Enterprise Data Management Lead

Job DescriptionAt WSFS Bank, we empower our Associates to grow their careers, guide our customers to secure their financial futures, and actively support our Communities so they can fully thrive. Careers with WSFS Bank offer an inclusive and supportive culture, competitive salaries, advancement opportunities, and more. We are the region's locally headquartered bank and wealth management company. We are honored to consistently be named a Top Workplace by our Associates, who make a difference every day for the people, businesses, and Communities we serve. We Stand For Service® is more than part of our name, it's our mission and our purpose.The Enterprise Data Management Lead drives the strategy, standards, and execution of enterprise data governance and lifecycle management practices across WSFS. The role focuses on establishing and maintaining frameworks, policies, and processes that ensure WSFS data is trusted, well-defined, high-quality, and appropriately controlled from creation through archival. The Lead partners with Data Owners, Data Stewards, business leaders, and technology teams to advance data maturity, support analytics and regulatory needs, and enable operational efficiency. While highly knowledgeable about data concepts and architecture principles, this is not a hands-on engineering or ETL/ELT role; the focus is on embedding governance, quality, and lifecycle requirements through partnership and enterprise influence.Job Responsibilities:

• Develop and lead the strategy, implementation, and continuous improvement/maturation of Enterprise Data Management and Governance capabilities.
• Maintain and evolve the data governance framework, including policies, standards, and operating procedures.
• Partner with business lines to understand processes, data flows, and Critical Data Elements (CDEs) to ensure alignment with enterprise data standards.
• Collaborate with Data Owners and Data Stewards to promote consistent data usage, quality, and lifecycle practices across the enterprise.
• Recommend enhancements to enterprise data processes, governance workflows, and supporting tools to meet strategic objectives.
• Identify data quality issues, establish data quality controls and KPIs, and drive improvement actions with business and operations teams.
• Conduct gap analysis of existing enterprise data practices to inform target-state governance and lifecycle management models.
• Support the definition of metadata standards, data classifications, business definitions, and reference data alignment.
• Help business articulate and translate business needs into clear data requirements, definitions, and governance artifacts.
• Partner with architecture, analytics, and platform teams to ensure governance and data quality requirements are embedded in enterprise solutions.
• Facilitate change management for data ownership, stewardship, data access, retention, and lifecycle controls.
• Promote adoption of data governance processes across the Bank through training, communication, and ongoing engagement.
• Chair/co-chair the data governance committee
• Participate in enterprise data governance committees and support the operationalization of data roles and responsibilities.
• Serve as a senior advisor and subject-matter expert for governance standards, lifecycle practices, metadata, and data quality.
• Provide leadership, coaching, and guidance to team members and cross-functional partners.

Minimum Qualifications:

• Bachelor's Degree in Computer Science, Information Systems, or related analytical discipline; Master's Degree preferred or equivalent combination of education and/or work experience.
• Minimum of 15 years of progressively responsible experience in enterprise data management, data governance, or related domains in a regulated industry. Financial services industry experience in banking and/or wealth highly preferred.
• Minimum of 10 years working across requirements, design, and governance enablement for data warehouse or cloud data platform solutions (in partnership with architecture/engineering teams).
• Demonstrated experience defining, building and transforming data governance, data management, or MDM programs in an enterprise environment.
• Demonstrated experience chairing or co-chairing a data governance committee or council, including facilitating cross-functional stakeholder engagement, driving data governance initiatives, and overseeing adherence to data quality, data management, and regulatory requirements.
• Experience with information architecture concepts, data modeling concepts, and data integration strategies (without hands-on ETL/ELT ownership).
• Experience working with large, complex