Top Senior Data Management Jobs

Lead MDM policy, processes, and team to ensure accurate, consistent master data. Oversee data mapping, governance, stakeholder collaboration, change approvals, audits, and team training while reporting progress and managing resources.

Lead design, reliability, and daily operations of core data pipelines and analytics infrastructure while managing data and analytics engineers. Ensure scalable ELT/ETL, trusted dbt models, data governance, and cross-functional alignment with Analytics, Product, and Technology. Translate business priorities into technical roadmaps and promote best practices, monitoring, and documentation.

Lead BI, reporting, and data governance for insurance BPS. Manage call center/business managers, build enterprise Power BI solutions, ensure data integrity, drive KPIs, partner with Ops/IT/Finance, and deliver reporting modernization and audit‑ready governance.

The Data Specialist will manage BIM data integration and digital ecosystem strategies to support the LA28 Olympic Games, focusing on operational readiness and data-driven decision-making.

Lead design and maintenance of scalable data models, dbt transformations, and cloud data warehouses. Manage a distributed team of 7–8 data engineers/analysts, ensure data quality, governance, ELT best practices, performance tuning, integrations, and stakeholder alignment across servicing technology.

The Manager, Data Governance will lead the implementation of data governance strategies to support AI and analytics, ensuring data quality, compliance, and ownership while promoting data literacy across the organization.

Lead data-driven quality initiatives: build analytics, forecasts, dashboards, and automated tools using Power BI, Databricks, SQL, Python and DAX; manage data pipelines, governance, and quality systems; drive cross-functional projects, mentor analysts, and deliver actionable insights to improve product performance and customer satisfaction.

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.

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 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.

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 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 and mentor a data engineering team to deliver cloud-based data warehouse solutions. Drive architecture, code quality, CI/CD, source control, security, governance (SOX), and vendor coordination while implementing Snowflake, dbt, Matillion, Oracle, and SQL Server-based ELT/ETL pipelines.

Lead a data engineering team to develop and maintain data warehousing solutions, manage legacy integrations, guide architecture and vendor partners, deliver projects using Agile, monitor data quality and platform health, and engage stakeholders to align technical work with business needs.

The Manager of Data Analytics will convert data into actionable insights for Product, Marketing, Content, and Finance teams, balancing speed and accuracy while collaborating with stakeholders.