Top Data Management Jobs

The Enterprise Data Engineering Manager will lead data implementations and architecture, establish frameworks, and mentor teams to deliver scalable data solutions.

The Principal Data Analyst partners with leadership to translate data into insights, drive strategic decisions, and enhance operational efficiency through advanced analytics and Power BI expertise.

Lead and manage data delivery activities including databases, pipelines, ETL, cloud architectures, and geospatial data. Provide technical project management, quantitative analysis and visualizations, secure data and systems, mentor a team, and apply software, automation, and AI principles to solve complex problems for a government client.

Lead DR and GP&T commercial data strategy and execution, drive governance, data product readiness, and AI-enabled initiatives. Partner with commercial, product, technology, and risk stakeholders to build reusable data capabilities, strengthen controls, improve data quality/lineage, and translate data investments into measurable commercial outcomes.

Senior individual contributor leading regional execution of master data governance, quality, and stewardship. Drives data standards, remediation, integrations, MDM platform support, stakeholder alignment, compliance reporting, and large-scale data remediation across ERP/CRM/analytical systems.

Lead analytics for Paid Media strategy: design and deploy audience segmentation, ML models, and experimentation to optimize targeting, personalization, and digital acquisition. Apply emerging AI/GenAI techniques, collaborate cross-functionally to implement scalable data products, measure performance, and communicate insights to stakeholders.

Lead and grow a data platform engineering team to design, operate, and migrate to a modern cloud lakehouse. Own platform roadmap, ingestion frameworks (batch/CDC/API), CI/CD, observability, cost/performance, vendor delivery acceptance, and legacy decommissioning while enabling self-service platform patterns.

As a Senior Data Steward Manager, you'll oversee data management and governance, ensure data quality, and work with cross-functional teams to meet data standards.

The Forward Deployed Product Manager engages with clients to understand their needs, translates data requirements, and drives product adoption and strategy to maximize data value.

Lead regional execution of master data governance and quality programs. Define standards, resolve complex data issues, drive remediation and integrations, support MDM applications, mentor stewards, and enable enterprise reporting and transformation initiatives.

Lead a team to build repeatable reports, dashboards, and scorecards; ensure data integrity; provide BI support; collaborate with cross-functional stakeholders; design and manage A/B and multivariate tests; manage project communications and deliverables.

Lead and grow a team of data engineers and analysts, own the data platform roadmap, design and operate reliable data pipelines across streaming, APIs, and various stores, set on-call and production monitoring practices, remain technically hands-on, and drive cross-functional collaboration to deliver analytics and infrastructure work.

Lead development and improvement of quality systems in manufacturing and lab operations; oversee data integrity, validation, and quality relationships with suppliers.

The Senior Clinical Data Manager oversees clinical trial databases, mentors junior staff, and ensures data quality and compliance with regulatory standards.

Build and own HRBP analytics: deliver dashboards, predictive models, ROI and program evaluation, AI-enabled workflows, data storytelling for executives, and scalable reporting systems while partnering with HRBP Operations and stakeholders.

Lead solution/data architecture for end-to-end enterprise data warehouse implementations including data integration, ETL, data marts, reporting, cubes and MDM. Design architectures using frameworks (Zachman/TOGAF), guide implementation teams, and apply healthcare payer domain expertise. Work with Oracle/DB2/SQL Server and major ETL/BI tools to deliver large-scale reporting and analytics solutions.

Lead implementation of a data governance strategy and roadmap for consolidating source systems into a centralized data warehouse. Define master data, business rules, reference data, and data stewardship processes; publish policies; improve data workflows and quality; enable BI/analytics and provide technical leadership to Tech Ops.

The Clinical Data Manager oversees the quality and integrity of clinical trial data, ensuring compliance with protocols and regulations while collaborating with various teams.

Lead marketing data automation and reporting efforts: build and maintain Power BI dashboards, automate reporting, integrate marketing and insights data, support AI data-readiness, and partner with Marketing, Finance, and Insights to deliver actionable analytics for planning and post-event analysis.

Lead data governance activities including policy, retention, access, quality, and audits. Drive CEDS implementation, oversee external data requests and training, manage master data calendar, support budgeting, reporting and strategic planning, and maintain the Office of Data Governance website while coordinating with stakeholders and governance boards.

Lead and manage BI and Big Data projects with strong project management, AWS, Datastage and DB2 expertise. Collaborate in a global delivery model, apply analytical skills, communicate with stakeholders, and deliver enterprise data solutions.

Lead development and implementation of a companywide data governance program: define governance standards, data definitions, business and quality rules, and data accountability. Manage business participation, review and improve operational processes, ensure effective management controls, lead engagements, present findings to senior management, and maintain enterprise documentation in coordination with SVP/VP stakeholders.

As a Data Scientist, you will drive data-informed decisions at Anthropic by analyzing product usage, conducting causal inference, and collaborating across teams to enhance developer platform performance.

Lead and mentor a data engineering team, define technical vision and strategy, oversee data pipeline design, and collaborate with cross-functional teams.

Lead architecture and operations for the end-to-end data lifecycle: pipeline orchestration, dbt projects, cloud warehouse performance, dimensional modeling, data observability, HIPAA controls, and platform governance. Mentor a distributed data engineering team, partner with Analytics and Finance, and prioritize durable platform capabilities that enable BI, experimentation, and AI use cases.