Data Governance Manager

**Position Summary** The Manager of Data Governance leads the enterprise framework for trusted, consistent, secure, and usable data across business units, systems, and teams. This role establishes the operating model, policies, standards, ownership structure, and measurement system required to improve data quality, master data consistency, metadata discipline, lineage, stewardship, and decision confidence. The Manager partners across Technology & AI, MDM, eCommerce, ERP, CRM, Product, Sales, Operations, Finance, Compliance, and business leadership to ensure data governance is practical, scalable, and aligned to business outcomes. This is a hands-on leadership role that balances strategy with execution: building governance guardrails without slowing delivery, defining clear accountability across data owners and stewards, and ensuring critical enterprise data can support analytics, automation, AI, operational execution, and customer-facing processes. **Essential Duties & Responsibilities** **Enterprise Data Governance Strategy & Operating Model** - Define and execute the enterprise data governance roadmap aligned to business priorities, transformation programs, analytics needs, and AI readiness. - Establish a federated governance model that combines enterprise standards with domain-level ownership across product, customer, supplier/vendor, transactional, and analytical data domains. - Create and maintain governance policies, standards, decision rights, RACI models, escalation paths, and issue-resolution routines. - Lead or facilitate a cross-functional Data Governance Council to review high-impact data decisions, resolve conflicts, approve standards, and prioritize remediation work. - Translate governance strategy into practical operating rhythms, measures, and documentation that business teams can adopt consistently. **Data Ownership, Stewardship & Accountability** - Define and operationalize the roles of Data Owners, Data Stewards, Data Custodians, Data Guardians, and domain subject matter experts. - Partner with business leaders to assign clear ownership for critical data domains and ensure accountability for quality, usage, security, and strategic alignment. - Build stewardship routines that improve issue intake, triage, root-cause analysis, remediation, exception handling, and ongoing monitoring. - Coach cross-functional teams on data ownership expectations, governance responsibilities, and decision-making processes. - Create communication and enablement materials that improve data literacy and clarify how governance supports business execution. **Master Data Management & Domain Governance** - Drive governance for customer, supplier/vendor, product, pricing, and other critical master data domains across enterprise systems and business units. - Partner with system teams to define business rules, validation controls, survivorship logic, naming standards, deduplication rules, and data hierarchy requirements. - Support major data-dependent initiatives such as ERP, PIM, eCommerce, CRM, reporting modernization, and AI enablement by ensuring data standards are defined before scale. - Ensure operational validation is incorporated into data initiatives so data performs correctly across quote, order, receive, fulfill, invoice, reporting, and customer-facing workflows. - Identify structural data-quality risks, rework drivers, and bottlenecks; recommend prioritization, remediation plans, and executive escalation where needed. **Data Quality, Metadata, Lineage & Controls** - Define enterprise data quality dimensions, KPIs, scorecards, thresholds, and remediation SLAs for critical data elements. - Establish metadata and data catalog practices that document definitions, ownership, transformations, lineage, and usage context. - Implement governance controls for data classification, access, retention, privacy, auditability, integration, and lifecycle management. - Partner with Technology, Cybersecurity, Compliance, and Legal teams to ensur…