Data Management

• Develop and lead the strategy, implementation, and continuous improvement 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)
• Collaborate with Data Owners and Data Stewards to promote consistent data usage, quality, and lifecycle practices
• Recommend enhancements to enterprise data processes, governance workflows, and supporting tools
• Identify data quality issues, establish data quality controls and KPIs, and drive improvement actions
• Conduct gap analysis of enterprise data practices to inform target-state governance and lifecycle management models
• Support metadata standards, data classifications, business definitions, and reference data alignment
• Translate business needs into data requirements, definitions, and governance artifacts
• Partner with architecture, analytics, and platform teams to embed governance and data quality requirements in enterprise solutions
• Facilitate change management for data ownership, stewardship, data access, retention, and lifecycle controls
• Promote adoption through training, communication, and ongoing engagement
• Chair or co-chair the data governance committee
• Participate in enterprise data governance committees and operationalize data roles and responsibilities
• Serve as 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

Enterprise Data Management Lead

• Develop and lead the strategy, implementation, and continuous improvement 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)
• Collaborate with Data Owners and Data Stewards to promote consistent data usage, quality, and lifecycle practices
• Recommend enhancements to enterprise data processes, governance workflows, and supporting tools
• Identify data quality issues, establish data quality controls and KPIs, and drive improvement actions
• Conduct gap analysis to inform target-state governance and lifecycle management models
• Support metadata standards, data classifications, business definitions, and reference data alignment
• Translate business needs into clear data requirements, definitions, and governance artifacts
• Partner with architecture, analytics, and platform teams to embed governance and data quality requirements in enterprise solutions
• Facilitate change management for data ownership, stewardship, data access, retention, and lifecycle controls
• Promote adoption of data governance processes through training, communication, and engagement
• Chair or co-chair the data governance committee
• Participate in enterprise data governance committees and operationalize data roles and responsibilities
• Serve as 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