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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

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Sales Job Details About Salesforce We're Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too - driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good - you've come to the right place. Location: This role leads an international team and can be based in any major hub in AMER or EMEA. It does not require relocation. Summary: Salesforce seeks an inspiring and transformative SVP of Sales to lead Data Cloud sales in AMER and EMEA. This impactful role requires a visionary leader with the ability to shape the direction of Data Cloud, Salesforce's data platform. The ideal candidate will bring deep expertise in data platforms, data analytics, and cloud technologies, combined with a proven track record of driving revenue growth and building high-performing, resilient sales organizations. As SVP of Data Cloud - AMER and EMEA, you will be at the forefront of revolutionizing customer data platforms. Leading a distinct specialist sales team, you will empower them with the tools and expertise to maximize the impact of Data Cloud, while fostering cross-functional collaboration. Your leadership will drive a sales organization known for its exceptional growth, enduring success, and deep influence within the Salesforce ecosystem. By championing our core values of trust, customer success, innovation, equality, and sustainability, you will set a new standard for excellence and inspire others to follow. We seek a dynamic leader with advanced technical sales expertise and a deep understanding of data and cloud technologies. In this role, you will partner closely with prospective clients to address their most pressing challenges and showcase how Data Cloud can deliver customized solutions to meet their most critical business needs. Key Responsibilities: Data Cloud Leadership: Define and lead distinct, compelling visions for Data Cloud. As the leader of this critical team, you will drive exceptional performance across a specialized sales team while fostering cross-functional collaboration to maximize the impact within the broader Salesforce organization. Cross-Functional Collaboration: Partner with various Salesforce functions (Sales, Account Management, Marketing, Finance, Employee Success, and Recruiting) to maximize resources for Data Cloud. Leverage feedback from customers and internal teams to influence product development and refine the strategic roadmap. Growth Strategy: Jointly own the long-term growth strategy for Data Cloud. Identify new opportunities within industry verticals, expand business channels, and cultivate strategic partnerships to drive business growth and expansion. Team Leadership & Talent Development: Build and lead a high-performing team for Data Cloud, driving recruitment, development, coaching, and performance management. Foster a diverse and inclusive culture that aligns with Salesforce's core values of trust, customer success, innovation, equality, and sustainability, while cultivating the next generation of Salesforce talent. Required Qualifications: Expertise in data platforms, cloud technologies, and data analytics, with a strong ability to communicate complex technical solutions to both technical and non-technical audiences. Proven experience in leading third or fourth-line strategic sales teams at national or global levels, with a track record of exceeding revenue targets. Demonstrated success in recruiting, developing, and retaining high-performing teams. Ability to drive organizational transformation, foster cultural change, and implement continuous improvements in high-growth environments. Deep experience in managing relationships within highly matrixed organizations and collaborating across multiple business units. Strong operational and analytical skills, with a passion for data-driven decision-making. Degree or equivalent relevant experience required. Experience will be evaluated based on the core competencies for the role (e.g. extracurricular leadership roles, military experience, volunteer roles, work experience, etc.). Leadership Characteristics: This is a unique opportunity for a visionary leader to shape the future of customer engagement at Salesforce, leading a specialist team that is at the forefront of data platform innovation and redefining how companies connect with their customers. A blend of technical expertise and sales acumen, capable of clearly articulating complex data platform solutions to diverse audiences. Business-savvy, with a focus on translating technical solutions into measurable business outcomes. Highly curious, self-aware, and low-ego, with a creative and agile approach to problem-solving. Strong customer success orientation, ensuring post-sale satisfaction and long-term engagement. Deep technical proficiency, with a thorough understanding of how Data Cloud creates value for stakeholders. Exceptional relationship-building skills, fostering long-lasting client connections. Agile, resourceful, and results-driven, with an ability to adapt to rapidly changing environments. Accommodations If you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form. Posting Statement Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that's inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications - without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education. Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. For New York-based roles, the base salary hiring range for this position is $296,000 to $397,000. For California-based roles, the base salary hiring range for this position is $296,000 to $397,000. For Illinois based roles, the base salary hiring range for this position is $296,000 to $397,000. For Massachusetts based roles, the base salary hiring range for this position is $296,000 to $397,000. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, benefits. More details about our company benefits can be found at the following link: https://www.salesforcebenefits.com .

Please review the job details below. Maxar is seeking a Geospatial Data Scientist to join our team in Tampa, FL! If you enjoy working collaboratively to solve complex geospatial problems using advanced geoprocessing, this would be an excellent opportunity for you to explore. This team performs geographic information systems (GIS) analyses on various types of structured and unstructured data, leveraging your knowledge and understanding of spatial and temporal analysis as well as your ability to refine workflows through modeling and scripting. Most valuable is your ability to create user applications and interfaces using programming while possessing a background or understanding of geographic information systems. As a seasoned, experienced professional, with deep knowledge of your area of specialization, you will resolve a wide range of issues in creative ways. This critical role works on problems of diverse scope and offers engaging opportunities to directly impact high-level decision making. You will fill an important role on a team that values collaboration, a gritty can-do attitude and continual learning. An ideal candidate will love to practice world-class data science disciplines and bring a quality first mindset to work every day. We embrace a culture where good ideas can come from anywhere and we focus on succeeding as a team. Maxar provides an opportunity to work in a vibrant, mature Agile environment. We embrace transparency and relish feedback loops that drive continuous improvement. At Maxar, we realize that "Space is Cool". From manufacturing and flying satellites, to producing image products that can be seen in everyday apps like Google Maps to contributing earth imagery to stop slavery in the fishing industry. We don't create typical software and we aren't solving the same old problems that a hundred other companies are solving. We make a difference in the world, and we always seek to harness our capabilities For A Better World. Opportunities and growth are abundant at Maxar and we'd love to have you join our team. We provide amazing resources to support learning, and we set aside time for dedicated professional development, conference attendance, corporate partner and industry training, peer group collaboration, hackathons, as well as paid certifications and education reimbursement. We will work with you to define a career path that takes you where you want to go. What you will do with your teammates: Provide integrated geospatially based spatial and temporal analysis to discover and characterize relationships, trends, and infer conclusions to enable pattern analysis. Maintain spatial data layers to support data integration. Assist in the integration of data mining, visualization, nodal analysis, and temporal tools with the ArcGIS Pro tools and the integration of NGA products. Design, create, and execute advanced computational and statistical modeling applications for geospatial analysis, display, and pattern recognition. Refine and export complex algorithmic data results into user-friendly analytical products for simplified geospatial understanding. Simplify complex workflows via programming and create tools that drive efficiency. Collaborate with motivated and highly skilled teammates. To us, this means being empathetic, being a good listener, sharing your knowledge and co-creating an environment where great ideas can rise from anyone in the organization. Minimum Requirements: US citizenship with an active or current TS/SCI clearance. BS in a technical discipline (Computer Science or related preferred) or 4 additional years of work experience. Certificate of GIS or ability to obtain within 6 months of hire. Proficient in using R and RStudio for statistical analysis, data visualization, and data manipulation. 2+ years experience as an ORSA, data scientist, or similar field. A Master's degree can count for 2 year of experience. 2+ years of experience with developing, manipulating, and maintaining relational databases. Experience with: Python and other programming languages to automate geospatial processing tasks ArcGIS Pro ArcGIS Online / ArcGIS Enterprise Creating geospatial visualizations on analytic products Creating info graphics for visualization of geospatial data Willing to work on-site in Tampa, FL (4 days in office, 1 day remote). These skills would be amazing: Experience with Python geospatial libraries (e.g., ArcPy, GDAL, GeoPandas, etc.) Strong verbal, written, and organizational skills Self-starter with the ability to stay organized while balancing multiple priorities ESRI Certifications Strong understanding of mathematics and statistical modeling Demonstrated ability to drive cross team collaboration. #cjpost #LI-CJ1 In support of pay transparency at Maxar, we disclose salary ranges on all U.S. job postings. The successful candidate's starting pay will fall within the salary range provided below and is determined based on job-related factors, including, but not limited to, the experience, qualifications, knowledge, skills, geographic work location, and market conditions. Candidates with the minimum necessary experience, qualifications, knowledge, and skillsets for the position should not expect to receive the upper end of the pay range. The base pay for this position ranges from our lowest geographic market up to our highest geographic market within California, Colorado, District of Columbia, Hawaii, Illinois, Maryland, Minnesota, New Jersey, New York, and Washington: $71,000.00 - $152,000.00 annually. We offer a comprehensive package of benefits including paid time off, health and welfare insurance, and 401(k) to eligible employees. You can find more information on our benefits at: https://www.maxar.com/careers/benefits The application window is three days from the date the job is posted and will remain posted until a qualified candidate has been identified for hire. If the job is reposted regardless of reason, it will remain posted three days from the date the job is reposted and will remain reposted until a qualified candidate has been identified for hire. The date of posting can be found on Maxar's Career page at the top of each job posting. To apply, submit your application via Maxar's Career page. Maxar Technologies values diversity in the workplace and is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law.

