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Veeva Systems is a mission-driven organization and pioneer in industry cloud, helping life sciences companies bring therapies to patients faster. As one of the fastest-growing SaaS companies in history, we surpassed $2B in revenue in our last fiscal year with extensive growth potential ahead. At the heart of Veeva are our values: Do the Right Thing, Customer Success, Employee Success, and Speed. We're not just any public company - we made history in 2021 by becoming a public benefit corporation (PBC), legally bound to balancing the interests of customers, employees, society, and investors. As a Work Anywhere company, we support your flexibility to work from home or in the office, so you can thrive in your ideal environment. Join us in transforming the life sciences industry, committed to making a positive impact on its customers, employees, and communities. The Role Veeva Vault Clinical Data Management System (CDMS) is changing the way clinical data is managed in the industry. Vault CDMS combines EDC, coding, and Veeva Clinical Database (CDB) into one application. Veeva Clinical Database (CDB) is a next-generation clinical data platform that centralizes and automates data imports, cleaning, and management for clinical trials. To handle the massive expansion of trial data sources, Veeva CDB is designed to scale and accommodate all relevant data for a trial. Veeva Systems is looking for Senior Consultants who have life sciences software programming experience specifically in helping customers optimize the use of EDC in running their clinical trials. Additionally, the role will support internal and customer teams in the configuration of Veeva CDB and programming of SQL based listings. This is a remote, full-time permanent role with Veeva. This is a customer-facing role and we have no work location requirement if you are in close proximity to an airport and able to meet future travel requirements. What You'll Do Act as the customer and clinical site trusted advisor to ensure that the study trial design is configured to meet the customer's goals and offer full benefits of Veeva's CDMS application while providing training and mentorship Work and consult with customers to review and understand clinical protocol requirements and all project specifications, applying industry and Veeva best practices Drive database development activities per implementation project plan by working with various members of the sponsor, CRO, and other external vendor teams Collaborate with clinical data providers (Central Laboratories, ECG, eCOA, IRT, etc.) to receive data and configure transfers based on requirements Configure forms, rules, and other study items with Veeva Vault CDMS product during development and develop custom listings based on customer data cleaning requirements using SQL-based language Conduct on-site or remote user acceptance testing with the customer, including coordination of all feedback, resolution of issues, and acceptance of the study Support requirements gathering and specification creation process for all study integrations and go-live activities to ensure a smooth transition of the study to the customer Communicate potential risks and contingency plans with project management to ensure process compliance with all regulatory and Veeva procedural requirements Participate and contribute to process product or best practices initiatives and support developers and testers during the project lifecycle Participate in Vault CDMS Product team discussions to convey data management activities, challenges, and end-user expectations Configure and support data ingestions (imports) into Veeva CDB Requirements 5+ years of experience working with EDC clinical software solutions in end-to-end data management related activities (database design, data collection, data analysis, query resolution, datasets, statistical reporting) Working knowledge of clinical trial processes, specifically as they relate to data collection and review Prior experience in programming languages such as (SAS, R, JSON, Python, SQL) with the ability to learn new programming languages (SQL-based language) Life sciences industry and clinical trial processes (pharmaceutical, biotech, medical device companies, CRO's, and academic & public health organizations) expertise in relation to design, documentation, and data collection - with demonstrated success during project assessment, planning, development, training, and implementation with customers Experience in a customer-facing role, preferably with a software professional services or consulting organization Proven ability to work independently and collaboratively in a dynamic, fast-moving environment and meeting project timelines with quality results Excellent verbal and written communication, interpersonal, and presentation skills Ability to travel up to 10% (may include international) Nice to Have Working understanding of data management standards and guidelines (GCDMP, CDISC, SDTMIG, CDASH, ADaM) Experience working with system integrators for IVRS, medical coding, eSource, CTMS, eTMF, and other clinical technologies Integration/Programming experience with REST-based APIs Experience in interpreting clinical protocols and translating requirements into software specifications, including writing and reviewing technical documentation Experience with Veeva applications Locality to major life sciences customer hub Life Science, Computer Science, or related degree Perks & Benefits Medical, dental, vision, and basic life insurance Flexible PTO and company paid holidays Retirement programs 1% charitable giving program Compensation Base pay: $80,000 - $200,000 The salary range listed here has been provided to comply with local regulations and represents a potential base salary range for this role. Please note that actual salaries may vary within the range above or below, depending on experience and location. We look at compensation for each individual and base our offer on your unique qualifications, experience, and expected contributions. This position may also be eligible for other types of compensation in addition to base salary, such as variable bonus and/or stock bonus. #LI-Remote Veeva's headquarters is located in the San Francisco Bay Area with offices in more than 15 countries around the world. Veeva is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity or expression, religion, national origin or ancestry, age, disability, marital status, pregnancy, protected veteran status, protected genetic information, political affiliation, or any other characteristics protected by local laws, regulations, or ordinances. If you need assistance or accommodation due to a disability or special need when applying for a role or in our recruitment process, please contact us at talent_accommodations@veeva.com.

