber raceways Builds/Installs cages Escalates SRs that require additional information Conducts carrier circuit testing Performs intra-cage and infrastructure installations Installs/Tests/Modifies Cross Connects and ensures proper dressing of the following: coax cross connects (repeater), fiber cross connects (Unicam termination), twisted pair copper cross connects, intra-building cross connects, 66 block/110 block terminations Installs Cabinets (Crenlo, APW, and relay racks) and ensures proper grounding Installs cable management/support systems to include vertical wire managers, horizontal wire managers, and patch panels Racks and stacks customer equipment Maintains detailed written records of all work activity Determines work priorities from the Oracle queue and ensures adherence to all commit times Installs and tests advanced cross connect circuits (switched, multiplexed, etc. Installs and test Data Center Link cross connects (T1, DS3, OC3-48, Eth, GigE, 10Gig) Conducts carrier circuit maintenance Installs intra-cage fiber tray, ladder rack, customer equipment and cabinets. Infrastructure installs to include the following: Whalebone cable management, Public Fiber tray systems, Carrier ladder rack, AC/DC power trays, Security trays, Cash Mesh Troubleshoots switched / multiplexed / media converted circuits; escalates to, and works with Networking Group, as needed Installs circuits requiring advanced fiber terminations Designs and leads cage / infrastructure modification projects Leads installation of security systems Works with customers to troubleshoot issues May perform other duties as assigned Qualifications Knowledge of cable limitations to daily work (distance limitations, etc.) Understands Kaba-Mas lock operation Able to read installation drawings (Visio drawings/spreadsheets) General knowledge of safe working practices (e.g., familiar with proper tool safety, eye protection, ladder safety, etc.) Basic understanding of Unix / Windows booting process and commands Basic understanding of Cisco routing theory and commands Troubleshoots switched / multiplexed / Media converted cross connects and intra-building cross connects Experienced with troubleshooting all circuits with carriers Advanced equipment knowledge (Digital Lightwave, Tberd, Fusion splicing) Experienced with advanced fiber terminations (Opti-jack, puck and polish, Fuselight2) Understands System Command Language (Unix, Cisco, Windows) Advanced installation and troubleshooting with the following: Cage modification, Biometric reader installation, Camera installation, Kaba-Mas lock troubleshooting and maintenance Able to lift heavy equipment/items Able to perform all essential job functions, including walking, standing, bending, stooping, climbing, lifting and manual dexterity, with or without reasonable accommodation Able to work days/nights/weekends/holidays, if needed and/or required High School Diploma or equivalent 2 - 4 years of related work experience One or more of the following certifications preferred: Fluke CCTT Copper, Fluke CCTT Fiber, JDSU BERT Testing, Digital Lightwave Testing. BICSI Level II Copper, BICSI Level II Fiber, FOA - CFOT, Comp-TIA A, Comp TIA Network+ Proficient in MS Office The United States targeted pay range for this position in the following location is / locations are: California (Non-SF/Bay Area), Connecticut, Maryland, New York, New Jersey, Washington state: $58,000 to $88,000 per year Our pay ranges reflect the minimum and maximum target for new hire pay for the full-time position determined by role, level, and location. Individual pay is based on additional factors including job-related skills, experience, and relevant education and/or training. This position may be offered in other locations. Your recruiter can share more about the specific pay range for your preferred location during the hiring process. The targeted pay range listed reflects the base pay only and does not include bonus, equity, or benefits. Employees are eligible for bonus, and equity may be offered depending on the position. As an employee, you become important to Equinix's success. Details about our company benefits can be found at the following link: USA Benefits eBook Equinix is committed to ensuring that our employment process is open to all individuals, including those with a disability. If you are a qualified candidate and need assistance or an accommodation, please let us know by completing this form. Equinix is an Equal Employment Opportunity and, in the U.S., an Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to unlawful consideration of race, color, religion, creed, national or ethnic origin, ancestry, place of birth, citizenship, sex, pregnancy / childbirth or related medical conditions, sexual orientation, gender identity or expression, marital or domestic partnership status, age, veteran or military status, physical or mental disability, medical condition, genetic information, political / organizational affiliation, status as a victim or family member of a victim of crime or abuse, or any other status protected by applicable law.

