Top Data Management Jobs

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.

Manage data analysis and visualization tools for the Kroger sales team. Develop reporting, create data visuals, and provide insights to drive performance.

Responsible for leading master data application management services, managing incidents, coordinating between teams, ensuring quality delivery, and communicating with stakeholders.

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.

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 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.

Oversee design, build, and maintenance of data pipelines and architectures, ensuring data reliability and supporting analytics and reporting needs.

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 a team of data architects and governance professionals to define and enforce enterprise dimensional modeling and governance standards. Ensure semantic consistency, metadata and lineage completeness, drive adoption of catalog tooling (e.g., Atlan, Unity Catalog), and embed governance into data engineering workflows to support reliable analytics and Tableau reporting.

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.

Lead a team of analysts to collect, process, model, and analyze data; deliver reports and executive-ready insights; manage request prioritization; run cross-functional analytics projects; identify trends and continuous-improvement opportunities; recruit, train, and supervise analysts.

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 generating insights from large datasets, leading behavioral experiments, and managing collaborations to translate research into practice for health promotion.

The Senior Manager, Data Lakehouse leads operations of UMGC's enterprise data strategy, focusing on the Databricks platform, team management, and cross-functional collaboration for analytics initiatives.

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.

The SAP Data Manager will lead data migration for SAP S/4HANA implementation, ensuring data quality, management, and successful migration across all phases and domains.

The Data Analytics Manager leads a team to enhance data analytics capabilities, driving growth and improving member experiences through data insights and governance.

The Manager, Data Analytics & Investigations will enhance compliance programs using data analytics, audits, and investigations, ensuring regulatory adherence across departments.

The Manager, Data Science - Oncology will lead data engineering initiatives, optimize workflows, and support data projects, specifically in Oncology R&D. Responsibilities include developing data pipelines, managing a technical team, and collaborating with stakeholders to deliver data solutions.

The Senior Manager, Data Operations will lead data services, manage a team, drive data initiatives, and collaborate across departments to enhance data-driven decision-making.

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