Top Data Management Jobs

Lead master data management governance, define standards and mappings, approve data changes, audit mappings, manage a team of mapping specialists, collaborate with stakeholders, and drive MDM project delivery and training.

Support partners in voter engagement by administering VAN and related tools, managing users/security, producing data pulls and visualizations, training partners on data hygiene and field tools, providing technical assistance, and coordinating with national and state data teams to maintain shared infrastructure and best practices.

Manage and lead a team of data engineers, oversee data pipeline development, ensure data quality, and support analytics initiatives in financial services.

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

The Master Data Manager leads master data strategy and governance, ensuring data quality and compliance across the organization, while managing a team and engaging stakeholders.

Lead architecture and delivery of Radiant's enterprise data platform and AI strategy. Own vendor evaluations for secure AI tooling, mentor engineers, coordinate with software teams, ensure Databricks-based integrations and dashboards meet ITAR/EAR compliance, and act as a hands-on technical leader.

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

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.

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.

The Manager of MDM leads projects for Master Data Management systems, working with teams to ensure successful client engagements in the pharmaceutical and life sciences sector.

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 Data Manager oversees the full lifecycle of critical data, ensuring high-quality integration and analytics. Responsibilities include data operations, assessment of sources, collaboration with developers, and support for rapid-prototype phases.

Manage client-facing data and analytics projects: define data strategy, build automation and ETL, develop visualizations and predictive analytics, drive transformation, manage scope/budget, and communicate findings to non-technical stakeholders while leveraging finance knowledge.

Lead a team of data engineers and analysts, define the data engineering roadmap, oversee data infrastructure, ensure analytics delivery, and establish data governance standards.

The position manages and evaluates data for the EHE initiative, analyzes data, develops dashboards, and collaborates on interventions to reduce HIV transmission.

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

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.

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.

Design and maintain Looker/LookML data models and dashboards, perform end-to-end SQL analysis, ensure data quality with Data Engineering, build predictive models, and translate findings into actionable recommendations for cross-functional stakeholders.

The role involves leading a team of analytics engineers to develop scalable data solutions for product metrics, ensuring data integrity, and fostering a culture of excellence in data-driven decision making.

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

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

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.