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Senior Data Product Manager- Technical- Finance Modernization Mastercard Overview Mastercard is seeking talented professionals to join our team and contribute to our mission of connecting and powering an inclusive, digital economy that benefits everyone, everywhere. Our ideal candidate thrives in a collaborative environment, embraces challenges, and is committed to achieving excellence. If you are ready to advance your career and be part of a forward-thinking company that values creativity, dedication, and professional growth, we invite you to explore this exciting opportunity with Mastercard. Role Overview Mastercard is on a journey to modernize and advance our Finance Technology landscape. As a Senior Data Product Manager- Technical, you will leverage your background in data product management to align requirements with business objectives and enhance data-driven decision-making. You will work closely with stakeholders across the Finance Data framework lifecycle, from conceptualization to launch. This role requires a blend of technical expertise, strategic vision, and practical execution to drive enterprise-wide change in finance technology. This is an exciting opportunity to shape the future of finance technology and lead an impactful modernization journey. If you are passionate about driving change and delivering value in a fast-paced environment, we encourage you to apply. Responsibilities As the Senior Data Product Manager- Technical, you will be responsible for the following: Collaborate closely with technology and business stakeholders to identify, prioritize, and refine data product requirements. Translate business needs into technical specifications and ensure alignment across teams. Support the development and execution of the roadmap for data products within finance technology modernization, aligning with business goals and driving measurable business outcomes. Decompose business requirements into user stories, feed engineering a well-groomed backlog of user stories, prioritize the backlog, and define the acceptance criteria. Use customer feedback, business input, research, metrics, and industry analysis to inform requirements and continuously optimize the backlog. Ensure alignment with user experience design, monitor feature development, and adjust as needed during implementation. Recommend trade-off decisions on data product features/depth of features/backlog items. Clear communication of technical requirements to the development team and development concerns to business stakeholders. Be able to speak the language of software development and product management. Owns and manages product documentation ensuring features and associated documentation are clear and easily consumable by other engineering teams. Identifies issues that will keep features from delivering on time and/or with the desired requirements and works with internal teams and customer service to identify, classify, and prioritize feature-level customer issues. Skills and Experiences Experience in data product management within the Tech, SaaS or FinServ industry. Demonstrated ability to understand and empathize with customer needs, backed by a track record of developing data frameworks and/or products. Experience defining and organizing customer objectives, goals, strategies and metrics. Experience converting customer use cases into actionable and testable backlogs, and owning prioritization. Strong ability to decompose business requirements into user stories, feed engineering a well-groomed backlog user story, prioritize the backlog, and define the acceptance criteria. Understands the technologies, architecture design and features that support customer jobs to be done and can contribute to technical discussions, decisions and strategy related to a product. Experience in agile delivery methodologies. Strong technical knowledge and capability. High degree of initiative and self-motivation with a willingness and ability to learn and take on challenging opportunities. Strong communication skills, both verbal and written, with strong relationship, collaborative and organization skills. Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact reasonable_accommodation@mastercard.com and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly. Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard's security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines. In line with Mastercard's total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary based on location, experience and other qualifications for the role and may be eligible for an annual bonus or commissions depending on the role. Mastercard benefits for full time (and certain part time) employees generally include: insurance (including medical, prescription drug, dental, vision, disability, life insurance), flexible spending account and health savings account, paid leaves (including 16 weeks new parent leave, up to 20 paid days bereavement leave), 10 annual paid sick days, 10 or more annual paid vacation days based on level, 5 personal days, 10 annual paid U.S. observed holidays, 401k with a best-in-class company match, deferred compensation for eligible roles, fitness reimbursement or on-site fitness facilities, eligibility for tuition reimbursement, gender-inclusive benefits and many more. Pay Ranges O'Fallon, Missouri: $99,000 - $158,000 USD Miami, Florida: $99,000 - $158,000 USD New York City, New York: $119,000 - $190,000 USD

Industry/Sector Insurance Specialism Data, Analytics & AI Management Level Manager Job Description & Summary A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. You'll focus on aligning client data strategies to their business strategy. You will assist clients in choosing a platform, defining their data needs and migrating them to a modern cloud data environment using cloud providers such as Azure, Google Cloud Platform, Amazon Web Services, Snowflake, Databricks or Teradata. To really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be a purpose-led and values-driven leader at every level. To help us achieve this we have the PwC Professional; our global leadership development framework. It gives us a single set of expectations across our lines, geographies and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future. As a Manager, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to: Develop new skills outside of comfort zone. Act to resolve issues which prevent the team working effectively. Coach others, recognise their strengths, and encourage them to take ownership of their personal development. Analyse complex ideas or proposals and build a range of meaningful recommendations. Use multiple sources of information including broader stakeholder views to develop solutions and recommendations. Address sub-standard work or work that does not meet firm's/client's expectations. Use data and insights to inform conclusions and support decision-making. Develop a point of view on key global trends, and how they impact clients. Manage a variety of viewpoints to build consensus and create positive outcomes for all parties. Simplify complex messages, highlighting and summarising key points. Uphold the firm's code of ethics and business conduct. Job Requirements and Preferences: Basic Qualifications: Minimum Degree Required: Bachelor Degree Minimum Years of Experience: 7 year(s) Preferred Qualifications: Certification(s) Preferred: Certification in one of the following cloud platforms- AWS/Azure/GCP/Snowflake Preferred Knowledge/Skills: Demonstrates extensive abilities and/or success in one or more of the following areas: Possessing understanding and experience with modern cloud data architectures and engineering for one or more of the following cloud providers- AWS, Azure, GCP; Being highly organized; Proven track record of implementing cloud data architecture and data integration patterns (AWS Glue, Azure Data Factory, Event Hub, Databricks, etc.), storage and processing (Redshift, Azure Synapse, BigQuery, Snowflake); Infrastructure as code (CloudFormation, Terraform); Possessing extensive knowledge of Data Warehousing concepts (normalization, OLAP, OLTP, Vault data model, graphs, star & snowflake schemas); Possessing work experience in Big data engineering (Hadoop, Spark, Scala, Kafka) and ETL/ELT pipeline development (tools: IICS/AWS Glue/SAP BODS/Matillion/DBT/Abinitio/SSIS/SnapLogic); preferable in P&C Insurance data warehouse; Possessing proven knowledge in SQL, report generation using visualization tools such as Tableau/Power BI/Cognos, programming using Python/Spark; Improving advanced analytics solutions, AI/ML models, and operationalizing based on ML Ops process; Having end-to-end knowledge of implementing enterprise data solutions such as Master Data Management, Data Governance and Enterprise Data Warehouse; Architecting and driving delivery of high availability, scalable, process and storage intensive solutions architectures to data integration/migration, analytics and insights, AI and ML; Understanding and familiarity of one or more is a big plus- CI/CD, cloud devops, containers (Kubernetes/Docker, etc.); and, Possessing P&C Insurance industry experience, including proven understanding of insurance data, underlying KPIs and how they are used. Demonstrates extensive abilities with, and/or a proven record of success directing efforts in the following areas: Demonstrating prior Big 4 or proven consulting experience in strategy through execution projects; Managing and streamlining data warehouse team and lead in creation of cloud data warehouse plans, roadmap, success metrics, and assessment of client's enterprise (on-premise and on-cloud) data systems; Working closely with business stakeholders to capture and document business; objectives/requirements, ability to translate business and technology objectives to next generation cloud, digital and technology solution architectures; Coordinating and providing guidance to technology teams and architects to define and develop technology solutions; Demonstrating critical thinking and problem-solving methods and skills; Supervising teams to create an atmosphere of trust; Seeking diverse views to encourage improvement and innovation; Coaching staff including timely meaningful written and verbal feedback; Building, maintaining and utilizing networks of client relationships and community involvement; Using appropriate facilitation techniques to gain agreement or move others to action; Managing resource requirements, project workflow, budgets, billing and collections; and, Preparing and/or coordinating complex written and verbal materials. 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