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.

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.

Employee Applicant Privacy Notice Who we are: Shape a brighter financial future with us. Together with our members, we're changing the way people think about and interact with personal finance. We're a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we're at the forefront. We're proud to come to work every day knowing that what we do has a direct impact on people's lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world. The role: SoFi is looking for a highly motivated Data Scientist to support the development of top-tier marketing strategies and boost member growth across products through the Marketing Affiliates channels, which are key drivers of revenue and new account acquisition for SoFi. This is an exciting opportunity for someone who is passionate about using data to problem solve within a fast-paced environment. The Marketing Data Science (MDS) team is responsible for enabling data driven decisions in SoFi's Marketing organization through robust analytics, modeling, experimentation and measurement. Embedded in the Marketing organization, the team supports all marketing needs across three verticals: Product Strategy and Analytics Marketing Measurement and Digital Channel Analytics, and Personalization This new role will be working with senior data scientists to develop, optimize and implement the marketing strategies in the Affiliate channel across products. It will interface directly with marketing managers and leadership and 3rd party affiliate partners to develop reporting and identify insights of improving marketing performance and efficiency. If you are interested in working with highly quantitative teammates and elevating how data and analytics drives marketing and business decisions, this role is for you. What you'll do: Develop, maintain, and monitor reports and data pipelines shared with Affiliate partners (including Credit Karma, Experian Activate, Nerdwallet, Rakuten, etc.) to ensure seamless exchange of data. Collaborate with the Affiliate Marketing team at SoFi, providing support through ad-hoc analytics, dashboarding, and execution. Collaborate with Risk, Business Unit, Pricing, and other counterparts to develop and implement strategies, and code & deploy models on Affiliate partner sites to support business growth. Analyze and measure the effectiveness of the marketing strategies, including funnel efficiency (click to convert), CPA (cost per acquisition) and ROI (return on investment), to provide data-driven recommendations and drive informed actions. Define key performance indicators (KPIs), design reporting framework and develop self-service dashboards to empower organizational-wide access to actionable business insights. Interface with partners to communicate data and reporting needs, implement partner integrations, and co-create improvement opportunities. Proactively identify and capitalize on opportunities to improve the conversion rate and reduce the marginal cost to acquire, and work with other channel owners to optimize the overall marketing budget. Transform business objectives into data-driven, actionable tactics and campaigns that generate immediate results and establish a robust foundation for sustained growth. Assist in data and reporting requirements for launching new products in the affiliate channel. Convert complex data into compelling narratives and concise presentations that inform and guide decision-making at the senior management level. Support the continued evolution of the Affiliate Channel by informing on new capabilities (e.g. AI) and platforms that could next-level our operations. Fulfill partner requests promptly by providing timely analysis, adeptly navigating ambiguity, and focusing on solution-oriented approaches. What you'll need: Bachelor's degree in Computer Science, Math, Physics, Engineering, or a quantitative field required; Master's degree preferred. 2+ years of experience in Marketing, with a focus in Affiliate channels preferred. Strong preference for industry experience in financial service and familiarity with banking products and marketing channels. Strong relationship-building, communication and collaborative skills, with comfort interfacing directly with Marketing & Affiliate leadership and external partners. Proficiency in SQL, Python, and Tableau. Experience building data pipelines with Airflow, preferably in Snowflake. Demonstrated experience with experimentation and hypothesis testing. Knowledge of statistical modeling or machine learning is a plus. High intellectual curiosity and a quick learner of new technical skills. Ability to initiate and drive projects independently to completion, and ability to clearly communicate technical information to diverse audiences. Ability to thrive in a dynamic, cross-functional environment with keen attention to detail. Compensation and Benefits The base pay range for this role is listed below. Final base pay offer will be determined based on individual factors such as the candidate's experience, skills, and location. To view all of our comprehensive and competitive benefits, visit our Benefits at SoFi page! Pay range: $105,600.00 - $198,000.00 Payment frequency: Annual This role is also eligible for a bonus, long term incentives and competitive benefits. More information about our employee benefits can be found in the link above. SoFi provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth and related medical conditions, breastfeeding, and conditions related to breastfeeding), gender, gender identity, gender expression, national origin, ancestry, age (40 or over), physical or medical disability, medical condition, marital status, registered domestic partner status, sexual orientation, genetic information, military and/or veteran status, or any other basis prohibited by applicable state or federal law. The Company hires the best qualified candidate for the job, without regard to protected characteristics. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. New York applicants: Notice of Employee Rights SoFi is committed to embracing diversity. As part of this commitment, SoFi offers reasonable accommodations to candidates with physical or mental disabilities. If you need accommodations to participate in the job application or interview process, please let your recruiter know or email accommodations@sofi.com. Due to insurance coverage issues, we are unable to accommodate remote work from Hawaii or Alaska at this time. Internal Employees If you are a current employee, do not apply here - please navigate to our Internal Job Board in Greenhouse to apply to our open roles.

