Top Data Management Jobs

Lead the Consumer Data Engineering team to build and deliver Gold-layer data products within a GCP Medallion architecture. Manage onshore engineers and offshore partners, align technical roadmaps with business priorities (personalization, attribution, omnichannel), ensure architecture standards, enforce code quality and testing, and run agile delivery of data product features.

Manage the Data Science and Analytics team, develop data solutions, ensure data quality, and provide analytics support for business decision making.

The Manager of Data Engineering will oversee data engineering for an investment management firm, focusing on MS Fabric, Azure, and various data processing tasks.

Lead a remote US team that builds and operates ETL and migration processes to move legacy EHR data into athenahealth. Oversee Python-based tooling, define source-to-target mappings, ensure HL7/FHIR interoperability and EHI export compliance, drive data quality, automation, documentation, stakeholder alignment, and coach engineers.

Senior leader responsible for strategy, architecture, and execution of enterprise data engineering. Build and lead a 10-15 person team, design scalable data platforms and pipelines (cloud-native), drive governance, ensure AI/ML-ready data, manage delivery, vendors, SLAs, and M&A integration.

Lead and scale the enterprise data hub: manage the data warehouse, build reliable ingestion and transformation pipelines, implement governance and data modeling best practices, deliver GTM-ready metrics, enable AI/ML use cases, prioritize the data roadmap, and lead/mentor a data engineering team.

As a Curriculum Manager, you will manage the content development lifecycle, collaborate with instructors, and improve data science curriculum, ensuring technical accuracy and pedagogical effectiveness.

Lead enterprise data management including governance, data quality, MDM, cataloging, and controlled distribution. Own policies, stewardship, MDM workflows (Reltio/SAP), vendor relationships, and metrics to improve master data trust, reduce duplicates, and enable faster onboarding. Coach stewards, partner with engineering/BI, and support audit, privacy, and compliance.

Manage and improve school data systems and protocols (PowerSchool, SWIS), configure reports, define operational metrics, perform cross-system analysis, produce scheduled and ad-hoc reports, develop training and SOPs, and coordinate with leadership and compliance teams to improve operations.

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 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.

The Clinical Data Manager oversees data management activities for clinical trials, including designing case report forms, quality assurance, and collaborating with project teams and vendors.

Lead data strategy, governance, and BI for marketing/media campaigns. Coordinate cross-functional teams, ensure data quality and harmonization, manage projects and campaign oversight, drive automation and mentor staff to optimize reporting and performance.

Lead data strategy, governance, and BI for marketing and media campaigns. Liaise across digital, analytics, and offshore teams; manage projects, ensure data quality, harmonize datasets, automate processes, and mentor team members to improve campaign tracking and reporting.

Lead development and execution of scalable data strategies, governance, and BI for marketing campaigns. Oversee data quality, ETL, campaign tracking, and reporting; coordinate cross-functional and offshore teams; drive automation and process improvements; manage projects and mentor team members to ensure optimized campaign delivery and performance.

Lead development and governance of marketing and media data solutions. Oversee data quality, ETL/data warehousing, campaign tracking, BI reporting, automation, and cross-functional project delivery while mentoring team members and liaising with internal and external stakeholders.

Lead data strategy, governance, and BI for marketing and media campaigns. Manage cross-functional stakeholders and offshore teams, oversee data quality, ETL, campaign tracking, and automation, and mentor staff to ensure accurate reporting and optimized campaign performance.

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.

Lead end-to-end delivery of credit card pricing and profitability analytics, partner with senior business stakeholders, manage client engagement, oversee model development/validation/implementation, mentor offshore analytics teams, and collaborate cross-functionally to deliver scalable solutions and governance.

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.

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

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.