FleetPride is the largest after-market distributor of heavy-duty truck and trailer parts in the U.S. with some of the best and brightest people in the business! Partner with the best in the heavy-duty industry and apply today! We are seeking a highly motivated and detail-oriented Sr. Manager, Product Owner - Master Data Management (MDM) to help drive the development and execution of our enterprise master data strategy. Reporting to the Senior Director of MDM, this role will lead the planning, prioritization, and delivery of MDM capabilities that enable trusted, governed, and high-quality data across the organization. This role is a critical part of our enterprise data transformation and will work cross-functionally with business leaders, digital teams, IT, and solution architects to implement scalable and sustainable master data solutions. Responsibilities The Role's responsibilities include, but are not limited to: Product Ownership & Delivery Own and manage the MDM product backlog; define epics, user stories, and acceptance criteria across domains (e.g., customer, supplier, product, reference). Prioritize features and enhancements based on business value, technical feasibility, and strategic alignment. Collaborate with MDM development teams, integration partners, and QA to ensure timely and high-quality product delivery. Stakeholder Collaboration Work closely with data stewards, business domain leads, and application owners to gather requirements and translate them into actionable MDM capabilities. Serve as the voice of the business in Agile ceremonies and sprint planning sessions. Act as a liaison between technical teams and business stakeholders to ensure alignment and transparency. MDM Strategy Execution Support the Senior Director of MDM in implementing roadmap initiatives and supporting enterprise data governance programs. Help define and enforce data standards, data quality rules, and domain-specific business rules. Contribute to the rollout of data stewardship workflows and change management practices. Governance & Data Quality Partner with IT and Compliance teams to enforce policies and processes around data quality, ownership, and lineage. Monitor and report on key data quality and vitality metrics, including completeness, consistency, accuracy, and usage of master data; use insights to prioritize backlog items and drive continuous improvement initiatives. Continuous Improvement Identify opportunities to streamline MDM processes and improve user experience. Stay current with industry best practices and emerging MDM technologies to inform ongoing product evolution. Skills 6-8 years of experience as a Product Owner, Business Analyst, or similar role in enterprise data, MDM, or digital product delivery. Hands-on experience working with MDM platforms (e.g., Informatica, Reltio, Stibo, Semarchy, SAP MDG). Strong understanding of data management disciplines, including data governance, stewardship, quality, and metadata. Proven ability to write user stories and manage Agile backlogs. Excellent communication, facilitation, and stakeholder management skills. Attributes We believe the most productive teams are those that: Do work that interests, challenges, and professionally develops them Do things that contribute to the success of the company and team Like and respect the team members they work alongside every day As a result, we hire for Culture First, and are looking for candidates who possess the following: Action oriented, self-motivated, self-starter with a solution oriented mindset Curious, innovative, and creative Glass half full optimism Natural problem solver, not afraid to ask questions and adept at learning new things rapidly Humble Leadership / Team Oriented Operates from the position of "do what's best for the business and team" Qualifications Bachelor's degree in Information Systems, Business Administration, Computer Science, or related field. Advanced degree or industry certification is a plus. This job description in no way states or implies that these are the only duties to be performed by this employee. He or she will be required to follow any other instructions and to perform any other duties requested by his or her supervisor. FleetPride is the leader in the industry comprised of retail, service, distribution and wholesale divisions. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Clio is more than just a tech company-we are a global leader that is transforming the legal experience for all by bettering the lives of legal professionals while increasing access to justice. Summary: What your team does: The Marketing Analytics and Insights team is responsible for marketing attribution and performance measurement. This team leads marketing efficiency analysis that enables channel and budget optimization. The Marketing organization relies on this team for insights on the full marketing funnel. As a Marketing Data Analyst, you will play a pivotal role in analyzing marketing performance, developing actionable insights, and supporting data-driven decision-making across the marketing organization. You will collaborate closely with marketing, product, and web teams to drive data-informed decisions that improve the customer journey and maximize marketing ROI. What you'll work on: Website Analytics: Leading in-depth set up of website events, analysis of website traffic, user behavior, and conversion funnels using tools like Google Analytics, Segment, Amplitude similar platforms. Marketing Performance Analysis: Analyzing marketing program performance metrics to identify areas for optimization and recommend testing methodologies to maximize program effectiveness. Attribution Modeling: Assisting in developing and refining marketing attribution models to accurately measure the impact of marketing activities across various channels. Data Reporting & Dashboards: Supporting the creation and maintenance of automated dashboards and reporting mechanisms to track real-time marketing performance. Collaboration & Insights: Working closely with marketing subteams to assess data needs and provide actionable insights that inform marketing strategies and decisions. Process Improvement: Contributing to the development and implementation of data collection processes and automation solutions to streamline analysis and reporting workflows Automation and AI integration What you bring: 3-5 years of experience in marketing analytics preferably in Saas, with a significant focus on website analytics and multi-touch attribution. Technical Skills: Proficiency in analytics tools such as Google Analytics, Looker, Salesforce, and other marketing technology platforms. Analytical Expertise: Strong ability to analyze complex data sets, identify trends, and translate findings into actionable insights. Communication: Excellent written and verbal communication skills, with the ability to present data insights to stakeholders at all levels. Collaboration: Demonstrated ability to work effectively in cross-functional teams and manage multiple priorities in a fast-paced environment. What you will find here: Compensation is one of the main components of Clio's Total Rewards Program. We have developed a series of programs and processes to ensure we are creating fair and competitive pay practices that form the foundation of our human and high-performing culture. Some highlights of our Total Rewards program include: Competitive, equitable salary with top-tier health benefits, dental, and vision insurance Hybrid work environment, with expectation for local Clions (Vancouver, Calgary, Toronto, and Dublin) to be in office minimum 2 days per week on our Anchor Days. Flexible time off policy, with an encouraged 20 days off per year. $2000 annual counseling benefit RRSP matching and RESP contribution Clioversary recognition program with special acknowledgement at 3, 5, 7, and 10 years The full salary range* for this role is $80,100 to $94,200 to $108,300 CAD.Please note salary bands may differ based on location and local currency. Additionally, benefit offerings may differ depending on the employee's location. We aim to hire all candidates between the minimum and the midpoint of the full salary range. We reserve the midpoint to the maximum of the salary band for internal employees who demonstrate sustained high performance and impact at Clio. The final offer amount for this role will be dependent on individual experience and skillset of the candidate. Please note there are a separate set of salary bands for other regions based on local currency. Diversity, Inclusion, Belonging and Equity (DIBE) & Accessibility Our team shows up as their authentic selves, and are united by our mission. We are dedicated to diversity, equity and inclusion. We pride ourselves in building and fostering an environment where our teams feel included, valued, and enabled to do the best work of their careers, wherever they choose to log in from. We believe that different perspectives, skills, backgrounds, and experiences result in higher-performing teams and better innovation. We are committed to equal employment and we encourage candidates from all backgrounds to apply. Clio provides accessibility accommodations during the recruitment process. Should you require any accommodation, please let us know and we will work with you to meet your needs. Learn more about our culture at clio.com/careers Disclaimer: We only communicate with candidates through official @clio.com email addresses.