About xAI xAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company's mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers and researchers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. About the Role We are seeking a meticulous and experienced Quality Lead to join our Human Data Training Team at xAI. In this pivotal role, you will ensure the highest standards of data quality for our AI models, by standardizing processes, creating rubrics, and conducting audits. Your expertise will drive continuous improvement in data annotation, labeling, and training workflows, ensuring that our models deliver accurate, reliable, and impactful results across diverse domains such as science, technology, mathematics, humanities, and more. Key Responsibilities: Process Standardization & Best Practices: Develop and implement standardized workflows and guidelines for AI data annotation and labeling tasks, ensuring consistency across projects and teams. Monitor data quality patterns, update best practices, and maintain detailed documentation for clarity and standardization. Quality Audits & Continuous Improvement: Conduct audits to identify discrepancies and opportunities for improvement. Analyze findings to enhance data integrity, factuality, and reliability through process improvements. Strategic Leadership & Client Management: Partner with stakeholders to define quality expectations, manage quality across projects, and present metrics and insights to foster transparency. Team Enablement & Collaboration: Mentor teams on quality standards, work closely with project leads to optimize workflows, and collaborate cross-functionally to innovate tools for data quality enhancement. Systems Thinking & Operational Excellence: Identify process optimization opportunities, drive strategic initiatives aligning with AI training needs, and oversee team performance to exceed KPIs. Business Ownership: Develop strategies for organizational growth and profitability while ensuring cost-effectiveness. We are looking for candidates with the following traits, skills, background, expertise: Education: Bachelor's degree in Computer Science, Data Science, Operations Management, or related field (Master's preferred), or proven exceptional ability. Experience: 5+ years in operations management, quality control, or process improvement, ideally in AI. Experience managing large teams (30+ members) with a track record of exceeding KPIs. Knowledge of AI training workflows, data annotation, and quality assurance. Technical Skills: Proficiency in quality management tools, data analysis platforms, and project management software. Experience with SQL, Python, or similar for data analysis. Familiarity with statistical tools like Tableau or Power BI and quality frameworks. Core Competencies: Strategic Thinking: Identify growth opportunities and adapt to evolving needs. Communication Skills: Clearly present complex information. Leadership Abilities: Lead and mentor diverse teams towards excellence. Attention to Detail: Ensure high data accuracy and quality standards. Adaptability: Thrive in a dynamic, fast-paced environment. Benefits We offer the following employee benefits: Competitive cash and equity-based compensation Medical, dental, and vision insurance Unlimited paid time off subject to prior approval Annual Salary Range: $104,000. to $160,000 Location: San Francisco, CA / Palo Alto, CA xAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice

Industry/Sector Insurance Specialism Data, Analytics & AI Management Level Senior Associate 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 Senior Associate, 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: Use feedback and reflection to develop self awareness, personal strengths and address development areas. Delegate to others to provide stretch opportunities, coaching them to deliver results. Demonstrate critical thinking and the ability to bring order to unstructured problems. Use a broad range of tools and techniques to extract insights from current industry or sector trends. Review your work and that of others for quality, accuracy and relevance. Know how and when to use tools available for a given situation and can explain the reasons for this choice. Seek and embrace opportunities which give exposure to different situations, environments and perspectives. Use straightforward communication, in a structured way, when influencing and connecting with others. Able to read situations and modify behavior to build quality relationships. 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: 4 year(s) Preferred Qualifications: Certification(s) Preferred: Certification in one of the following cloud platforms- AWS/Azure/GCP Preferred Knowledge/Skills: Demonstrates thorough abilities and/or success in one or many of the following areas: Demonstrating an expertise in developing and implementing data or analytics-driven strategies to drive business growth and optimize decision-making; Defining data management and data/analytics governance strategy and align data initiatives with organizational goals; Conducting data/analytics strategy refresh on a regular basis and managing overall data strategy program success; Delivering strategy and transformation projects; Understanding and experience with modern cloud data architectures and engineering for one or more of the following cloud providers- AWS, Azure, GCP; Implementing cloud data architecture and data integration patterns for one or more of the cloud providers (AWS Glue, Azure Data Factory, Event Hub, Databricks, etc.), storage and processing (Redshift, Azure Synapse, BigQuery, Snowflake); Infrastructure as code (CloudFormation, Terraform); Understanding and thorough knowledge of Data Warehousing concepts (normalization, OLAP, OLTP, Vault data model, graphs, star & snowflake schemas); Applying knowledge and 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/L&A Insurance data warehouse; Developing file and object-based storage solutions using Azure ADLS 2.0 or AWS S3; Applying knowledge in SQL, report generation using visualization tools such as Tableau/Power BI/Cognos, programming using Python/Spark; Designing and developing advanced analytics solutions, AI/ML models, and operationalizing based on ML Ops process; Understanding of enterprise data concepts such as Master Data Management Data Governance and Enterprise Data Warehouse; Applying leading practices in supporting high availability, scalable, process and storage intensive solutions architectures to data integration/migration, analytics and insights, AI and ML requirements; Understanding and familiarity of one or more is a big plus- CI/CD, cloud devops, containers (Kubernetes/Docker, etc.); Understanding of insurance data, underlying KPIs and how they are used; and, Demonstrating prior P&C/L&A Insurance industry experience. Demonstrates thorough 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; 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; Understanding how the application of analytical techniques correlated to business value and being able to select the appropriate analytical techniques for the problem at hand; Willing to learn and apply modern, cloud-based technology skills, ability to research emerging trends, analyst publications, and adoption of modern technologies in solution architectures; 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 cogently in written and verbal formats to various audiences (including various levels of management and external clients) in a professional business environment; and, Demonstrating leadership experience, 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: $77,000 - $202,000, 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

