Top Data Management Jobs

The Data Analytics Manager will collaborate with Commercial Lines leaders, manage the Global Data Warehouse, and drive data insights for effective decision-making.

This role involves leading the Data & AI team, building modern data platforms using Microsoft technologies, overseeing project delivery, and mentoring team members while engaging with clients.

The Manager for Data Engineering will lead the Data & AI team, focusing on building modern data platforms, providing mentorship, and overseeing project delivery using Microsoft technologies.

Manage and lead a cross-functional team supporting data and analytics platforms, production pipelines, and applications. Define and track operational KPIs, drive process improvement and automation, manage staff performance and career development, engage with business units, and present results to senior leadership to ensure timely, on-budget delivery of data engineering and operations outcomes.

Lead a cross-functional data engineering team to build and operate secure, scalable data pipelines and analytics infrastructure across Azure, AWS, and Snowflake. Drive spec-driven and AI-augmented development workflows, ensure architectural and security compliance, partner with product and platform teams, and mentor engineers into AI-assisted practices.

Lead ESG data governance and controls to produce audit-ready sustainability disclosures. Build and scale impact accounting models, perform reconciliations and variance analysis, partner with Data & Analytics to create dashboards (Tableau, Snowflake), and manage finance-grade reporting for CSRD and IFRS S1/S2 across global teams.

Manage student information systems and lead data analysis and reporting (attendance, discipline, achievement). Coordinate state and interim testing, complete all school data reporting, train staff on systems and testing procedures, and collaborate with curriculum leaders to use data to improve instruction.

Lead enterprise master data governance and quality across Customer, Material, Vendor, Product, and Business Partner domains. Define strategy, operating model, and roadmap; manage and mentor a team of Master Data Analysts and Stewards; act as SAP MDG/S4HANA subject-matter expert; drive data quality KPIs, automation, stakeholder alignment, and organizational change to embed data stewardship and enable digital transformation.

Lead and grow a data engineering team to design, build, and operate scalable, cost-efficient data lakehouse pipelines and infrastructure. Define technical strategy, enforce engineering best practices (CI/CD, testing, monitoring), own roadmap and capacity planning, collaborate with product and engineering stakeholders, manage on-call and operational automation, and hire talent. Ensure data governance, lineage, and compliance in a regulated healthcare environment.

Lead vision and roadmap for master and reference data products across the data lifecycle. Collaborate with engineering, analytics, governance, and business partners to define MDM/RDM best practices, use SQL to profile data, translate business needs into data product requirements, guide delivery teams, troubleshoot production issues, and drive data quality, metadata, and governance initiatives.

Lead and implement enterprise data governance across SAP and non‑SAP systems: define frameworks, metadata, lineage, data quality rules, business glossary, and ownership; run workshops, support MDM and compliance, resolve data issues, and deliver Power BI reporting and governance metrics to improve data visibility and decision-making.

Lead data governance for data products by implementing policies, managing the enterprise data catalog, defining data quality rules and SLAs, collaborating with pipeline teams to embed governance, mentoring junior analysts, and maintaining governance documentation to ensure trusted, discoverable, and mission-ready data assets.

Lead and mentor a team of data governance analysts to operate the enterprise data catalog, monitor and remediate data quality, build governance dashboards (Tableau/Power BI), partner with data stewards to document business terms and lineage, and report governance status to leadership.

Administer and maintain CRM and data systems (EveryAction, Salesforce, BigQuery, CARTO), respond to staff and affiliate data/tech requests, ensure data quality and de-duplication, create and deliver training materials, build network capacity, manage vendor/consultant relationships, and travel occasionally for in-person trainings and support.

Lead and manage a team building and operating enterprise data pipelines, warehousing, and integration solutions. Oversee data architecture, ETL, data quality, governance, BI support, vendor selection, and cross-functional collaboration to ensure reliable, scalable, and secure data for business reporting and decision-making.

Manage operations for client engagements in the life sciences sector, leading projects, enhancing data processes, and developing data-driven solutions while maintaining client relationships.

Lead and manage data science teams to build models and drive business solutions; oversee compliance analytics and ensure data quality.

The Data Engineering Manager leads a team delivering technology solutions, implementing data strategies, guiding technical projects, and ensuring data performance and reliability for analytics and reporting.

Lead and develop data engineering leadership and teams to deliver scalable enterprise data products and platforms. Own product lifecycle, roadmap, and execution; design scalable pipelines and frameworks; enforce data quality, governance, and observability; partner with stakeholders to align data strategy to business outcomes; evaluate and implement modern data technologies; drive adoption and reliability across domains.

Lead development and deployment of manufacturing business systems and data solutions (MES/ERP, analytics, visualizations), ensure Make data integrity, support Next Generation MES/ERP rollouts, drive cross-site standardization, troubleshoot systems, liaise with Ops/Engineering/Quality, manage roadmap and capital requests, and develop the BSDS team.

Lead analytics initiatives for Mattel's DTC ecommerce business: design advanced analyses and models, build scalable reports and dashboards, define measurement and experimentation frameworks, partner with engineering and cross-functional teams, and mentor analysts to drive data-driven growth.

Lead analytics and reporting for DTC channels, develop dashboards and quality metrics, ensure data integrity, support vendor oversight, and drive performance improvements using data tools and quality processes focused on Medicare sales.

Lead enterprise data governance, quality, MDM, cleansing, validation, reconciliation, and migration efforts to support ERP implementations and large transformation programs. Develop governance frameworks, coordinate data readiness and testing, produce executive reporting and presentations, manage project plans and governance artifacts, and drive stakeholder alignment and change management.

Manage, clean, and analyze program datasets to support the TARS program. Produce dashboards and reports (Excel, Power BI, Tableau), ensure data quality and governance, develop SOPs, support audits and ad hoc requests, and collaborate with stakeholders to inform decision-making.

Lead design and build of data transformations between SAP (ECC and S4) and Kinaxis using Talend, maintain legacy and S4 extracts, support Kinaxis-to-SAP closed-loop files, participate in integration testing and PI planning, drive continuous improvement and ensure data availability across S4/IBP implementation rollouts.