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

At ProMach, we're looking for people who want to shine. You'll have opportunities to take your career in the direction you want. You can be creative. Strategic. Persuasive. Influential. Mechanical marvel. Customer service authority. Meticulous. A closer. A futurist. You'll be challenged and rewarded. Improve our customers' packaging performance and efficiency every day. Help build the future of packaging automation. We're proud of that and hope you will be too. Do we have your attention? Keep reading. ProMach is seeking an experienced and strategic Lead Data Analyst to drive complex analytical initiatives across the organization. This role requires a blend of hands-on data analysis, stakeholder engagement, and technical leadership. The ideal candidate has strong experience with Databricks, relational databases, ERP and CRM data, large-scale data migrations, and BI reporting from diverse systems. Excellent communication skills and the ability to collaborate with users at all levels are essential, as is a passion for transforming data into actionable business insights. As a Lead Data Analyst at ProMach, you'll be working across a complex data ecosystem that includes 45+ ERP systems, hundreds of databases, and multi-terabyte data environments. Your work will shape key business decisions in finance, operations, and supply chain by transforming fragmented data into powerful dashboards, insights, and narratives. Do you enjoy this work? Lead end-to-end analytics projects, from discovery through data modeling, analysis, and dashboard delivery. Collaborate with business leaders across departments (Finance, Operations, Marketing, Supply Chain) to define analytical needs and deliver actionable insights. Gather business requirements through interviews, workshops, and iterative feedback sessions with stakeholders at all levels of the organization. Design, build, and maintain dashboards, KPIs, and reports integrating data from ERP, CRM, and other operational systems. Write complex SQL queries and develop reusable data models, metrics logic, and transformations to power business intelligence. Use Databricks, relational databases, and other analytics platforms to explore and prepare large datasets for analysis. Lead or support data migration efforts across ERP/CRM platforms to ensure consistency, integrity, and minimal business disruption. Validate data accuracy and collaborate with data engineers to address pipeline, transformation, and governance issues. Mentor junior analysts on tools, methods, best practices, and business communication. Champion a culture of data literacy and promote high standards in reporting, analysis, and cross-functional collaboration. What's in it for you? There's no monopoly on good ideas or limits to how far you can advance with our team. We offer an open, communicative environment that fosters individual initiative. We pride ourselves in being a company where people are happy and choose to build a career. In addition to growth opportunities, as a ProMach employee, you receive more than just a paycheck. Total compensation includes your salary, comprehensive medical/dental programs, as well as life insurance, a generous paid time off program, and a retirement savings plan with a company match. And because we understand the importance of feeling protected, there is no waiting period for benefits - you are eligible on your first day of employment! If this sounds like you, we want to connect! Required: Bachelor's or Master's degree in a quantitative or analytical field such as Statistics, Mathematics, Computer Science, Information Systems, or Business Analytics. 5+ years of experience in data analytics, business intelligence, or data science roles, including 1-2 years in a lead or senior-level capacity. Advanced proficiency in SQL and experience working with large, complex datasets from multiple systems. Hands-on experience with relational databases (e.g., SQL Server, PostgreSQL) and ERP/CRM systems such as SAP, Oracle, SyteLine, or Salesforce. Experience designing and developing dashboards, KPIs, and reports that clearly communicate actionable insights. Strong communication skills and ability to work effectively with technical teams, business users, and executive stakeholders. Proven experience with requirement gathering, validation, and iterative BI development in a cross-functional setting. Ability to manage and prioritize projects across multiple stakeholders with varying levels of data literacy. Ability to travel up to 20% Preferred: Experience using Databricks SQL, Delta Lake, or cloud-based data platforms to prepare and analyze large datasets. Experience working on data migration projects involving ERP or CRM platforms. Familiarity with data governance, data quality validation, and metadata documentation. Knowledge of dimensional modeling and BI architecture best practices. Proficiency with visualization tools such as Power BI, Tableau, or equivalent. Familiarity with Agile environments and collaboration using tools like Jira, Confluence, or Git is a plus. Pro Mach, Inc. was named to the Inc. 5,000 list of the fastest growing private companies in the U.S. seven times. We continue to introduce innovative products, enter new markets, expand our global presence, and actively acquire new capabilities. We have the rewards, opportunities, and the market strengths of a large organization combined with the entrepreneurial culture of a small, fast-paced company. You will enjoy the benefits of working with a growing company that competes globally, with the personal touch and feel of a smaller company where you can make an impact every day. Curious about life at ProMach? Follow us on LinkedIn, Twitter, and Instagram! Pro Mach is an Equal Opportunity Employer. Pro Mach uses E-Verify to verify employment eligibility of all new hires to work in the United States. Pro Mach is a drug-free workplace. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Name of Employer: KBI Biopharma, Inc. Position Title: Data Reviewer/Scientist 1 Position Location: 1101 Hamlin Road, Durham, NC 27704 Days / Hours: Mon- Fri / 9:00 a.m.- 5:00 p.m. Summary of Duties: Perform data review for contract services projects, including GMP testing for internal and external manufacturing and stability studies, as well as analytical and formulation development programs for monoclonal antibodies, proteins, and peptides. Data review for assay categories: Particle Analysis, Spectrophotometry, Gel Analysis, Plate Based Assay, Binding Assay, HPLC, Trace Analysis, Capillary Electrophoresis, Biophysical Techniques, Method Qualification and Validation. Maintain knowledge of instrumentation and GMP standards. Employ data review software (Empower, 32 Karat, Softmax, Compass, Chemidoc). Verify that calculations, electronic data, and documented information are compliant and accurate. Make detailed observations and report documentation corrections as needed. Demonstrate strong communication and ability to work independently and as part of a team. Qualifications: Bachelor's degree or equivalent in Biology, Chemistry or related field of study and 6 years of progressive experience in analytical data review in a pharmaceutical setting. Employer will accept a Master's degree or equivalent in Biology, Chemistry or related field of study and 4 years of experience in analytical data review in a pharmaceutical setting, in lieu of Bachelor's degree or equivalent and 6 years of progressive experience. Applicants must have demonstrated experience with: 3 years of experience following cGMP documentation practices; 3 years of experience working with formulas, scientific equations, and graphs; 3 years of experience in analytical software, including Empower , SoftMax, or Compass; 3 years of experience with GMP testing, stability studies, analytical and formulation development of monoclonal antibodies, proteins, or peptides; 3 years of experience within a pharmaceutical setting completing weekly analytical data review assignments in cGMP environment and independently handling Method Qualification and Method Validation reviews; and 3 years of experience with Biopharmaceutical regulatory agency (FDA/EMA) inspection readiness for data integrity ALCOA+ and 21 CFR part 11 regulatory compliance requirements in cGMP environment. Any and all experience may be gained concurrently. KBI Biopharma, Inc. is an EEO/AA employer and actively seeks to diversify its work force. Therefore, all qualified applicants, regardless of race, color, national origin, religion, gender, gender identity, sexual orientation, age, disability or veteran status, are strongly encouraged to apply. KBI Biopharma is committed to providing a safe and healthy workplace. Any employee entering a KBI site located in the US must inform KBI Biopharma of their vaccination status and must submit their vaccination status. All vaccinated employees are required to provide proof of their COVID-19 vaccination, with a COVID-19 vaccination which has been granted FDA approval or Emergency Use Authorization. KBI Biopharma, Inc. is an EEO/AA employer and actively seeks to diversify its work force. Therefore, all qualified applicants, regardless of race, color, national origin, religion, gender, gender identity, sexual orientation, age, disability or veteran status, are strongly encouraged to apply. I understand that neither the completion of this application nor any other part of my consideration for employment establishes any obligation for KBI Biopharma, Inc. to hire me. If I am hired, I understand that either KBI Biopharma, Inc. or I can terminate my employment at any time and for any reason, with or without cause and without prior notice. I understand that no representative of KBI Biopharma, Inc. has the authority to make any assurance to the contrary. I attest with my signature below that I have given to KBI Biopharma, Inc. true and complete information on this application. No requested information has been concealed. I authorize KBI Biopharma, Inc. to contact references provided for employment reference checks. If any information I have provided is untrue, or if I have concealed material information, I understand that this will constitute cause for the denial of employment or immediate dismissal.

Location: New York, NY (other locations considered) Reports to: Chief Content Officer About the Team: The Content organization is responsible for identifying, licensing, creating/collecting and integrating best-in-class unstructured and structured data that is both self-sourced and from third party content providers. The organization is led by the Chief Content Officer and has strategy, product management, content collection operations and support responsibilities for each Content vertical. The Content organization has been experiencing rapid growth across all content sets. We value and uphold transparency, trust, and accountability in our relationships within the team, with internal stakeholders and with external partners. About the Role: The Data Licensing Manager candidate we seek has a passion for various types of structured (numerical/data) and unstructured (text/documents) Financial & Industry Content, while understanding the workflows of the consumers: buy-side/sell-side, investment banking, PE/VC, corporates, consulting, and other client user persona types, as well as the evolution and impact of new technologies and AI. This individual strives to deeply understand what content matters to AlphaSense users, how they want to use and consume it, and delivers on new content and related partnerships to meet those needs. Who You Are: Experience at a financial information/technology content vendor and/or client with specific focus on financial and industry content required. Solid existing relationships with and knowledge of a variety of content providers, such as: providers of financial filings and fundamental financial data points, earning estimates, event transcripts, private company data, equity pricing, fixed income content, reference data, news, trade journals, sector/industry content, alternative data, broker and market research. Strong experience with commercial and contractual negotiation with content vendors, including ability to creatively navigate through complex commercial terms and blockers to result in mutually agreeable and beneficial terms for all parties. Ability to review license grants and other terms within vendor partner agreements to interpret and understand what rights are granted so as to ensure compliance with vendor agreements and to determine ability to utilize content sets for new use cases, products & services. Effective communication skills working with internal colleagues and external vendor contacts at all levels Subject-matter expertise with content feeds, metadata, assorted document and data delivery types a plus. Prior experience negotiating technology agreements is a plus, as there are some 3rd party technology providers used for Content-specific tools/processes. Experience working with globally distributed teams and partners in different time zones Strong analytical skills and outstanding attention to detail A superior ability to set priorities, stay focused and meet deadlines Solid Excel/Word/PowerPoint/Google Sheets/Google Docs/Google Slides experience B2B SaaS and/or enterprise software application company experience What You'll Do: Manage and maintain strong new and ongoing relationships with key decision makers, product and technology teams at content vendor firms. Prospect for new potential content sources and partners, creating and maintaining a constant documented pipeline of both current and future partnership opportunities. Introduce ideas for new content to be considered for integration into the AlphaSense product. Negotiate commercial and contractual arrangements with new content vendor partners. Organize and track vendor partner contracts for renewal timing and review. Manage renewals and renegotiation as necessary with existing vendor partners. Assist in project management of partnership initiatives with content providers. Analyze other relevant competing products in the market and interact with customers to understand their workflows and pain points, and gather and document actionable feedback. In coordination with product managers and other stakeholders, contribute to the successful launch of content into the market, including the creation of announcements, marketing collateral, documentation, user training and internal training. Analyze other relevant competing products in the market and interact with customers to understand their workflows and pain points and gather and document actionable feedback In coordination with the Content product managers and other stakeholders, contribute to the successful launch of content into the market, including the creation of announcements, marketing collateral, documentation, user training and internal training Monitor client usage of content within the AlphaSense products Track industry trends and deliver competitive intelligence to better evolve product vision