Who we are At AIG, we are reimagining the way we help customers to manage risk. Join us as a Data Management Senior Analyst to play your part in that transformation. It's an opportunity to grow your skills and experience as a valued member of the team. Make your mark in Data Management General Insurance is a leading provider of insurance products and services for commercial and personal insurance customers. It includes one of the world's most far-reaching property casualty networks. General Insurance offers a broad range of products to customers through a diversified, multichannel distribution network. About the role The Data Management Senior Analyst reports into the Vice President of Data Management and Governance. The most prominent component of the position is to oversee the management and governance of the critical data assets to drive operational efficiency, compliance and data driven decision making. As the data management senior analyst, you will be responsible for leading data projects, ensuring data quality, and managing master data across the organization, while working closely with business stakeholders and IT teams to align with the strategic goals of the Global Data Office. The role will also be responsible for supporting the enterprise Master Data Management (MDM) program, ecosystem & associated platforms, processes, and overall operating model by defining, directing, implementing, and continuing to enhance the MDM roadmap, business architecture, and end state vision. How you will create an impact Global Data Office/ Data Management & Governance Responsible for data management and governance for master data. Responsible for mastery, custodianship, and deep understanding of data domains across the enterprise in support of underwriting life cycle processes. Define requirements and success criteria for implementation of technology systems and insurance operations. Support the establishment and maintenance of Data Office policies, standards, and procedures. Define and implement audit processes for policy and standard adherence. Business Analysis / Master and Reference data Gather, document, analyze, and prioritize requirements/user stories from various stakeholders by establishing communication, exploring documentation, and conducting meetings. Together with data analyst(s), document transformation requirements via source to target data mapping templates. Manage the day-to-day operations of key reference data. Data Projects Conduct gap analysis to identify and define project scope. Provide requirements and define current and future state solutions. Based on the project requirements, define and conduct system integration and user acceptance testing. Organize and provide trainings and demos for diverse user community. What you'll need to succeed 5+ years of data management experience in commercial insurance preferred. Undergraduate degree in a relevant field or proven record of experience in Data Management and Governance roles. Strong understanding of principles, procedures, and skills associated with Data Management and Governance concepts and practices Experience in large corporate environment. Experience in Property and Casualty Insurance company. Deep level of expertise in the underwriting lifecycle process is a plus. Highly motivated team player with a positive, and collaborative attitude. Superior presentation skills with a high degree of attention to detail. Excellent verbal and written communication skills to effectively interact with diverse stakeholders and manage expectations. Experience working in an Agile environment with knowledge of Scrum practices and ceremonies. Working knowledge of transforming data structures, particularly for integration projects. Ability to work independently and at times directly or indirectly with global business, data, operations, and technology teams; gathering, assembling, analyzing and evaluating facts, data and other information to support sound decisions; and serve as contact point for multiple enterprise defined data/business domains. Ready to take your career to the next level? We would love to hear from you. This position is eligible for a bonus in accordance with the terms of the applicable incentive plan. In addition, we're proud to offer a range of competitive benefits, a summary of which can be viewed here: US Benefits Overview #AIGhiring #datamanagment Veterans are encouraged to apply. LI-NK1 At AIG, we value in-person collaboration as a vital part of our culture, which is why we ask our team members to be primarily in the office. This approach helps us work together effectively and create a supportive, connected environment for our team and clients alike. Enjoy benefits that take care of what matters At AIG, our people are our greatest asset. We know how important it is to protect and invest in what's most important to you. That is why we created our Total Rewards Program, a comprehensive benefits package that extends beyond time spent at work to offer benefits focused on your health, wellbeing and financial security-as well as your professional development-to bring peace of mind to you and your family. Reimagining insurance to make a bigger difference to the world American International Group, Inc. (AIG) is a global leader in commercial and personal insurance solutions; we are one of the world's most far-reaching property casualty networks. It is an exciting time to join us - across our operations, we are thinking in new and innovative ways to deliver ever-better solutions to our customers. At AIG, you can go further to support individuals, businesses, and communities, helping them to manage risk, respond to times of uncertainty and discover new potential. We invest in our largest asset, our people, through continuous learning and development, in a culture that celebrates everyone for who they are and what they want to become. Welcome to a culture of inclusion We're committed to creating a culture that truly respects and celebrates each other's talents, backgrounds, cultures, opinions and goals. We foster a culture of inclusion and belonging through learning, cultural awareness activities and Employee Resource Groups (ERGs). With global chapters, ERGs are a cornerstone for our culture of inclusion. The talent of our people is one of AIG's greatest assets, and we are honored that our drive for positive change has been recognized by numerous recent awards and accreditations. AIG provides equal opportunity to all qualified individuals regardless of race, color, religion, age, gender, gender expression, national origin, veteran status, disability or any other legally protected categories. AIG is committed to working with and providing reasonable accommodations to job applicants and employees with disabilities. If you believe you need a reasonable accommodation, please send an email to candidatecare@aig.com. Functional Area: DT - Data AIG PC Global Services, Inc.