Industry/Sector EUR X-Sector Specialism Data, Analytics & AI Management Level Manager Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member's unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Analyse and identify the linkages and interactions between the component parts of an entire system. Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion. Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables. Develop skills outside your comfort zone, and encourage others to do the same. Effectively mentor others. Use the review of work as an opportunity to deepen the expertise of team members. Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. Minimum Degree Required Bachelor's Degree Required Field(s) of Study Management Information Systems, Computer and Information Science, Systems Engineering,Electrical Engineering,Chemical Engineering,Industrial Engineering,Mathematics,Statistics,Mathematical Statistics Minimum Year(s) of Experience 5 year(s) Preferred Qualifications Demonstrates abilities and/or success in one or many of the following areas: Design and implement comprehensive data architecture strategies that meet current and future business needs; Develop and document data models, data flow diagrams, and data architecture guidelines; Ensure data architecture is compliant with data governance and data security policies; Collaborate with business stakeholders to understand their data requirements and translate them into technical solutions; Evaluate and recommend new data technologies and tools to enhance data architecture; Evaluate data and technology architecture options and build case for change across architecture principles like Security, Reliability, Scalability, Maintainability, Automation and Cost management; Lead and drive data strategy engagements providing thought leadership to client and internal tech stakeholders and leadership; Develop leading practices and perspectives for Data Engineering, Data Science, and Data Governance and Data Management Lead the implementation of cloud-based solutions, ensuring they meet the specified requirements and best practices across batch, real-time, structured, semi-structured and unstructured datasets; Architect, design, build and optimize ETL/ELT pipelines for data ingestion, processing, and storage; Develop and deploy scalable data storage solutions using AWS, Azure and GCP services such as S3, Redshift, RDS, DynamoDB, Azure Data Lake Storage, Azure Cosmos DB, Azure SQL DB, GCP Cloud Storage etc.; Architect & Implement data integration solutions using AWS Glue, AWS Lambda, Azure Data Factory, Azure Functions, GCP Functions, GCP Dataproc, Dataflow and other relevant services; Architect, Design and implement data warehouses and data lakes, ensuring data is organized and accessible; Develop frameworks for monitoring and troubleshooting data pipelines, data warehouses and workflows to ensure data quality, system reliability, performance and cost management; Architect and oversee implementation of IAM roles and policies to manage access and permissions within AWS, Azure, GCP; Develop automation strategies leveraging AWS CloudFormation, Azure Resource Manager templates, Terraform for infrastructure as code (IaC) deployments; Architect and implement services using AWS, Azure and GCP DevOps services to build and deploy DevOps pipelines; Develop data security best practices using AWS, Azure, GCP, Snowflake or Databricks; Optimize Cloud resources for cost, performance, and scalability; Strong proficiency in SQL and experience with relational databases; Proficient in programming languages such as Python, Java, or Scala; Familiarity with big data technologies like Hadoop, Spark, or Kafka is a plus; Experience with machine learning and data science workflows is a plus; Knowledge of data governance and data security best practices; Strong analytical, problem-solving, and communication skill; and, Ability to work independently and as part of a team in a fast-paced environment. Demonstrates thought leader-level abilities with, and/or a proven record of success directing efforts in the following areas: Applying modern, cloud-based technology skills, ability to research emerging trends, analyst publications, and adoption of modern technologies in solution architectures; Collaborating and contributing as a team member: understanding personal and team roles, contributing to a positive working environment by building proven relationships with team members, proactively seeking guidance, clarification and feedback; Prioritizing and handling multiple tasks, researching and analyzing pertinent client, industry and technical matters, utilizing problem-solving skills, and communicating effectively in written and verbal formats to various audiences (including various levels of management and external clients) in a professional business environment; and, Research emerging trends, analyzing publications, and adopting modern technologies in solution architectures; Coaching and collaborating with members on the Team who assist with this work, including providing coaching, feedback, and guidance on work performance. Travel Requirements Up to 80% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-work PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy . As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines The salary range for this position is: $99,000 - $232,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

