Top Senior Data Management Jobs in Philadelphia, PA

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.

Lead design and delivery of reusable, AI-ready data products and interoperable data-engineering artifacts for retail-banking portfolios. Manage data product lifecycles, ensure data integrity and governance, create self-service analytics, and align technology and business teams in a matrixed organization.

This role involves applying advanced data science and machine learning methods to healthcare data, leading teams, managing client relations, and developing analytics products for payers, while mentoring junior staff.

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

Lead design and build of ETL pipelines and Gold Layer tables in Databricks; develop semantic layers, data dictionaries, and AI-ready documentation; create dashboards and ad-hoc analyses to surface marketing and sales KPIs; partner with stakeholders to translate requirements into analytics-ready datasets and enable self-serve BI and agentic AI workflows.

Oversee data ingestion and transformation, manage finance data sources, ensure scalability and reliability of data platforms, and collaborate with stakeholders to align data engineering with organizational goals.

Lead the enterprise data platform strategy and architecture, driving Snowflake/dbt-based platform evolution, self-service Data Mesh and medallion models. Build AI-ready pipelines, RAG systems, and observability/cost frameworks while managing a central data team, supporting federated BI, and executing hands-on technical work.

Lead data-driven strategies and analytics at PwC, motivating teams to improve business performance and decision-making through advanced techniques and collaboration.

As a Manager in Data Governance at PwC, you will lead data governance strategies, supervise teams, manage client accounts, analyze data for decision-making, and ensure compliance with standards.

As a Senior Manager in Data Engineering, you will lead teams to design data architectures, develop data solutions, manage client engagements, and ensure compliance with data governance policies.

As a Senior Manager in Data and Analytics Engineering at PwC, you'll design data architecture strategies for healthcare, mentor teams, influence stakeholders, and enhance healthcare operations through data solutions.

Lead data engineering projects, develop and implement data pipelines and architecture strategies, manage data quality, and mentor team members at PwC.

The Manager, Data Management leads a firm-wide data management program, ensuring data quality and accountability across master data domains while partnering with stakeholders and managing staff.

Lead a data engineering team building and operating scalable data pipelines and platforms for personalized financial advice. Own delivery, engineering standards, observability, incident response, DataOps practices, and cross-team partnerships with product, analytics, and ML. Hire and develop engineers while enabling data foundations for ML and GenAI use cases.

Lead and manage a team of data engineers to develop and maintain data pipelines and warehouses, ensuring data quality and adherence to best practices.

Lead a team of data analysts to deliver dashboards, executive reporting, and workforce planning (capacity forecasting, resource allocation, utilization). Partner with Finance, HR, and Technology to align workforce strategy, maintain data governance, and drive AI/automation initiatives to inform senior leadership and optimize organizational performance.

Lead a CX analytics team to solve complex business problems using advanced analytics, modeling, and data visualization. Mentor analysts, build analytics roadmaps and OKRs, communicate insights to senior leaders, and operationalize repeatable analytics to free bandwidth for high-value work.

Lead and grow a team of data analysts to build scalable analytics and automation for Internal Audit & SOX. Translate stakeholder needs into analytical solutions, deliver actionable insights, manage cross-functional partnerships, track performance metrics, contribute to analytics strategy, and develop team capabilities to improve audit assurance and efficiency.

Lead acquisition, cleaning, validation, storage and protection of datasets to support reporting and analysis. Design and execute data architectures, policies and ETL pipelines (SSIS, ADF) using cloud platforms (Azure Synapse, Snowflake, Databricks). Deliver dimensional models, visualizations, and lifecycle governance to make complex data accessible and drive business insights.

Acquire, clean, validate, store, and protect data from internal and external sources; develop and execute data architectures, ETL solutions, and lifecycle policies; prepare data for reporting and visualizations; lead projects through design, coding, review and deployment; perform root cause analysis and translate business needs into technical requirements.

The Senior Manager of Data Insights will lead a team to optimize data sharing and governance, develop data strategies, and deliver actionable business intelligence across Docker's operations.

Support data-driven operations by sourcing, integrating, validating, and transforming data; build and maintain dashboards, agency scorecards, and reports; analyze KPIs to identify improvement and cross-sell opportunities; measure campaign effectiveness; ensure data quality; partner with stakeholders and technology teams; support monthly reviews and ad-hoc analytics requests.

Lead data engineering and architecture for data integration and data warehouse projects. Design and build data pipelines, define datasets and strategies, perform data modeling, configure and test ETL processes (Informatica), and work with GCP/BigQuery and Snowflake on Azure. Collaborate with stakeholders to prioritize business use cases and enable reporting.

Manage and develop a team of data analysts to deliver strategic analytics projects, ensure data accuracy, build reports and dashboards, translate insights into business recommendations, improve operational processes, coordinate cross-functional projects, and support budgeting and team development.

The Data Product Manager defines the reporting roadmap, manages KPI alignment, collaborates cross-functionally, ensures data quality, and leads continuous improvement in analytics processes.