Top Senior Data Management Jobs in Philadelphia, PA

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

As a Data Office Manager, manage data strategy in the healthcare landscape, collaborate with teams and stakeholders, and oversee project management while leading a diverse team.

Lead a team of data scientists to develop marketing mix and attribution models, providing insights on marketing performance and optimizing investments across products and channels.

Lead architect for Compliance data at Coinbase, defining data governance frameworks, designing data contracts, mapping data lineage, and quantifying data impact to enhance compliance reporting and data quality processes.

Lead analytics engineering for finance data, delivering governed models and reporting solutions, improving data quality and controls, and partnering with multiple stakeholders.

The Sr. Manager of Data Governance will oversee data governance frameworks, lead a team, implement practices using modern tools, ensure compliance, and drive improvements in data quality and governance strategies.

The Manager of Data Governance will lead data governance initiatives, oversee Collibra platform implementation, ensure adherence to data policies, and collaborate with stakeholders to improve data quality.

The Lead Data Manager oversees data management activities for clinical studies, ensuring compliance with regulations and accurate data. Responsibilities include managing studies, data cleaning, vendor coordination, and ensuring data integrity.

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.

This role involves leading technical data solutions, developing analytics, mentoring analysts, and collaborating with stakeholders for decision-making in a financial context.

The Senior Manager of Data Analytics & Reporting leads BI product management, overseeing a team to drive strategy, delivery, and adoption of BI solutions while ensuring data quality and usability across the enterprise.

Lead the development of analytics solutions across operations, manage a team of analysts, and drive operational excellence and decision-making through data insights.

The Tag Manager will oversee and optimize Rula's tagging ecosystem, ensuring accurate data capture and collaborating cross-functionally to enhance analytics capabilities and data trust.

The role involves managing advanced data analytics in strategic finance, including building data models, ensuring governance, and presenting insights to clients.

Lead audit engagements and develop scalable data solutions. Oversee data analytics, project management, and identify risks in AI deployments.

Lead the Finance Reporting and Analytics team to drive growth through data-driven decision making, managing analysts and delivering insights via dashboards and predictive models.

Manage integration processes, analyze data quality, design reporting solutions, and facilitate integration teams while supporting enterprise initiatives.

Manage and optimize GTM tech stack, oversee Salesforce CRM, ensure data quality across systems, build data models, and create actionable insights for go-to-market strategy.

Lead a team of Data Scientists, Analytics Engineers, and Data Engineers to drive messaging strategies through analytics and data science, ensuring collaboration across various business domains.

The Senior Data Manager will design, configure, and launch clinical trials on Citrus while managing data quality and collaborating with product teams and stakeholders.

The Senior Data Manager is responsible for acquiring, cleaning, and managing datasets, developing data architectures, and ensuring data accessibility for business analysis and reporting.

Lead and mentor a Data Engineering team, manage data operations, ensure compliance with HIPAA, and design scalable ETL pipelines while collaborating across departments.

Manage a team of analysts while analyzing data, reporting, and enabling AI/ML model deployment. Provide insights and automate processes.

Manage a team of data scientists to develop fraud detection models, mentor staff, and collaborate with leadership on solutions and product development.

Lead and scale the data analytics function, manage a distributed analytics team, deliver actionable insights, and oversee analytics projects.