About Annalect Annalect is the Data & Technology arm of Omnicom Media Group Annalect's 4,000+ innovators leverage data and technology to help clients across Omnicom build relationships that matter - whether that means fostering consumers' trust in brands, building new experiences, or delivering advanced analytics where it's most needed. Annalect is the driving force behind Omni, Omnicom's unique open operating system, which works hand-in-hand with clients' and partners' data and tools, to orchestrate better marketing outcomes. Annalect's unique approach to data and technology - one that relies on transparency, neutrality, and interoperability - allows us to deliver purpose-built and scalable solutions that make data actionable. Our advanced teams of product leaders, data scientists, consultants, and engineers enable us to meet the business goals of our internal and external clients. Team Overview The Annalect Engineering team is an engaged and innovative group of technologists that includes backend, frontend, full-stack, and data engineers. It is comprised of team members who are highly collaborative and committed to a culture of work/life balance and continual learning and development. Position Overview Annalect is currently seeking an associate director of data engineering to join our technology team remotely. In this role, you will be responsible for extending our data mesh capabilities to ingest client media data and to to deliver this data to our clients at large scale. You will lead the design and implementation of strategies to seamlessly integrate data from our mesh into diverse client environments. You will collaborate with interdisciplinary teams to understand client needs and develop creative solutions leveraging our core data mesh architecture. You will represent the data engineering team in client engagements, explaining how our data mesh works and how it can address their specific challenges. You will be accountable for the scaled enterprise delivery and governance of data products for the clients and stakeholders. Key Responsibilities Extend data supply from our data mesh into custom client environments through modern data stack components. Work with clients on architecture and creative solutions to do cross-environment secure data shares and data worksteams. Represent data engineering for various custom requests and client interactions. Explain how data mesh works and its benefits to clients and internal stakeholders. Work with various stakeholder to get the requirements for desired data products and then guide the work of data engineers to create the custom data products. Create supporting documentation to scale these processes across multiple clients. Oversee the development of various data sharing mechanisms and processes. Guide development of data sharing layers (APIs, workbenches, etc.) for client access. Ensure the ingest of client data, processes that govern ingest and systems that make accessible large amounts of data of our clients. Work with Data QA to ensure data accuracy and consistency. Work with security teams to ensure correct data usage. Lead the documentation of data governance standsards. Ensure we have inituitive documentations for staekeholders and clients to request data and for the engineerting to supply this data. Required Skills And Qualifications 7+ years of solid coding experience Strong expertise with working with data products at scale and large enterprise datasets Familiarity with modern data stack: Data transformation tools like (dbt, Databricks), data ingestion (Fivetran, Airbyte) and data sharing (Snowflake, Starburst) Familiarity with creating scalable data sharing solutions through data products (Starburst, DBT) and data catalogues (Data.world, Secoda, Alation) Familiarity with working with data and databases (SQL, MySQL, PostgreSQL, Amazon Aurora, Redis, Amazon Redshift, Google BigQuery) Experience with data storage strategies(S3, Partitioning, Efficient Quering) Strategic understanding of contemporary data architectures (Data mesh, data fabric). Ability to write high-quality documentation and draw architecture diagrams of the software and make client-facing presentations to explain complex data engineering in accessible terms Perks of working at Annalect Culture! We have an incredibly fun, collaborative environment that encourages engagement and work/life balance Generous PTO that includes vacation days, personal days, a fantastic Summer Friday program and extended time off around the holiday season. As part of Omnicom, we have the backing and resources of a global billion-dollar company, but also have the flexibility and pace of a "startup" - we move fast, break things, and innovate. #LI-CC2 This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on relevant experience, other job-related qualifications/skills, and geographic location (to account for comparative cost of living). The Company reserves the right to modify this pay range at any time. For this role, benefits include: health insurance, vision insurance, dental insurance, 401(k), Healthcare Flexible Spending Account, Dependent Care Flexible Spending Account, vacation days, sick days, personal days, paid parental leave, paid medical leave, and STD/LTD insurance benefits. Compensation Range $140,000-$200,000 USD This role is hybrid, requiring three (3) days per week in the office. The remaining two (2) days may be worked remotely. Specific in-office days will be discussed during the interview process, with flexibility to align with team needs. Please note that the number or required in-office days may be adjusted over time, potentially increasing the number of required in-office days based on business needs. Review Our Recruitment Privacy Notice