Top Data Management Jobs

The Manager, Data Analytics & Strategy will lead data projects, design measurement frameworks, and provide actionable insights to shape client outcomes by applying advanced data analysis techniques and overseeing the development of client-facing deliverables.

The Manager, Data Analytics will lead analytical initiatives to optimize ecommerce performance, mentor team members, and drive data-driven insights for business growth.

Manage and develop a team of Data Analysts, oversee analytics deliverables, partner with cross-functional teams to deliver insights, and implement BI tools.

The Senior Data Manager interprets and analyzes data, creates dashboards, maintains data quality, and oversees data strategy implementation.

Lead analytics and optimization for media campaigns, serve as primary client contact for data-driven decisions, design experiments (A/B, incrementality, geo-tests), deliver measurement and reporting, and collaborate with analysts, data scientists, and engineers to optimize multi-channel media performance.

Lead projects to enhance customer experience, oversee data operations, and implement marketing strategies while analyzing market needs and insights.

Lead a team of Data Scientists and Analysts, developing AI and data-driven solutions, driving analytics insights, and fostering collaboration across teams.

Partner with stakeholders to design, build, and deliver analytical projects, dashboards, data pipelines, and visualizations. Write queries and workflows, own projects end-to-end, and improve automation and delivery across global teams.

Lead and deliver data-driven commercial analytics projects for life sciences clients, design/implement data platform and ETL solutions, analyze data and present insights, manage client relationships and project teams, mentor junior staff, and contribute to business development and internal data warehouse initiatives.

Lead data platform strategy and architecture, scale Spark-based ETL/ELT pipelines, improve reliability and cost efficiency in an AWS environment, strengthen governance and lineage, modernize ingestion (Fivetran), and mentor engineers while delivering production-grade data solutions for analytics and AI.

Manage and mentor a team of data scientists and engineers, guide development and delivery of ML/AI solutions, ensure best practices, collaborate with stakeholders, and align data science work with business objectives.

Lead and grow the Product Analytics Engineering team to build scalable data pipelines, models, and marts. Partner with Product, Data Science, and Engineering to deliver reliable product metrics, SLAs, and self-serve analytics, while mentoring engineers and setting technical strategy for product data foundations.

Manage a team of ~7 data scientists to deliver experimental design, product analytics, and actionable insights. Partner with product, engineering, and research to build measurement, data products, and reporting; ensure data accuracy, timely delivery, and best practices.

Lead a team of ~7 data scientists to deliver accurate product analytics and experimentation insights. Manage people, mentor staff, partner with product and engineering to build accessible data products, and improve measurement, reporting, and experiment practices to inform product decisions.

Lead a team of ~7 data scientists to deliver timely, accurate product analytics and experimentation insights. Manage people, partner with product and engineering, improve measurement and data products, and ensure rigorous large-scale analysis to inform product decisions.

Lead a Product Analytics data science team to deliver timely, accurate insights for product decisions. Manage ~7 data scientists, mentor teammates, partner with product and engineering, develop experimentation and measurement best practices, and build accessible data products and reports.

Lead a team of ~7 data scientists to deliver timely, accurate product analytics and experiments; support product teams, build accessible data products, mentor staff, and improve measurement and reporting practices.

Lead a team of ~7 data scientists to deliver timely, accurate product analytics: guide experimentation, partner with product and engineering, build accessible data products, mentor staff, and improve measurement and reporting practices to inform product decisions.

Lead a team of product analytics data scientists to deliver timely, accurate quantitative insights for product strategy, experimentation, and measurement. Manage people, mentor staff, partner with product and engineering to build accessible data products, and improve experimentation and reporting practices to inform decisions across the Foundation and movement.

Manage Unity Audience Hub lifecycle: integrate and model first-party data, build audience segments, support sales with measurement and insights, run clean-room collaborations, and drive cross-platform campaign measurement and reporting.

The Senior Manager leads modernization of data engineering capabilities, ensuring reliable and scalable data systems while managing a team of data engineers to deliver impactful data products.

The role involves managing data automation and visualization processes, designing programming blueprints, and collaborating with teams to improve business operations.

The Manager of Data Management & Visualization will automate processes, manage teams, design programming solutions, and engage stakeholders to improve data products.

The Data Partnerships Manager at Livewire identifies and scales new data partnerships, manages full partnership lifecycle, and collaborates to enhance audience capabilities while ensuring privacy compliance.

Lead scaling of a commercial channel data management platform for oncology/hematology. Manage vendor and data provider relationships, design data pipelines and governance, improve data quality, oversee data aggregation and provisioning for commercial insights, and ensure compliance, security, and documentation.