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

THIS IS NOT A DATA ENGINEERING RELATED POSITION CAI seeks Mechanical Commissioning Engineers, Minimum of two years' experience in Data Center Commissioning to support development and execution of all mechanical aspects of commissioning projects. Position Description: This position supports development and execution of all mechanical aspects of assigned commissioning projects from initial engagement, design reviews, checklists, safety support, script development, vendor coordination, testing and report development through turn over to the client. The Mechanical Commissioning Engineer will support the development of the mechanical test schedule, finalize mechanical test procedures, review project submittals for consistency with the design intent, basis of design and the owner's project requirements, and maintain project cadence for the mechanical systems testing and associated Building Automation Systems. The Mechanical Commissioning Engineer is to support the planning and execution of commissioning for the mechanical infrastructure of the mission critical facility. They will be expected to execute against the project schedule through the coordination of contractors and/or vendors to complete the desired mechanical systems testing. CAI DC Mechanical Commissioning Engineer will be exposed to cutting edge technologies in the Hyperscale and other spaces. You will have an opportunity to work with recognized subject matter experts allowing YOU to be a key player in bringing data technologies to market. As part of our company culture, we invest in YOUR future, and commit to hands on certifications as well as professional training. Our collaborative culture ensures that our customers benefit from exemplary work across our entire range of professional services. Responsibilities: Support and contribute to all aspects of safety for all mechanical tests. Support complete commissioning and performance acceptance testing of the mechanical infrastructure systems. Development of all mechanical test procedures, MOPS, SOO's and checklists. QA/QC of all mechanical test procedures. Provide input and insight to the overall commissioning plan. Develop reports for the mechanical testing and contribute to a daily report to the Commissioning Project Manager. Attend and be an active participant of customer equipment Factory Witness Test Assist with vendor coordination and management. Perform equipment inspection to ensure build adherence to vendor submittal. Provide test documentation that equipment is delivered, installed, and tested correctly and set to function properly for the customer. Support and perform design specification review, manufacturer submittals, one line drawing sets, and project schedule documentation. QA/QC of mechanical equipment installation\startup Execute test scripts to confirm equipment and system operation to design specification. Ensure safe work practices are followed by the commissioning team and customer site. Engage with customers and vendors to ensure positive experience, goals achievement, and schedule adherence. Provide daily status reports for mechanical commissioning team status. Conduct facility walk downs, turnover, and punch list reviews. General understanding of LEED specifications and requirements. Look for new opportunities for CAI to provide service and value to customer. Duties may be increased as experience and skill allow. Requirements include: Position Requirements: Bachelor's degree or equivalent experience Minimum of 2 years Data Center Commissioning experience. Knowledge of OSHA safety requirements. Good written and verbal communication skills. Ability to read and interpret mechanical drawings, P&ID's and specifications. Knowledge of mission critical design concepts. Knowledge of various Building Automation/Monitoring Systems (BAS/BMS), Air Handlers, Humidifiers, Variable Refrigerant Flow, Computer Room Air Conditioners/Handlers (CRAC/CRAH), Evaporators, Adiabatic Coolers, Pressure/Temperature/Humidity sensors & Flowmeters. Knowledge of basic thermodynamics and heat transfer and fluid flow. Knowledge of the Test, Adjust and Balance (TAB) process. Knowledge of mechanical trend analysis. Strong experience with Word, Excel and PowerPoint. Can effectively create final products in all three programs. Work under construction site conditions Other Requirements: Excellent oral and written English is required Extensive travel may be required (75%) Candidates must have a Passport or the ability to immediately get a Passport Able to work in the US without sponsorship now or any time in the future. About CAI CAI is a 100% employee-owned company established in 1996, that has grown year over year to more than 800 people worldwide. We provide commissioning, qualification, validation, start-up, project management and consulting services related to operational readiness to FDA regulated and other mission critical industries. Are You Ready? Our approach is simple; we put the client's interests first, we do not stop until it is right, and we will do whatever it takes to get there. As owners of CAI, we are committed to living our Foundational Principles, both professionally and personally: We act with integrity We serve each other We serve society We work for our future With employee ownership, one person's success is everyone's success; we work diligently to accomplish team goals. We place Team Before Self, demonstrate Respect for Others, and possess a can-do attitude. That is how we have grown exponentially. Benefits Our full-time positions offer competitive compensation and benefits which include: up to 15% retirement contribution, 24 days PTO and 5 sick days per year, health insurance at extremely low cost to employee, financial support for both internal and external professional education as well as 70% long term disability paid for by the company. #LI-MV1 #MISSIONCRITICAL $72,800 - $85,500 a year Average salary range, not including benefits or compensatory time and possible discretionary bonuses. CAI Benefits: Comprehensive Health Insurance coverage 24 days of Paid Time Off ESOP/401K - 15% Company Contribution (US Only) Company paid Life Insurance Company paid Long Term Disability We are an equal opportunity employer; we are proud to employ veterans and promote a diverse culture in our workplace. Diversity is a strength for our global company. We pledge that CAI will be operated in a way that is fair and equitable to all - our employees, our customers, and the broader society. This job description is not all inclusive and you may be asked to do other duties. CAI will also consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the FCO.