How you'll make an impact: As a Senior Data Scientist, you will have the opportunity to work with many of the nation's leading healthcare providers in utilizing their financial, operational, and clinical data to drive their mission of providing world-class care while improving financial health. Your work will bring new insights to the healthcare industry. Applying data mining techniques and statistical analysis to healthcare and financial data across our customer base Processing, cleansing and verifying the integrity of data used for analysis and modeling Becoming an expert in our data, conducting ad hoc analyses that support thought leadership and identifying opportunities to extend our data assets with third-party sources of information when needed Developing, evaluating, deploying, monitoring, and maintaining models and algorithms that automate manual processes, enrich our existing data assets, produce deep insights, and yield new data products Collaborating closely with data engineering, software development, and product management to translate business problems into data science solutions which can be integrated into StrataJazz, our "Best in KLAS" enterprise SaaS solution Communicating complex technical concepts and analytical findings effectively to both technical and non-technical audiences through visualizations, documentation, and presentations to drive decision making Contributing to a culture of collaboration, learning, technical excellence, and continuous improvement by sharing your knowledge, skills, and ideas with others What we're looking for: 4-6 years of experience in data science roles, preferably within the healthcare or financial services sectors Strong proficiency in computational programming languages such as Python and proficiency using command line, scripting, and environment management tools Strong proficiency in SQL with the ability to explore, cleanse, and analyze messy data in large and complex relational databases Demonstrated experience in data analysis and applied statistical modeling Demonstrated experience with machine learning techniques, models, algorithms, and frameworks (e.g. classification, regression, clustering, XGboost, scikit-learn, etc.), Expertise in time series modeling and forecasting a strong plus! Strong problem-solving skills and ability to translate strategic questions into tactical work plans and outputs that deliver meaningful business value Experience working with big data and cloud data warehousing technologies like Snowflake, and familiarity with ETL processes and frameworks like dbt Experience building analytical and data science products within a SaaS framework Excellent communication and interpersonal skills, with the ability to present findings to differing audiences (e.g. internal technical and non-technical stakeholders, CFO, CEO, physicians, etc.) Data-oriented personality Estimated Salary Range: $105,000 - $135,000 Actual salary will be determined based on factors including, but not limited to, skill set and level of experience. This salary range is a good faith estimate of base pay. Strata also provides discretionary variable pay programs based on role. In addition, Strata provides a comprehensive benefits package including retirement benefits, health and welfare benefits, paid time off, parental leave, life and accident insurance, and other voluntary and well-being benefits. Find out more about Strata benefits here. How we work: The preferred location for this role is in Chicago, IL or St. Louis, MO. We value our people spending time together and have campuses hosting in-person events located in both cities. We are truly a hybrid environment with all team members experiencing the flexibility to work from home. Thinking about applying? Research shows that women and underrepresented groups tend to apply to jobs only when they check every box on a job posting. If you're currently reading this and hesitating to click "Apply" for that reason, we encourage you to go for it! A true passion and excitement for making an impact is just as important as work experience. Should you require a reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please reach out to careers@stratadecision.com. Here @ Strata… Our culture is driven by our people solving problems together. We embrace learning, collaboration, and continuous career growth. Together, we lift our customers, our products, our company, and our community. We believe that each of our team member's unique perspectives and experiences is what drives innovation and positive change. Our individual differences are what make us a more forward-thinking organization. We foster a culture of inclusion, equity and belonging, regardless of race, religion, disability, sex, sexual orientation, gender identity or national origin. Our Core Values: While we celebrate what makes each member of our team unique, our core values are what connect us. They set clear expectations for how we approach our work and how each of us can positively influence the experience of our team and our customers. We connect with positive intent. We are helpful. We own it. We get better every day. We are humble.

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 remote 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 a data engineer to join our technology team. In this role you will build Annalect products which sit atop cloud-based data infrastructure. We are looking for people who have a shared passion for technology, design & development, data, and fusing these disciplines together to build cool things. In this role, you will work on one or more software and data products in the Annalect Engineering Team. You will participate in technical architecture, design and development of software products as well as research and evaluation of new technical solutions. Key Responsibilities: Steward data and compute environments to facilitate usage of data assets Design, build, test and deploy scalable and reusable systems that handle large amounts of data Manage small team of developers Perform code reviews and provide leadership and guidance to junior developers Learn and teach new technologies Required Skills And Qualifications: BS, MS or PhD in Computer Science, Engineering, or equivalent real-world experience (You've learned something to be able to claim you are an engineer) Experience designing and managing data flows Experience designing systems and APIs to integrate data into applications 8+ years of Linux, Bash, Python, and SQL experience 4+ years using Spark and other Hadoop ecosystem software 4+ years using AWS cloud services, esp. EMR, Glue, Athena, and Redshift 4+ years managing team of developers Passion for Technology: Excitement for new technology, bleeding edge applications, and a positive attitude towards solving real world challenges Significant experience with Python, C++, or other popular language Experience with big data and/or infrastructure. Bonus for having experience in setting up Petabytes of data so they can be easily accessed. Understanding of data organization, i.e., partitioning, clustering, file sizes, file formats. Data cataloging with Hive/Hive metastore or Glue or something similar. Experience working with relational databases. Experience with Hadoop, Hive, Spark, or other data processing tools Experience building scalable data pipelines (Airflow experience a plus) Significant experience working with AWS and/or GCP Proven ability to independently execute projects from concept to implementation to launch and to maintain a live product Please note: This role will require an in-office presence, 3 days per week. 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 $90,000-$150,000 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

