Top Data Management Jobs in Philadelphia, PA

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.

Lead a team of ~7 data scientists to deliver timely, accurate product analytics and experimentation insights; manage people, mentor staff, partner with product and engineering, and build accessible data products and measurement practices.

The Manager, Data Strategy leads client reporting and measurement efforts, ensuring accuracy and alignment with business goals while managing relationships and collaborating with internal teams.

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.

Lead a data science team to develop insights from autonomous vehicle data, create scalable platforms for data access, and collaborate with cross-functional teams on performance measures.

The Data Insights Manager uncovers insights from data, builds dashboards, collaborates across teams, and drives data-driven decisions to improve business outcomes.

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

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.

Design and manage curated fact and dimension datasets, semantic/subject-area models, and governance. Partner with BI and data engineering to enable self-service analytics, ensure data quality and documentation, and prepare datasets to support future ML and advanced analytics.

The Senior Manager, Performance Data Operations leads the Population Health Impact team, driving performance improvement initiatives, building complex datasets, and communicating insights to stakeholders. Responsibilities include data analytics, program management, and fostering cross-functional relationships.

The Data Product Manager will oversee the firmographic data foundation, improving data accuracy, structure, and analytics capabilities to enhance talent acquisition and analytics solutions for clients.

Lead a data science team to enhance Netflix's streaming product through analytics and experimentation, partnering with engineering.

Lead a data science team to drive consumer acquisition strategies and improve Netflix's signup processes through analytics, experimentation, and machine learning.

The Technical Data Manager will support NPI across product lines, manage data entry, and create Engineering Change Orders during product lifecycle.

Lead the Global Analytics team at Hitachi Vantara, driving data-driven decision making by managing data analysis projects and mentoring analysts.

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.

The Ecommerce Data Analytics Manager analyzes pricing, profitability, and marketing performance to optimize revenue and improve decision-making across the ecommerce business.

Lead the data management strategy and team to design, build, and maintain scalable ETL pipelines and data infrastructure. Implement data governance, ensure data quality, optimize performance using tools like Airflow, Iceberg, Trino, and Spark, and collaborate with cross-functional teams to make data accessible and actionable.

The Clinical Data Manager oversees clinical trial databases, creates documentation, reviews data, trains staff, and ensures compliance with regulatory standards.

The Senior Clinical Data Manager oversees clinical trial databases, mentors junior staff, and ensures data quality and compliance with regulatory standards.

Lead data initiatives, develop machine learning models, conduct analysis to improve programs, and collaborate with cross-functional teams to drive results for health insurance enrollment.

Lead the Engagement Data Warehouse team, owning the vision for data products and managing a team of data engineers. Drive data roadmap, engineering excellence, and foster team culture within data-intensive systems.

The Senior Manager in R&D Data Literacy & Monetization drives the strategic utilization of R&D data, transforms datasets into reusable products, and promotes data literacy across the organization, ensuring effective governance and promoting advanced analytics and AI initiatives.