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

What Makes You a Great Fit: We are looking for a Sr. Data Engineer to join our dynamic BI team. You will use your expertise in data analytics, data modeling, transformation, and reporting to deliver scalable, reliable, and insightful data solutions. You will shape our analytics infrastructure, guide data-driven decision-making, and ensure that teams across the organization have access to accurate data. This position is ideal for someone who loves transforming raw data into actionable insights and building reporting solutions that empower teams and meet the needs of multiple partners. This role requires in office presence in our Palo Alto office, 3 days/week. How You'll Make an Impact: Investigate system data issues and perform data cleanup across multiple data sources. Develop automation solutions for data manipulation tasks, improving efficiency and accuracy. Collaborate with teams to meet data requirements for different departments. Gain expert-level knowledge of our data systems, ensuring data quality and integrity. Create ETL processes from different data sources, analyzing data completeness and accuracy. Work with the Business Intelligence team to provide clean datasets and support data-intensive applications. Design and implement machine learning model test and deployment strategies. Contribute to the implementation of engineering best practices, including unit tests and integration tests in a CI/CD environment. Help develop data-intensive web applications within a microservices architecture. Let's Connect If You: 5+ years of experience in an analytics engineering, data engineering, or similar role. 3+ years hands-on experience with dbt for data transformation. Proficiency in SQL and with building reports and dashboards using Looker, Tableau, or Power BI. An understanding of data modeling concepts and best practices for building scalable reporting solutions. Experience collaborating with teams to create data solutions that meet our needs. Familiarity with cloud data warehouses (e.g., Snowflake, Redshift, BigQuery) and modern data stack (Fivetran, Atlan, Airflow, and Monte Carlo) Experience communicating updates and resolutions to customers and other partners and experience turning complex data into easy-to-understand insights. #LI-hybrid

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

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.

