Top Data Management Jobs

Manage delivery of complex data pipelines in a hands-on role, leading a team of data engineers to develop scalable data solutions and improve analytics capabilities.

This role leads the development of consumer data models and AI reporting solutions, ensuring data consistency and governance while enabling self-service analytics across the organization.

The role analyzes large datasets from various platforms to identify trends and inform decisions in artist growth and marketing strategy.

The Research Data Manager oversees research datasets, quality assurance, compliance with HIPAA, and collaborates with clinical researchers to ensure effective data management.

Lead a team of data scientists to enhance patient experiences through data insights, predictive modeling, and analytics for healthcare solutions.

Provide technical leadership for Data Engineering and Systems Integration on Microsoft Fabric/Azure. Define data warehouse and ELT standards, data modeling, governance, and integration architecture for Shopify Plus and SaaS platforms. Lead and mentor a DBA, Data Engineer, and Integration Engineers, review technical designs, optimize platform resources, and act as technical escalation for complex integration and data flow challenges.

Lead delivery pods for enterprise data governance and ADS architecture: design target-state ADS, document data lineage, implement aggregation-layer controls, conduct SME interviews, translate policy into delivery plans, manage analysts, select governance tooling, and report KPIs to senior stakeholders.

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.

Manage biographical data integrity for AA&D CRM (Advance): oversee scheduled data projects (graduation conversions, NCOA, voter files), design batch imports/exports, run data cleaning and QA, build queries/reports with SQL and BI partners, test changes, supervise one direct report, and collaborate across teams to improve processes and leverage AI/RPA for efficiency and accuracy.

The Exposure Data Manager leads analytics to understand exposure patterns, enforces data standards, ensures data quality, and collaborates across departments for effective exposure management.

The Data Product Manager will lead cross-functional teams to create high-impact data products, translate business needs into technical requirements, and manage product roadmaps. Responsibilities include collaborating with stakeholders, optimizing product performance, and ensuring compliance with industry standards.

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

Manage and grow a data engineering team, overseeing the design and maintenance of data platforms using Snowflake, dbt, and Azure. Drive best practices in data management and ensure reliable data movement and quality.

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

This role involves leading a team in managing the CCC data platform, overseeing database engineering, vendor relationships, and operational objectives while leveraging AI to enhance efficiency.

Lead implementation of data governance across the Enterprise Data Platform and DOHMH. Manage DGIU staff and the Open Data Coordinator, create policies, workflows, training, and project plans, align governance with legal/privacy requirements (e.g., HIPAA), collaborate with IT and BDTS teams, and ensure compliance with open data laws and data access controls.

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.