Top Senior Data & Analytics Jobs in Philadelphia, PA

Leads enterprise data strategy and architecture for Pfizer Global Supply and Enterprise Solutions. Owns target-state architecture, canonical data models, ontologies, data contracts, governance standards, trusted data product certification, and GxP data integrity. Builds and directs architecture and stewardship teams, chairs architecture reviews, aligns federated solution teams, and partners with enterprise data, AI, ERP, cybersecurity, and identity organizations. Requires senior stakeholder influence and deep experience in enterprise data architecture, regulated environments, manufacturing, quality, supply chain, and AI readiness.

Leads data analytics and automation solutions supporting global audit engagements, with a focus on information security, cybersecurity, and technology data. Responsibilities include designing scalable data products, performing ETL and statistical analysis, automating audit testing, creating reports, managing roadmaps, overseeing production processes, and coaching team members. Partners with audit leaders and business stakeholders to assess risks, controls, compliance, and opportunities for improved audit efficiency.

Leverage advanced analytics, data manipulation, visualization, statistical modeling, predictive analytics, and machine learning to generate client insights and recommendations. Apply Adobe Experience Cloud solutions to support business transformation and strategic decision-making. Build client relationships, manage and inspire teams, navigate complex engagements, uphold professional standards, and deliver quality outcomes while developing technical and consulting expertise.

As a Decision Analytics Consultant, you'll leverage RWD and RWE analytics to support pharmaceutical clients by generating insights and conducting analyses for evidence generation and HEOR studies.

Lead a team evaluating new and existing data assets, standardize due-diligence and analytical methodologies, validate data quality and business value, partner with Product and Technology to support onboarding and OneTru cataloging, establish governance and lineage standards, and coach team members to drive data-driven product and revenue decisions.

Leads the enterprise Data & Analytics organization, strategy, operating model, architecture, platforms, reporting, analytics, migration, integration, and governance. Oversees global teams building trusted, governed, AI-ready data foundations and enterprise reporting capabilities. Partners with executive and technology stakeholders to align investments with business goals, directs ERP and SAP data transformations, establishes data quality and stewardship standards, and manages organizational capacity, vendors, budgets, and delivery outcomes.

Leads the enterprise Data & Analytics organization, setting strategy and operating models across data foundations, architecture, analytics, migration, integration, and governance. Oversees global teams, enterprise data platforms, pipelines, reporting, SAP data initiatives, migration programs, data quality, metadata, lineage, and stewardship. Partners with executives and technology stakeholders to deliver trusted, governed, AI-ready data assets, improve reporting and analytics adoption, and align investments with business outcomes.

Owns client data projects involving payroll, HRIS, recordkeeping systems, data cleanup, conversions, testing, issue resolution, documentation, and stakeholder communication. Analyzes data inputs, validates accuracy, manages data requirements and timelines, and serves as the data subject matter expert across internal teams and external partners. Also supports process improvements, training, coaching, and special projects.

Develop and maintain recurring, ad hoc, management information, and client-facing reports for senior leadership, internal stakeholders, relationship teams, and clients. Partner with business stakeholders to gather reporting requirements, create reporting enhancements, streamline and automate processes, and maintain documentation covering methodologies, data sources, and procedures. The role requires strong Microsoft Excel skills and familiarity with Power BI and Tableau; SQL and data warehouse experience are preferred.

Lead solution onboarding and customized client delivery for alternative investment services. Translate business requirements into technical specifications, configure systems, manage reporting and file-extract projects, develop end-to-end test cases, oversee process improvements, analyze client requests, and coordinate with developers, QA, fund accountants, investor services, relationship managers, and external stakeholders.