Sr. Manager, Data Governance

Inmar Intelligence•Winston-Salem, NC

About The Position

ABOUT THE DATA GOVERNANCE TEAM The Data Governance team provides enterprise-wide oversight and enablement to ensure data is properly classified, documented, trusted, secure, and used responsibly. Acting as a bridge across business, engineering, privacy, and security teams, the team develops and operationalizes governance frameworks, policies, standards, tooling, and metrics that reduce risk, improve data quality, enable AI, and drive cost accountability. The team’s mission is to evolve governance from guidance to embedded, enforceable, and measurable execution, ensuring governance is built directly into how data platforms and pipelines are designed, delivered, and operated. ABOUT YOU You are an experienced data or platform leader who understands that governance is not just policy. It is operational discipline, ownership, and accountability at scale. You combine strong technical fluency with strong people leadership, operating comfortably across strategy and execution. You bring structure to ambiguity, translate enterprise risk into clear priorities, and partner effectively with senior leaders across engineering, privacy, security, legal, and business teams to drive adoption. You believe governance should enable teams—not slow them down—and you lead with high challenge and high support, setting clear expectations while fostering a culture of trust, accountability, and continuous learning.

Requirements

10+ years of experience in data, platform, governance, or related domains, with 5+ years leading technical teams.
Bachelor’s degree in a related field or equivalent experience.
Experience implementing enterprise data governance frameworks and operating models.
Strong understanding of data governance domains including metadata, classification, lineage, access controls, data quality, and stewardship.
Experience scaling governance programs across multi-cloud or hybrid environments.
Technical fluency in modern data architectures and automation practices, with the ability to guide engineers building scalable ETL/ELT workflows.
Experience collaborating with senior leaders across engineering, privacy, security, legal, and business teams.
Experience translating strategy into measurable execution with clear KPIs.
Strong written and verbal communication skills, including executive-level reporting and presentations.

Nice To Haves

Familiarity with data privacy regulations (e.g., CPRA, GDPR, HIPAA).
Familiarity with governance and classification tooling (e.g., Dataplex, BigID, DLP, Collate)
Prior background in data engineering, platform engineering, or analytics, before moving into leadership
Experience defining governance KPIs, maturity models, and audit processes.

Responsibilities

People Leadership Lead, coach, and develop a team of Data Governance engineers (Associate through Lead level), setting clear expectations for execution quality, accountability, communication, and collaboration. Provide mentorship, performance feedback, and career development support while managing hiring, onboarding, promotions, and performance management in partnership with HR. Address employee relations and sensitive matters with professionalism and fairness. Establish consistent team standards and continuously improve processes in alignment with Inmar’s values.
Governance Strategy & Execution Lead the enterprise Data Governance strategy, roadmap, and operating model aligned to business priorities, regulatory obligations, and technology roadmaps. Establish enforceable governance frameworks with clear ownership, decision rights, escalation paths, and accountability mechanisms. Lead the development of enterprise governance policies and standards in collaboration with engineering, privacy, security, legal, and business stakeholders. Remove organizational and technical barriers to governance adoption. Represent Data Governance in cross-functional leadership forums including the Data Governance Subcommittee.
Governance Enablement & Oversight Lead a team responsible for defining standards, developing automation capabilities, and enabling domain adoption of metadata, classification, lineage, tagging, and access controls. Ensure governance controls are implemented within Data Governance–owned assets while defining guardrails and reference patterns that enable consistent adoption across domains. Monitor adoption and compliance through governance metrics, audits, and reporting. Escalate material risks or non-compliance through appropriate governance channels.
Risk, Compliance & Program Delivery Oversee governance programs including metadata management, cataloging, lineage, data classification, access controls, and sensitive data protection. Partner with Privacy and Security to support regulatory readiness and risk mitigation. Drive remediation when governance gaps, inconsistencies, or non-compliance are identified. Provide leadership visibility into governance adoption, program maturity, and risk exposure through defined KPIs and reporting. Oversee delivery of governance initiatives and ongoing operational improvements. Support cloud cost transparency initiatives by ensuring ownership and tagging standards enable financial accountability.

Benefits

Medical, Dental, and Vision insurance
Basic and Supplemental Life Insurance options
401(k) retirement plans with company match
Health Spending Accounts (HSA/FSA)
Flexible time off and 11 paid holidays
Family-building benefits, including Maternity, Adoption, and Parental Leave
Tuition Reimbursement and certification support, reflecting our commitment to lifelong learning
Wellness and Mental Health counseling services
Concierge and work/life support resources
Adoption Assistance Reimbursement
Perks and discount programs