Canteen One Starting pay: 60,000.00- 65,000.00 Let's talk about Canteen One! We are the national account management arm for Canteen, the largest and most experienced food and retail service company in the United States. We help our clients take the best breaks possible by providing unique and customized office coffee, vending, market, and pantry programs from coast-to-coast. Let's talk about Perks! At our North Loop Minneapolis office, we have an awesome office environment filled with perks! Free office coffee and pantry- One block from light rail transit- Dress for your Day- Canteen Avenue C (market) & Foodsby food delivery- Sporting event tickets frequently raffled off- Paid time off to volunteer for corporate sponsored events- Wellness programs … you get the idea! Let's talk about Opportunity! As part of Compass Group USA, the 6th largest employer in the world and leader in food service and support services, Canteen One provides you with an opportunity to work with Fortune 500 companies, and become part of a diverse team committed to attracting, retaining, and developing top level talent. If you are passionate about a customer-first, always friendly approach, we think you'll fit right in! Canteen One offers a variety of career opportunities, including: Customer Service Accounts Receivable / Consolidation Services Finance / Accounting Client & Account Management Vendor Relations / Operations Information Technology great people. great services. great results. Each and every individual plays a key role in the growth and legacy of our company. We know the next big idea can come from anyone. We encourage developing and attracting expertise that differentiates us as a company as we continue to raise the bar. Job Summary This position supports all of Canteen (Canteen, Canteen One, and Franchise), focuses on directing and overseeing efforts to structure, cleanse, monitor and analyze master data and master relationship data across the Master Data Management and key back-office systems (ERP, CRM, etc.). The role fosters a sense of security and trust in the Master Data for the Enterprise, as the data stewardship program builds a more data-focused culture and advocates for the proper use of and attention to data. Essential Duties & Responsibilities Contribute to ongoing initiatives to define, cleanse, and integrate master data sets across the Canteen and Compass organization, including customer, product, vendor, equipment-types, etc. Ensure master data integrity in key systems as well as maintaining the processes to support the data quality. Ensure quality of master data in key systems. Development and documentation of processes with other functional data owners to support ongoing maintenance and data integrity. Identify areas for data quality improvements and help to resolve data quality problems through the appropriate choice of error detection and correction, process control and improvement, or process design strategies. In collaboration with subject matter experts and data stewards, define and implement data strategy, policies, controls, and programs to ensure enterprise data is accurate, complete, secure, and reliable. Qualifications High school diploma or G.E.D. required. Without a Bachelor's degree, three years of business experience in Data management or data administration, or equivalent time spent in a business setting requiring Data management or data administration and processes is required. With a Bachelor's degree, two years of Data management or data administration experience is required. Experience with master data elements and hierarchies relevant to a retail client including customer, vendor, equipment, product, etc. is required. Experience with front of house and back of house management systems and the data produced including sales, accounting, finance, warehouse, asset, fulfillment, etc. is required. Demonstrated high level of proficiency in MS Excel. Talent for turning data into information. Master Data Management solutions (i.e., Informatics, Stibo, etc) experience required. Minimum of 5 years of Systems Experience preferred. Formal training or certification in Data Analysis preferred. Apply to Canteen One today! Click here to Learn More about the Compass Story Compass Group is an equal opportunity employer. At Compass, we are committed to treating all Applicants and Associates fairly based on their abilities, achievements, and experience without regard to race, national origin, sex, age, disability, veteran status, sexual orientation, gender identity, or any other classification protected by law. Associates at Canteen One are offered many fantastic benefits. Medical Dental Vision Life Insurance/ AD Disability Insurance Retirement Plan Paid Time Off Holiday Time Off (varies by site/state) Associate Shopping Program Health and Wellness Programs Discount Marketplace Identity Theft Protection Pet Insurance Commuter Benefits Employee Assistance Program Flexible Spending Accounts (FSAs) Paid Parental Leave Personal Leave Associates may also be eligible for paid and/or unpaid time off benefits in accordance with applicable federal, state, and local laws. For positions in Washington State, Maryland, or to be performed Remotely, click here for paid time off benefits information. Req ID: 1440977 Canteen One ISAAC Warren SMITH

Job Description The Project Planning & Execution Data Analytics Lead is responsible for working closely with cross-functional teams in our Project Planning and Execution (PP&E) Integrated Workgroup (IWG) to build relationships, identify pain points, create and drive data strategy, and deliver actionable insights. The PP&E Integrated Workgroup is comprised of leaders from the business and technology functions who support the strategic planning and delivery of critical technology and analytics to drive the business forward. It includes Preconstruction, Scheduling, Virtual Design and Construction (VDC), Design-to-Build and other related workgroups. This Business Intelligence Analyst Lead role is part of the Data Analytics team and will ensure DPR is moving towards data-driven decisions based on insights derived from integrated business processes, systems, and analytics. Responsibilities Strategic Partnership / Roadmap / Execution / Delivery Participate in and collaborate with the PP&E Integrated Workgroup and Functional teams to align Data Analytics (DA) efforts with business objectives and goals Create, maintain, and execute on data analytics roadmap for stakeholder groups in alignment with overall goals and objectives Identify business sponsors and create and manage business steering committees (or similar), as needed Drive conversations with stakeholders to fully understand and document pain points. Drive strategic conversations focusing on successful outcomes and actions they are trying to drive Translate business pain points into data requirements Maintain a deep understanding of the customer's processes, tools, and goals Develop and maintain relationships with business stakeholders Coordinate and support Citizen Data Analysts within your function and/or region Visualization / Storytelling: Work with stakeholders to understand and align on business requirements Create and maintain dashboards and reports to deliver key analytics Deliver actionable insights to improve business processes and drive strategic conversations Track and monitor usage metrics to understand and measure adoption/impact of analytics Complete Ad-Hoc analyses as required Troubleshoot Issues / Failures: Identify root source of data integrity issues (report, dataflows (DFLs), data warehouse, source system) Troubleshoot and solution data integrity issues in visualization tool Data Modeling and ETL: Create complex data models in visualization tool, and make transformations as needed Query Data Warehouse using SQL to quickly analyze datasets Clean data, as required Identify potential new datasets to add to the Data Warehouse Identify potential new integrations between source systems and the Data Warehouse Work with Technical Analysts to build requirements for views in DBT and the data warehouse Documentation Work with Data Engineering in the development and maintenance of the data catalog Create and maintain documentation of queries, transformations, and refreshes for reports Security / Governance Follow, implement, and enhance data security and governance guidelines Create, maintain, and implement security for DFLs Review requests and grant access to DFLs, Reports, and Apps, as needed Create and maintain RLS in visualization tool, where needed Work with business stakeholders to understand and set security requirements, with regards to build access and view access Change Management Complete impact analysis on reports when changes are made to source systems or tables upstream Identify, quantify, and communicate impacts to stakeholders and customers Coordination / Collaboration / Prioritization Identify opportunities for data collaboration and integration between disciplines Coordinate alignment, as applicable, across other T&I groups Identify opportunities for AI/ML/Data Science efforts and work with those teams on project delivery Work with stakeholders to prioritize requests and initiatives based on business impact and resourcing Participate in Integrated Workgroup meetings to align support functions Training / Data Literacy Train end-users on how to use and interpret information/insights on deployed dashboards/reports Train end-users on how to build reports themselves Provide "on-the-job' training to business stakeholders when needed Work with Data Engineering and others to develop and maintain tool for Self Service Analytics Increase data literacy of business stakeholders through targeted trainings and conversations Identify opportunities to improve data literacy throughout DPR Data SME Operate as the Subject Matter Expert for the PP&E business across data availability, quality, processes, and technology for all workgroups within the PP&E Integrated Workgroup Maintain understanding of our data pipeline architecture to be able to articulate why we use it and its benefits/limitations for end users Ensure source of truth system(s) are identified and operational Qualifications Master's degree in Business Analytics, Data Analytics, Engineering, Architecture, Construction Management or related, plus three (3) years of experience in the application of data to solve problems, or Bachelor's degree in one of the above plus five (5) years of experience. Construction Project Controls experience including industry trends, terminology, and typical processes is strongly preferred. Scheduling, preconstruction and/or VDC experience strongly preferred. Experience in data visualization/BI tools - Power BI strongly preferred - including creating and maintaining dataflows. Proven analytic skills, including data mining, evaluation, analysis, and visualization. Skilled at analysis and providing relevant information people need to succeed in their roles to formulate accurate decisions and take appropriate action. Ability to create data models and understand dependencies between source systems. Experience with consuming APIs from the client side including REST and GraphQL. Basic knowledge of SQL scripting required. Knowledge of statistics and ability to translate this into non-technical, layman's terms. Proven track record of translating business pain points into data requirements. Proven track record of identifying and solving complex problems with data. Passion for the use of data and business intelligence principles and their ability to optimize business outcomes. Understanding of how business decisions are evaluated across operations, finance, risk and people practices, and ability to apply this understanding to identify opportunities for improved decision making. Advanced business acumen and working knowledge of typical company operations, including how business decisions are evaluated, and the ability to apply this understanding to identify opportunities for improved decision making. Excellent organizational, leadership, interpersonal, communication (written, verbal and visual), and analytical skills are needed. Demonstrated success in building trusted relationships with internal/external clients and customers. A drive to do what it takes to get the job done, including taking on different roles and responsibilities and adapting to changing environments. Ability to navigate ambiguity and work independently to identify and execute on IWG priorities without constant direction. DPR Construction is a forward-thinking, self-performing general contractor specializing in technically complex and sustainable projects for the advanced technology, life sciences, healthcare, higher education and commercial markets. Founded in 1990, DPR is a great story of entrepreneurial success as a private, employee-owned company that has grown into a multi-billion-dollar family of companies with offices around the world. Working at DPR, you'll have the chance to try new things, explore unique paths and shape your future. Here, we build opportunity together-by harnessing our talents, enabling curiosity and pursuing our collective ambition to make the best ideas happen. We are proud to be recognized as a great place to work by our talented teammates and leading news organizations like U.S. News and World Report, Forbes, Fast Company and Newsweek. Explore our open opportunities at www.dpr.com/careers.

