Top Senior Data & Analytics Jobs in Philadelphia, PA

The Principal Data Architect leads technical and business discussions on architecture direction, participates in enterprise strategic development, and manages architecture governance while aligning architectural requirements with IT strategy and business goals.

The Data Strategy Manager will lead projects to deliver data strategy solutions in Life Sciences, manage client relationships, and mentor team members.

The Data Modeler will design and maintain data models, support data architecture, collaborate with product teams, and ensure quality and governance of data products.

Lead statistical activities in oncology studies, employing innovative statistical methods to guide development decisions and ensure regulatory compliance.

The Vice President, Data Analyst & BI will develop data analytics strategies, enhance business intelligence capabilities, mentor junior analysts, and ensure data integrity and governance.

As an MDM Architect, you'll lead the design and delivery of Master Data Management solutions, manage teams, and engage with clients to translate business needs into data strategies. Your role includes hands-on configuration with leading MDM platforms and overseeing data integration across systems.

The Data Privacy Product Owner establishes the Data Privacy Platform, defines operational models, and manages product vision for data privacy capabilities including PII discovery and data retention.

Looking for a Senior Business Analyst to gather requirements, collaborate with technical teams, and lead testing efforts, ensuring documentation and relationships are maintained with business teams.

The Senior Principal Real-World Analyst will lead RWE studies using diverse data sources, apply advanced methodologies, and ensure high-quality outputs while collaborating with team members.

The Director, Data Science will lead analytics for clinical trial feasibility and study planning, develop insights, and improve decision-making processes. They will manage a team, optimize analytics delivery, and ensure data quality while collaborating with stakeholders.