Senior Data Scientist The Senior Data Scientist will leverage advanced academic qualifications and extensive applied knowledge to derive significant value from data science efforts. This role will have the autonomy and ownership to rapidly create impactful data solutions, taking on leadership roles to manage complex projects and provide strategic guidance that elevates the team's capabilities. Working both independently and within cross-functional teams, the Senior Data Scientist will develop and deploy actionable insights that guide strategic decisions, leading to better resource allocation, improved engagement, and more effective business strategies. The broad and deep background in data science, including specializations such as natural language processing (NLP), deep learning, and forecasting, will enable this role to translate business problems into data problems, lead solution development with machine learning or broader AI techniques, and convert insights into recommendations and value. The Senior Data Scientist will encompass a product mindset that will drive the development and adoption of innovative solutions, helping the team establish technical specialization and expertise in response to the continued evolution of the data science field. What you'll do: Leads complex projects, designing, developing, and deploying advanced machine learning models using diverse data to inform strategic decisions, marketing, and advertising strategies, driving business outcomes Provides strategic guidance, translating business challenges into data solutions, managing development and delivery, and supporting planning, resource availability, and stakeholder engagement Mentors junior team members, supports their growth, and collaborates on downstream steps, including code refactoring, testing, deployment, monitoring, and integration Queries, analyzes, and models diverse datasets, including GA4 data, to develop predictive models and automate dataset generation and insights with support from partner teams Develops proficiency and utilizes both Google Cloud Platform (GCP) and Microsoft Azure, leveraging tools such as BigQuery, BigQuery ML, Colab Enterprise, Looker, Vertex AI, Cloud Source Repositories, Azure Machine Learning, Fabric, Azure Data Factory, and Azure Repos. Develops and deploys solutions using SQL and Python Communicates project status through agile ceremonies, shares insights with stakeholders, develops structured repositories, and operates in an agile environment, utilizing estimation, adaptability, and continual delivery Supports the development of planning and estimates for associated scope, ensuring the availability of relevant resources (e.g., datasets and tools). Engages in stakeholder and change management to support the effective use of solutions Automates the generation of datasets and insights by deploying data and model pipelines, with support from partner teams, including Data Engineering Revises the dataset construction process through iterative development, incorporating feedback and quality assurance (QA) measures to ensure accurate and reliable results Explores and remains curious about new areas in data science and AI fields. Conducts research and develops expertise in these areas as relevant to projects, especially through practical application. Maintains a focus on continual improvement What you'll need: Proficiency in SQL and Python for data manipulation, analysis, and model development, with advanced knowledge of databases and data representation High degree of knowledge in platforms, such as Google Cloud Platform (GCP), Microsoft Azure, or AWS Strong analytical and problem-solving skills, with strategic thinking and business acumen to translate business challenges into data solutions and align them with industry trends and business objectives Excellent communication and data visualization skills, with the ability to present complex data insights clearly and effectively to non-technical stakeholders Curiosity, continuous learning, and adaptability, with a focus on staying updated with the latest advancements in data science and AI and applying new knowledge to projects Exhibits ownership, candor, and conscientiousness in their work Demonstrates diligence when analyzing data and building models to ensure accuracy and reliability Leadership and mentoring skills, with strong people skills to foster collaboration and effective communication within cross-functional teams Proficiency in advanced statistical analysis, including regression analysis, time series analysis, and hypothesis testing Project management skills, with the ability to manage multiple projects and deliver results on time Relevant qualifications: Bachelor's degree in Statistics, Business Analytics, Data Science, or a related field. 4-7 years of experience in Data Science, Machine Learning, or a related field. Experience should include direct work with data analysis, predictive modeling, and machine learning . Preferred education and experience: Graduate degree (master's or PhD) in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field, with relevant expertise in data science and AI approaches Experience with event-based data, such as GA4 Experience with standard steps of model development and deployment processes, including end-to-end development, and demonstrated ability to lead complex projects and provide strategic guidance Experience mentoring more junior colleagues and working in diverse industries, subject areas, and team sizes Experience applying data science to marketing and advertising problems, with specialization in areas such as natural language processing, computer vision, or deep learning Preferred skills and abilities: Experience with agile data science development and end-to-end model development, from data collection and preprocessing to model deployment and monitoring Translating model insights into activation and experiments Knowledge of data governance, compliance standards, and data ethics, ensuring compliance with relevant regulations and privacy considerations Experience with A/B testing and experimental design Benefits: Hybrid work schedule. We work from home two days a week! Comprehensive benefits package, including medical, dental, and vision insurance 401(k) plan with matching employer contribution 22 days of vacation time 11 holidays, including your birthday Parental leave Significant tuition reductions Professional development is highly valued at ASU Enterprise Partners, where employees are encouraged to look across the organization and nurture new areas of interest $30 bi-weekly cell phone reimbursement At ASU Enterprise Partners: ASU Enterprise Partners is a nonprofit organization whose mission is to provide an ecosystem of services to create solutions and generate resources to extend Arizona State University's reach and advance its charter. ASU Enterprise Partners supports ASU and several affiliates, including the ASU Foundation for a New American University, ASU Outreach Hub, ASURE, NEWSWELL, Skysong Innovations and University Realty. ASU Enterprise Partners is home to several Centers of Excellence whose purpose is to provide professional services to its affiliates. The Centers of Excellence include Finance, General Counsel, Investments, Public Relations and Strategic Communications, Human Resources, Facilities and Operations, Data Analytics and Insights Planning, Budgeting and Strategy, and Technology and Solutions. At ASU Enterprise Partners We serve ASU and one another with integrity, trust and compassion We engage step up, own it, collaborate We innovate. continuously, fearlessly, make decisions and take risks We care that everyone feels respected and valued for who they are ASU Enterprise Partners is an Equal Opportunity Employer