The Data Solution Architect is a strategic role within the organization, responsible for designing technology solutions that meet business requirements while adhering to best practices and aligning with enterprise architecture. The Solution Architect bridges business objectives and technology solutions, ensuring that the systems and applications created are robust, scalable, and secure. This position requires a comprehensive understanding of business processes and modern data capabilities. Solutions Design (25%) Analyze Business Requirements: Work closely with stakeholders to understand functional and non-functional requirements for the solution. Define Architecture Components: Identify and design system components, including data flow, integration points, interfaces, and overall architecture. Create Architecture Diagrams: Develop high-level and detailed diagrams (e.g., flowcharts, sequence diagrams, system interaction models) to represent the solution architecture. Select Appropriate Technologies: Choose frameworks, languages, and tools that align with the architecture, ensuring they meet both current needs and scalability requirements. Ensure Scalability and Security: Design the solution to be scalable, reliable, and secure, incorporating security standards and performance considerations. Assess the Impact of Architectural Decisions: Evaluate how design choices impact current and future systems, ensuring they fit within the broader enterprise architecture. Stakeholder Collaboration (20%) Gather Requirements with Stakeholders: Facilitate workshops and meetings with business analysts, project managers, developers, and other stakeholders to understand project needs. Communicate Design Decisions: Explain architectural decisions and solution designs to non-technical stakeholders in an understandable way, including how the design aligns with business goals. Coordinate with Development Teams: Work with development leads to align project timelines, resource allocation, and technical requirements. Participate in Project Meetings: Attend regular project updates and stand-ups to align with project status and provide architecture-related guidance. Resolve Conflicts: Address and resolve any misunderstandings or misalignments between technical and business stakeholders regarding project scope and design. Technical Leadership and Oversight (20%) Provide Technical Guidance: Offer ongoing guidance to the development team, helping them align with the solution architecture. Code Reviews and Quality Assurance: Review code and design work to ensure compliance with architectural standards and best practices. Assist in Troubleshooting and Debugging: Help resolve any technical challenges, especially those related to architectural constraints or requirements. Enforce Best Practices: Ensure the use of best practices in areas like coding standards, API design, integration methods, and performance optimization. Evaluate Technical Debt: Identify and address technical debt areas to ensure the maintainability and scalability of the solution. Documentation (15%) Prepare Architecture Documentation: Create and maintain detailed documentation that outlines the architecture, including design specifications and component details. Maintain Technical Roadmaps: Develop roadmaps for technical implementation and deployment and update these based on project evolution. Document Key Decisions and Assumptions: Record major architectural decisions, assumptions, and rationales to provide context for future reference. Create User Guides and Training Materials: As necessary, prepare materials to help other teams understand and use the architecture effectively. Update and Archive Documentation: Ensure all documentation is current and accessible, archiving outdated materials as the project progresses. Evaluation of Technologies, Training and Prototyping (10%) Research New Tools and Frameworks: Continuously research emerging tools, libraries, and frameworks that could improve the solution architecture. Develop Proof of Concepts (POCs): Create small-scale prototypes to test and validate new technologies or architecture approaches. Evaluate Technology Fit: Assess whether new technologies fit within the existing environment and can meet the organization's needs. Identify Potential Use Cases: Determine how new technologies could enhance current or future solutions. Collaborate on Tool Selection: Work with procurement or technical teams to select and adopt new tools or platforms. Stay Updated on Industry Trends: Keep up with industry news, emerging technologies, and architecture best practices through conferences, courses, or professional networks. Conduct Knowledge Sharing Sessions: Organize workshops or training sessions to share architectural insights with other teams. Contribute to Internal Standards and Best Practices: Help develop and refine internal standards and best practices, ensuring they are aligned with current industry standards. Risk Management and Problem Solving (10%) Identify Architectural Risks Early: Analyze and highlight potential risks, including security, scalability, and performance risks, that may impact the project's success. Develop Mitigation Strategies: Propose and implement solutions to mitigate risks, including alternative designs or contingency plans. Troubleshoot Architectural Issues: Address and resolve technical challenges that impact architecture, including integration problems or performance bottlenecks. Monitor Project Progress for Risks: Regularly review project progress to identify and address emerging risks proactively. Maintain Compliance with Standards: Ensure the architecture adheres to industry standards, legal regulations, and internal governance requirements. Qualifications: Bachelor's or Master's degree in computer science, Information Technology, or a related field or equivalent work experience. 7+ years of experience in IT, with at least 2+ years in an architecture role. Proven track record of designing, implementing, and managing complex software systems and solutions. Proficiency in architecture frameworks such as TOGAF, Zachman, or similar. Deep knowledge of cloud platforms (e.g., AWS, Azure, GCP) and cloud-native solutions. Strong experience with microservices architecture, APIs, integration patterns, and enterprise software. Knowledge of various development technologies, such as Java, C#, Python, or JavaScript frameworks (e.g., React, Angular, Node.js). Familiarity with databases (SQL and NoSQL), DevOps tools, CI/CD pipelines, and containerization technologies like Docker and Kubernetes. Excellent analytical and problem-solving abilities. Strong communication and interpersonal skills for working with diverse stakeholders. Ability to explain complex technical concepts to non-technical audiences. Strong organizational skills and attention to detail. Relevant certifications such as AWS Certified Solutions Architect, Microsoft Certified: Azure Solutions Architect Expert, or similar credentials are preferred but not required. We offer our employees a robust compensation package! Our comprehensive benefits include: medical, dental and vision insurance coverage; 100% company-paid life and disability coverage, 401k options with company match, three weeks PTO by the end of the first year and much more. Allied proudly promotes from within as part of a strong commitment to providing career growth opportunities for employees of all levels. Our diverse business portfolio allows employees broad career options with the advantage of staying with the same organization. All qualified candidates will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. To view our privacy statement click here To view our terms and conditions click here

When you're the best, we're the best. We instill an environment where employees feel engaged, satisfied and able to contribute their unique skills and talents while living and working as their authentic selves. We provide extensive opportunities for personal and professional development, building both employee competence and organizational capability to fuel exceptional performance through an inclusive environment both now and in the future. Summary: In this role, you will engage in sophisticated data analytics, data modeling, and data technology product development to further the strategic goals of Vizient's Data Operations Technology team. You will utilize programming tools and your experiences with health care data to explore health care informatics challenges and to explore opportunities to create novel and reliable analyses/models/applications. You will steadily grow your domain knowledge and expertise with health care interoperability standards, application programming interfaces (APIs), business intelligence (BI) applications, electronic health record (EHR) systems, and enterprise resource planning (ERP) systems. You will engage directly with internal and client stakeholders to understand analysis needs, gather development requirements, provide demonstrations, and present results. Responsibilities: Use programming tools to translate business requirements into analytics, models, and applications. Generate hypotheses and analyze data to test and interpret results. Design and develop data models using machine learning and artificial intelligence tools. Identify improvement opportunities in data reporting, analytics, and processing tools, and collaborate with Vizient Technology staff to implement enhancements. Collaborate with leaders and clinicians to build analytics and informatics acumen across the organization. Communicate findings from exploratory and predictive data analysis to administrative and clinical leaders for specific projects. Leverage machine learning, natural language processing, or other statistical approaches to create, trouble shoot, and implement single platform solutions. Demonstrate functionally diverse utilization of relevant core programming tools with R, Python, and SQL. Apply task-specific mindset to address data science insights, breaking down aspects of solutions to define scope and make decisions supporting data science projects Create clear, concise, and organized communication materials including policies and procedures, guidelines, presentations, and messages. Use advanced analytical models and tools to analyze and understand big data sets. Identify and logically structure key issues and findings. Qualifications: Advanced degree preferred in applied math, statistics, computer science, econometrics, or related field. 5 or more years of experience managing large disparate data sets and using quantitative and qualitative analysis to draw meaningful and valid insights required. 3 or more years of programming experience using Python and R required. Expertise managing and analyzing large payer-sourced and provider-sourced claims data required. Knowledge of encounter and care delivery logics, geospatial logic and proxies, and payment methodologies required. Experience effectively communicating and presenting data to a variety of audiences required. Experience in developing, implementing, and validating synthetic datasets for analysis. Familiar with cloud computing environments, such as Amazon Web Services, Microsoft Azure, or Google Cloud Platform highly preferred. Familiar with health interoperability data standards such as HL7 and FHIR highly preferred. Experience working with health care administrative claims data or electronic medical record data tools highly preferred. Experience with MS SQL and with APIs preferred. Estimated Hiring Range: At Vizient, we consider skills, experience, and organizational needs in our compensation approach. Geographic factors may adjust the range estimate and hires typically fall below the top range. Compensation decisions are tailored to individual circumstances. The current salary range for this role is $102,400.00 to $179,000.00. This position is also incentive eligible. Vizient has a comprehensive benefits plan! Please view our benefits here: http://www.vizientinc.com/about-us/careers Equal Opportunity Employer: Females/Minorities/Veterans/Individuals with Disabilities The Company is committed to equal employment opportunity to all employees and applicants without regard to race, religion, color, gender identity, ethnicity, age, national origin, sexual orientation, disability status, veteran status or any other category protected by applicable law.

