Top Data Management Jobs in Philadelphia, PA

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

The Manager leads the Predictive Analytics and Data Science team, develops predictive models, and collaborates with cross-functional teams to drive data-driven solutions in healthcare.

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.

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.

As a Data Analytics Manager, you will lead a team to analyze data, drive strategic insights, manage projects, and optimize mobile app performance for top brands.

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

The Senior Manager, Data Strategy & Analytics will lead analytics across teams, translating data into actionable insights, building dashboards, and ensuring data quality.

This role manages the BI platform's day-to-day operations, develops analytics solutions, enhances capabilities, and partners with teams to fulfill reporting needs. Responsibilities include monitoring system performance, data governance, and ensuring data quality while delivering actionable insights to support business growth.

The Senior Manager of Data Engineering leads the enterprise data platform team, overseeing data processing, delivering solutions, and mentoring team members, while aligning technical strategies with business objectives.

The Advanced Data Analytics Manager will solve complex business problems, mentor analysts, and communicate insights to leadership using advanced analytics methods and stakeholder management skills.

Lead enterprise data governance strategy; ensure data reliability and compliance; establish governance councils and define policies; improve data quality and operationalize ownership; report governance metrics to leadership.

The Manager, Data Success Management oversees Data Success Managers, manages data operations, supports partners, improves workflows, and ensures data quality.

The Data Success Manager will source, collect, and manage data for partners, ensure data quality, and support campaign activity, requiring SQL and Python skills.

Manage a team of analysts for PBM analytics, driving insights and scalable data products. Partner with business leaders for effective reporting and analysis.

Lead data management for complex global clinical trials, ensuring quality and compliance while mentoring staff and driving process improvements.

The Data Insights Manager will design data pipelines, analyze large datasets, and collaborate across teams to provide actionable analytics for healthcare advertising.

The Senior Manager, Data Steward (AI) will lead data stewardship initiatives in Pharma R&D, ensuring data quality and governance while mentoring a team and collaborating across departments to enhance data usability for insights and compliance.

Lead the creation of analytics strategies, manage data pipelines and reporting solutions, and mentor data professionals while ensuring data usability and quality across the organization.

The position manages and evaluates data for the EHE initiative, analyzes data, develops dashboards, and collaborates on interventions to reduce HIV transmission.

The Clinical Data Manager will manage research databases, oversee EHR to EDC automation, ensure data quality, and perform statistical analyses.

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.