Description What we're looking for: As a member of the Data Platform Engineering team, the Data Engineer II will work collaboratively to develop an infrastructure that ingests data from disparate sources, processes them real-time and routes them to various target storages and applications, while providing access to high quality data to users, ranging from application developers interested in specific events to data analysts keen on business intelligence to data scientists training ML models.. At AppFolio, we paddle as one. We ride and make waves together, with a relentless focus on building great products for the way our customers work and live today - and tomorrow. AppFolio is a destination organization where careers are made and accelerated. Here, innovation is a team sport. Your impact: Design, build and operate on next generation data pipeline infrastructure based on Apache Kafka and its ecosystem Improve data architecture, quality, discoverability and access policies to enable and enforce data governance Collaborate with engineers, data analysts and scientists to ensure that our data infrastructure meets the SLOs of our data-intensive customers Develop techniques for monitoring the completeness, correctness and reliability of our data sets Leverage agile practices, encourage collaboration, prioritization, and urgency to develop at a rapid pace Research, share, and recommend new technologies and trends Qualifications You have hands-on experience with using Apache Kafka in production and have a passion for building a reliable, scalable and fault-tolerant infrastructure. You have industry experience with working with real time transformation technologies such as Apache Flink You have worked with a variety of data sources, including change data capture systems, data streaming and event sourcing in production. You have hands-on experience with data warehouse technology, particularly with Snowflake. You embrace the platform-first approach to build standard solutions and self-serve capabilities for engineering teams You want to work with a high degree of autonomy, while at the same time working on initiatives of high importance to the company. You care about work-life balance and want your company to care about it too; you'll put in the extra hour when needed but won't let it become a habit. Must have 3+ years of experience with Apache Kafka, Kafka Connect and its ecosystem 2+ years of experience in streaming processing technologies, such as Apache Flink 2+ years of experience with AWS primitives (IAM, VPC, S3, MSK, EKS, etc.) 3+ years of experience working with programming languages like Python or Ruby Excellent SQL skills with working knowledge of query optimization 2+ years of experience working with Infrastructure as Code, configuration management, and monitoring tools. Bachelors in Computer Science or other quantitative fields. Nice to have Experience with Debezium connectors Experience with large scale Data Lakes and Lake Houses, especially with Apache Iceberg is a plus Experience with distributed SQL query engines, such as Trino is a plus Experience with containers and container orchestration tools. Docker and Kubernetes experience is desirable. Data science skills for analyzing data and communicating with ML engineers are a plus. Compensation & Benefits The base salary/hourly wage that we reasonably expect to pay for this role is: $104,000 to $130,000. The actual base salary/hourly wage for this role will be determined by a variety of factors, including but not limited to: the candidate's skills, education, experience, etc. Please note that base pay is one important aspect of a compelling Total Rewards package. The base pay range indicated here does not include any additional benefits or bonuses that you may be eligible for based on your role and/or employment type. Regular full-time employees are eligible for benefits - see here. #LI-KB1 About AppFolio AppFolio is the technology leader powering the future of the real estate industry. Our innovative platform and trusted partnership enable our customers to connect communities, increase operational efficiency, and grow their business. For more information about AppFolio, visit appfolio.com. Why AppFolio Grow | We enable a culture of high performance, where delivering results is recognized by opportunities for growth and compelling total rewards. Our challenging and meaningful work drive the growth of our business, and ourselves. Learn | We partner with you to realize your potential by investing in you from the start. We're cultivating a team of big thinkers through coaching and mentorship with our best-in-class leaders, and giving you the time and tools to develop your skills. Impact | We are creating a world where living in, investing in, managing, and supporting communities feels magical and effortless, freeing people to thrive. We do this by innovating with purpose while cultivating a culture of impact. We learn as much from each other as we do our customers and our communities. Connect | We excel at hybrid work by fostering an environment that feels flexible, personal and connected, no matter where we are. We create space to fuel innovation and collaboration, and we come together to celebrate, connect, and succeed. Paddle as One. Learn more at appfolio.com/company/careers Statement of Equal Opportunity At AppFolio, we value diversity in backgrounds and perspectives and depend on it to drive our innovative culture. That's why we're a proud Equal Opportunity Employer, and we believe that our products, our teams, and our business are stronger because of it. This means that no matter what race, color, religion, sex, sexual orientation, gender identification, national origin, age, marital status, ancestry, physical or mental disability, or veteran status, you're always welcome at AppFolio. By submitting this form, I acknowledge I have reviewed AppFolio's Privacy Policy.

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