We are seeking a highly analytical and technically skilled Data Reporting & Insights Analyst to join our growing Data Intelligence team. This individual will play a critical role in designing and delivering actionable data solutions that drive transparency, efficiency, and strategy execution across our Sales and Marketing teams. This is a hands-on role that combines advanced data visualization, data engineering, and business collaboration. The ideal candidate has experience in Power BI/Tableau and SQL and thrives on transforming complex data into clear, impactful stories. Apply Now! Success in this role would be achieved by: Design, build, and maintain interactive dashboards using Power BI to visualize KPIs, trends, and business opportunities. Partner with Sales and Marketing stakeholders to define reporting needs, identify insights, and build robust KPI tracking. Ensure timely and accurate entry of trade data into the internal CRM to support sales credit and compensation processes. Use SQL to extract, clean, and merge data from disparate systems (CRM, trade data, marketing platforms, etc.). Serve as a data translator between technical systems and business teams Experience and required skill set: 3-5 years of experience in data analytics, business intelligence, or a similar function-preferably in financial services or asset management. Strong expertise in Power BI or Tableau, data modeling, and report publishing. Proficient in SQL for data extraction, transformation, and automation. Experience working with CRM systems and understanding of sales and marketing processes. Comfortable communicating with cross-functional stakeholders and presenting to non-technical audiences. Highly detail-oriented with a strong sense of accountability and a proactive mindset Supplementary Skills and Desirable Experience Experience with Salesforce or similar CRM platforms. Familiarity with trade data or working with custodians/distributors. Understanding of financial products, portfolio strategies, or ETF ecosystems. $70,000 - $80,000 a year The base salary range for this position is $70,000 - $80,000. In addition, employees are eligible for an annual discretionary bonus and competitive benefits package. Total compensation may vary based on factors such as location, role, company, department, experience and individual performance. About Us: WisdomTree is a global financial innovator, offering a well-diversified suite of exchange-traded products (ETPs), models, solutions and products leveraging blockchain technology. We empower investors and consumers to shape their future and support financial professionals to better serve their clients and grow their businesses. WisdomTree is leveraging the latest financial infrastructure to create products that provide access, transparency and an enhanced user experience. Building on our heritage of innovation, we are also developing and have launched next-generation digital products, services and structures, including digital or blockchain-enabled mutual funds and tokenized assets, as well as our blockchain-native digital wallet, WisdomTree Prime and institutional platform, WisdomTree Connect.* The WisdomTree Prime digital wallet and digital asset services and WisdomTree Connect institutional platform are made available through WisdomTree Digital Movement, Inc., a federally registered money services business, state-licensed money transmitter and financial technology company (NMLS ID: 2372500) or WisdomTree Digital Trust Company, LLC, in select U.S. jurisdictions and may be limited where prohibited by law. WisdomTree Digital Trust Company, LLC is chartered as a limited purpose trust company by the New York State Department of Financial Services to engage in virtual currency business. Visit https://www.wisdomtreeprime.com , the WisdomTree Prime mobile app or https://wisdomtreeconnect.com for more information. Work Smart: Headquartered in New York City, WisdomTree embraces a "Work Smart" philosophy that transcends physical workspace, aiming to optimize productivity, efficiency and effectiveness. Employee time in the office generally is not prescribed, and team leaders are empowered to determine how their teams work best, based on their roles, which may include in-person, in-office engagement. Mission, Vision & Values: WisdomTree is committed to delivering a better investment and financial experience through the quality of our products and solutions, and finding alignment within our community on our core values: WisdomTree employees strive for Excellence & Innovation, work with Transparency & Accountability, and show each other Fairness & Respect. We welcome the applications of qualified individuals who will support this mission and thrive in our collaborative and empowering work environment. Learn more at www.wisdomtree.com WisdomTree is proud to be an Equal Opportunity Employer, committed to diversity and consideration of all applicants and existing employees for all positions, and we evaluate qualified applicants without regard to race, color, religion, creed, sex, gender, age, national origin or ancestry, ethnicity, physical or mental disability, veteran status, marital status, sexual orientation, pregnancy, citizenship status, genetic information, or any other status or condition protected by applicable law.

This is an exciting, high-impact opportunity to help shape the course of one of the world's leading technology companies expansion from automotive to other market areas. The company is focusing accelerating growth in non-automotive, or adjacent markets, including Industrial, Commercial Vehicles, Commercial Aerospace, Military, Space, and Energy. This role will be responsible for analyzing market size, growth rate, competition, customers, our current product, and potential new products to prioritize opportunities for growth. Key job responsibilities for this role include: Build and maintain foundational analyses to provide ongoing and timely insights to inform / guide the business Lead Sales, Engineering, and IT teams to review and update standardized reports / dashboards for foundational analyses Lead Sales, Engineering, Product Line, and Distribution teams in prioritizing key non-automotive market opportunities Collaborate with Sales, Engineering, Product Line, Marketing, and Distribution teams in identifying which of our current automotive products best match non-automotive customer needs to promote growth Collaborate with Sales, Engineering, Product Line, Marketing, and Distribution teams in evaluating and recommending what additional portfolio/products are needed to increase our sales in non-automotive markets Collaborate with Corporate Strategy and M&A teams on evaluating and recommending potential inorganic growth opportunities Market models (TAM) including size, growth, and market share - in collaboration with the Corporate Strategy team Non-automotive sales, bookings, and profitability trends by customer, market, and product lines Competitor benchmarking including products and market share Scanning and collation of market intelligence (M&A, product launches, new market entrants, footprint investments, etc.) Support material preparation for internal business reviews Execute special projects to address strategic needs and challenges of the business Bring strategy expertise and thought leadership Provide coaching, guidance, mentorship to working team members Key Measurements Non-automotive sales, bookings, and profitability growth The ideal candidate will be able to combine highly structured and analytical thinking with sound business judgment and creativity to support our management team and businesses. S/he will bring: Demonstrated skills and experience in analyzing complex business problems - includes structuring the problem, gathering and analyzing data, generating insights and recommendations 4-5 years of experience in consulting, corporate strategy, investment banking, private equity Ability to conduct complex quantitative analyses and experience working with large data sets, and advanced analytics tools (e.g. Alteryx) Strong communication skills, including the ability to develop polished visuals (PowerPoint) and communicate effectively with senior audiences Domain expertise in areas relevant for our business (e.g. products like wire harness and connectors and end markets like Construction & Agriculture, Energy, Aerospace & Defense, Industrial & Robotics) Experience in utilizing Generative AI as a tool to efficiently analyze and summarize data and guide decisions Highly motivated candidate with a track record of strong performance and career progression Experience in managing teams and developing people BA/BS in a relevant field and MBA from a top business school Why join us? You can grow at Aptiv. Aptiv provides an inclusive work environment where all individuals can grow and develop, regardless of gender, ethnicity or beliefs. You can have an impact. Safety is a core Aptiv value; we want a safer world for us and our children, one with: Zero fatalities, Zero injuries, Zero accidents. You have support. We ensure you have the resources and support you need to take care of your family and your physical and mental health with a competitive health insurance package. Your Benefits at Aptiv: Private health care effective day 1 of employment Life and accident insurance Paid Time Off (Holidays, Vacation, Designated time off, Parental leave) Relocation assistance may be available Learning and development opportunities Discount programs with various manufacturers and retailers Recognition for innovation and excellence Opportunities to give back to the community Tuition Reimbursement Adoption Assistance Fertility Coverage Apply today, and together let's change tomorrow! Privacy Notice - Active Candidates: https://www.aptiv.com/privacy-notice-active-candidates Aptiv is an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, disability status, protected veteran status or any other characteristic protected by law.