Top Senior Data Management Jobs

Leads enterprise master data governance across customer, product, supplier, and transaction domains. Establishes data standards, architecture, quality metrics, systems of record, and warehouse structures. Partners with IT, analytics, and business leaders to enable reliable reporting, AI, customer segmentation, pricing, sourcing, and operational insights. Drives data cleanup, enrichment, continuous improvement, cross-functional governance, training, and data literacy while maintaining business ownership and accountability for enterprise information integrity.

Lead strategic analytics for marketing by building and deploying BI, predictive models, and reporting to influence senior leadership. Translate complex analyses into actionable recommendations, partner cross-functionally, identify market inefficiencies, advise on data acquisition, and support project delivery and stakeholder engagement.

Lead BI and analytics initiatives: design, build, and maintain dashboards, reports, data models, and automations using Power BI and SQL. Analyze financial and operational data to improve workflows and resource allocation, apply process-improvement methods, lead cross-functional projects, ensure data governance, provide training, and partner with leadership to deliver actionable insights.

Lead a team of data engineers supporting VALORANT to build scalable data infrastructure, set technical direction, ensure data quality and compliance, partner with analytics/product teams, optimize costs, and establish engineering best practices and tooling across Riot.

Lead a team delivering actuarial statistical reporting, regulatory submissions, and analytics. Ensure compliance with bureau requirements, drive automated reporting and UAT for policy/claims systems (Guidewire, Solartis), partner with actuarial, technology, and vendors, and manage stakeholder/regulator interactions while mentoring staff and improving data governance and reporting processes.

The Data Steward/Policy Manager leads data integration and governance efforts, manages teams for intelligence operations, drafts documentation, produces reports, and delivers presentations on data-related tasks.

Lead strategic initiatives by analyzing flight operations, maintenance, dispatch, and crew data to identify efficiency improvements. Monitor KPIs, perform root cause analysis, drive process improvements, collaborate cross-functionally, and prepare reports and presentations for senior leadership to inform operational strategy.

Lead and develop a team of data engineers while contributing hands-on to design, implement, and operate scalable, secure data pipelines. Partner with product, software, and architecture teams to deliver cloud-native data solutions, ensure production reliability, and drive engineering best practices and continuous improvement.

Lead and mentor a data engineering team to architect and implement scalable cloud lakehouse/warehouse solutions, design enterprise data models, build batch and real-time ETL/ELT pipelines, enforce data quality and governance, establish CI/CD and DataOps practices, and enable AI and advanced analytics.

Owns enterprise-wide customer data governance, master data management, data quality, standards, lineage, security classifications, and compliance. Leads customer data domain strategy, golden-record definition, quality analysis using SQL, issue resolution, governance initiatives, stakeholder communication, change management, and regulatory alignment. Partners across business, sales, marketing, legal, privacy, and technical teams while managing data catalogs, integrations, audit trails, and governance training.

Lead a team of data scientists to enhance infrastructure through data science, focusing on capacity planning, performance optimization, and customer experience.

Lead a team of data scientists to optimize Databricks infrastructure using data science for capacity planning, reliability, and performance improvements.

Lead the Data & Analytics Engineering teams, overseeing the end-to-end data platform and AI integration, while managing team growth and partnerships with business stakeholders.

Designs, builds, tests, and maintains software and data infrastructure for business-facing solutions. Develops CI/CD and DevOps practices, supports applications throughout their lifecycle, contributes to internal tools and standards, and collaborates directly with end users. Requires Python, SQL, large-scale data engineering experience, Azure and Databricks knowledge, and familiarity with Power BI, Copilot Studio, and AI tools.

Lead a team of analysts delivering strategic analytics and business intelligence solutions. Establish data quality, governance, documentation, KPI, and reporting standards; oversee reconciliation and complex analyses; guide visualization and analytics practices; evaluate tools and automation opportunities; manage the team roadmap and performance metrics; and coach analysts while partnering with executives and stakeholders.

Lead the architecture, roadmap, and delivery of Snowflake data platform capabilities, including ingestion, lakehouse and medallion architecture, identity resolution, foundational datasets, data quality, and customer 360. Manage and mentor data engineers while remaining hands-on with complex pipelines, data models, architecture, code reviews, and troubleshooting. Partner with business and technical leaders to prioritize initiatives, establish standards, evaluate tools, and support analytics, reporting, data science, and AI workloads.

Lead and mentor a team of data engineers to design, implement, and maintain scalable data pipelines, ensuring data quality and compliance with healthcare regulations.

Lead and manage preprocessing of overhead satellite imagery data pipelines, ensuring data integrity, QC, documentation, and customer-facing requirements. Oversee databases, ETL, cloud-based architectures, and geospatial file handling while mentoring team members and coordinating execution across the full data operations lifecycle to support intelligence missions.

Lead a small product analytics team to drive data-informed product decisions for Higher Education courseware. Define KPIs across commercial and learning outcomes, own instrumentation and telemetry, scale experimentation (A/B tests), surface discovery insights, govern data quality, and communicate findings to executives. Partner with product, design, and engineering to embed analytics as a product capability.

Owns end-to-end data strategy for an assigned domain supporting mobile app user experience. Translates product roadmaps into data requirements, maintains data roadmaps, prioritizes delivery, ensures dataset quality and governance, and partners with product, engineering, domain leaders, and executives to connect data initiatives with organizational outcomes.

Own supplier-side pricing, yield, monetization, retention, and churn analytics for a B2B marketplace. Build predictive models, data models, dashboards, cohort analyses, and A/B tests using SQL, Snowflake, dbt, and Looker. Partner with product, operations, engineering, sales, finance, and leadership to identify pricing and revenue opportunities, improve supplier retention, and translate marketplace insights into measurable business impact.

Own supplier-side pricing, yield, monetization, retention, and churn analytics for a B2B marketplace. Build scoring models, predictive machine learning models, dashboards, category and keyword data models, cohort analyses, and A/B tests. Partner with general management, product, operations, engineering, sales, finance, and customer success to translate marketplace insights into pricing, revenue, retention, and supplier engagement decisions.

Hands-on data engineering leader responsible for designing, building, deploying, and operating scalable data pipelines and platforms. Manages and mentors a team, provides architectural leadership across cloud-native and distributed data solutions, partners with stakeholders to translate business needs into reliable data products supporting analytics and AI/ML, and drives operational excellence and continuous improvement.

Manage CVS Health's data partnerships and monetization strategy, source new partnerships, ensure operational success, and drive data product adoption across analytics teams.

The IT Audit Senior Manager leads data-related audits, guides teams on corrective actions, analyzes audit results, and develops audit reports while addressing complex problems and mentoring colleagues.