Top Senior Data Management Jobs

The Senior Manager, Data Analysis will validate business impacting analytical tools, assess methodologies, coach junior staff, and execute validation projects.

Lead acquisition, cleaning, validation, storage and protection of datasets to support reporting and analysis. Design and execute data architectures, policies and ETL pipelines (SSIS, ADF) using cloud platforms (Azure Synapse, Snowflake, Databricks). Deliver dimensional models, visualizations, and lifecycle governance to make complex data accessible and drive business insights.

Manage video-language data projects, collaborate with external partners, ensure data quality, and work cross-functionally with teams to advance data operations.

The Manager will lead a team in analyzing engagement trends and audience behavior to drive strategic insights for content optimization, working with various stakeholders and mentoring technical analysts.

The Senior Manager, Data & Analytics designs and implements data solutions, manages projects, and partners with clients to drive transformation initiatives using analytics and AI/ML.

The Manager R&D Data Steward oversees data governance, quality management, and stewardship of R&D data, ensuring compliance and integrity across data products and leading a team to support data management initiatives.

As a Senior Manager, R&D Data Steward, you will oversee stewardship of Pharma R&D data, ensuring data quality and compliance across the R&D value chain. You will lead a team, operationalize data governance, and drive improvements in data management processes, leveraging automation and cross-functional collaboration to enhance data-driven insights.

Lead and mentor a data engineering team, define technical vision and strategy, oversee data pipeline design, and collaborate with cross-functional teams.

The Data Product Manager defines the reporting roadmap, manages KPI alignment, collaborates cross-functionally, ensures data quality, and leads continuous improvement in analytics processes.

The Manager leads business intelligence and data operations, establishes KPI governance, oversees executive reporting, and ensures data-driven decision-making across teams.

Lead enterprise master data strategy, governance, and database architecture. Drive MDM implementations, data integration, quality, automation, change management, and stakeholder training while mentoring team members.

Lead delivery, support, and continuous improvement of enterprise reporting, dashboards, and analytics using Power BI and Microsoft Fabric. Partner with executives and business process leaders to define KPIs, enforce reporting governance and data quality, mentor analysts, manage cross-functional analytics projects, and drive analytics adoption and operational transparency.

The Operations Data Analytics Manager will support strategic operations and supply chain initiatives by solving problems, analyzing data, and collaborating across teams to provide insights for decision-making and project alignment.

The Sr. Manager of Data Strategy and Reporting oversees data collection, analysis, and reporting for workforce programs, ensuring compliance and enhancing data usability, while collaborating with IT and various departments.

The Senior Manager will oversee operations across technology functions, lead strategic initiatives in Data & AI, and ensure effective management of technology projects and resources. Responsibilities include engaging stakeholders, identifying risks, and fostering continuous improvement within the team.

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

Lead Applied Data Engineering at HackerOne, developing high-performance data products and fostering collaboration while driving innovation and continuous evolution.

Lead science data and knowledge management at Audubon, enhancing data accessibility and usage across various scientific programs while collaborating with IT and Conservation Teams.

The Data & Analytics Manager leads data engineering efforts to support operations through data models, quality frameworks, and team management, ensuring accurate and reliable data.

Manage a team of data engineers, collaborate with product and analytics teams, set technical direction, and ensure data quality and compliance.

The Manager, Data Management will lead client engagements in the life sciences industry, focusing on project leadership, data processes, team management, and enhancing client relationships through analytical solutions.

Lead and scale the NFL's international managed data model by driving cross-functional alignment, overseeing program operations, translating club requirements into scalable data product requirements, ensuring data governance and privacy compliance, and establishing standardized processes for reliable onboarding, curation, fulfillment and reporting.

Lead and develop a data engineering team to design, build, and operate Databricks-based, medallion-architecture data pipelines. Ensure platform reliability, performance, observability, data quality, governance, and support cloud migration efforts while partnering with cloud, architecture, and governance stakeholders.

Lead end-to-end EHS data programs: define scope, manage budgets and agile delivery, design data architectures, ensure data governance and compliance, build dashboards/automations (Tableau/Power BI), and mentor teams to deliver actionable environmental insights at scale.

Lead a data analytics team delivering statistical modeling and data science projects. Define standards, coordinate cross-functional analytics objectives, manage people and budgets, resolve complex issues, provide recommendations from detailed analyses, ensure timely, high-quality delivery, and maintain regulatory and ethical compliance.