Top Senior Data Management Jobs

Manages Stars data and analytics operations, including projections, data management, vendor performance, IT collaboration, and reporting. Leads departmental planning, staff development, budgeting, workload balancing, continuous improvement, special projects, and complex problem resolution. Supervises professional and non-professional employees while ensuring effective workflows, communication, and delivery of business objectives. Applies healthcare data expertise, analytical skills, and knowledge of HEDIS, CAHPS, HOS, Clinical Rx, and Medicare Advantage Stars programs.

Leads the design, delivery, and reliability of an enterprise data platform. Manages and mentors data engineers, oversees architecture and scalable pipelines, establishes engineering standards, and drives platform modernization. Responsibilities include incident response, monitoring, governance, security, AI-assisted development, automation, and GCP cost optimization. The role requires hands-on technical leadership across data modeling, cloud infrastructure, CI/CD, batch and streaming architectures, and stakeholder collaboration.

Lead a team to design, operate, and scale core data pipelines and analytics infrastructure. Ensure reliable ELT/ETL, dbt-based models, data governance, metric consistency, and cross-functional partnership to deliver trusted self-service analytics and measurable business impact.

Lead a team delivering enterprise-wide model risk reporting and AI-driven automation. Build and deploy scalable ML/AI solutions, conversational reporting, multi-agent workflows, and centralized data integrations. Drive analytics strategy, validate models and data, improve reporting and operational efficiency, and collaborate across business units.

Leads data and analytics consulting teams delivering enterprise data architecture, pipelines, analytical environments, data models, visualizations, and integrations. Responsibilities include hands-on SQL and Python development, project lifecycle leadership, stakeholder workshops, executive communication, risk mitigation, client support, mentorship, recruitment, and practice growth.

Establishes and operates North America Operations’ data-governance framework, including ownership, stewardship, quality, metadata, lineage, definitions, and AI governance. Partners with business, data, technology, risk, and compliance teams to resolve data issues, automate controls, improve trust, and embed governance into data products, analytics, and AI solutions. Develops playbooks, training, metrics, and continuous-improvement processes while driving accountability across functions.

Lead design and implementation of SAP MDM repositories and data models; configure MDM clients, import/syndication maps, workflows, web services and CLIX operations; develop and test integrations with upstream/downstream systems; produce technical specifications and unit tests; coordinate with data providers and stakeholders.

Design, build, and validate SAP MDM repositories and logical data models. Configure MDM clients (console, data manager, import/syndication managers), create import/syndication maps, workflows, matching rules, and DB views; perform CLIX and server-level operations, INI configuration, and interface testing. Liaise with data providers, subscribers, and downstream systems and lead the team.

Lead and grow a data engineering team, define data platform architecture and reliability (warehouse, ingestion, transformations, orchestration), set engineering standards, partner cross-functionally to support analytics and ML, and translate technical decisions for executive stakeholders.

The Senior Manager will lead cross-functional analytics projects, validate analytical tools, and mentor junior staff while driving data-based business strategies.

Lead and grow a Data Governance team to build and run governance programs: metadata standards, taxonomy, glossary migration, data catalog ownership (Atlan), asset certification, data quality observability, and stakeholder adoption. Act as subject-matter expert, enforce certification standards, arbitrate definitions, and apply AI tooling to scale governance work.

Lead a small data engineering team and own market data platforms from ingestion through delivery. Build and maintain KDB+/Q time-series systems, ensure data correctness, low-latency decoding, replay/recovery, and reliable distribution to downstream consumers. Write production code, review designs, improve observability, and prepare the platform for AI-driven consumers.

Leads cross-functional data management and analytics projects for pharmaceutical and life sciences clients. Responsibilities include data warehouse development, ETL and schema design, data analysis, process optimization, client communication, project management, business development, and mentoring junior staff. The role also provides strategic guidance, develops reporting solutions, manages timelines and resources, and contributes to internal data platform initiatives.

Leads Sensient’s global Business Intelligence practice and data strategy. Oversees BI, data warehousing, enterprise reporting, IT infrastructure, and reporting capabilities. Advises senior leadership, manages technology selection and implementation, coordinates infrastructure priorities, supports contract negotiations, and drives continuous improvement. The role leads IT teams and collaborates globally to turn complex data into actionable business insights while ensuring systems meet organizational needs, budgets, and timelines.

Leads research, data analysis, reporting, and data management for film and media incentive programs. Oversees data collection, validation, database maintenance, reporting systems, program evaluation, and industry research. Prepares executive briefings, reports, spreadsheets, and actionable recommendations; tracks production status and incentive structures; improves workflows and data quality; and supports strategic planning, policy analysis, stakeholder engagement, and cross-functional initiatives.

Leads Criminal and Housing Data Acquisition teams, overseeing vendors, data quality, compliance, staffing, KPIs, audits, training, reporting, and process improvement. Resolves escalated data issues, expands public-record coverage, and provides operational guidance while partnering with the Director of Data Acquisition. The role requires SQL Server, XML, HTML, reporting, criminal-record lifecycle, and team-supervision experience. Work is remote within the United States or office-based in Cleveland, with occasional overnight travel.

Manage secure, compliant data environments, including governance policies, data architecture, integration, quality, security controls, audits, and performance optimization. Lead data analysis, reporting, documentation, and cross-functional collaboration while mentoring junior staff. The role requires protecting sensitive or classified data, maintaining access controls and encryption, and ensuring compliance with government and organizational standards.

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 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.

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.

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.