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# Lead, Enterprise Data & AI Governance

- **Company:** Under Armour
- **Location:** Baltimore, MD, United States (Remote available)
- **Experience:** Expert
- **Salary:** $100,000.0 - $135,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Information Systems, Data Governance, Data Integrity, Metadata, Meta-Data Management, SAP NetWeaver Data Management, Enterprise Data Management, Enterprise Software Applications, Information Technology, Data Management
- **Published:** October 11, 2026
- **Apply:** https://www.careerjet.com/job/us2aef529ebd828f7922f6300ad3fe9fb5/eaa

## About the Role

* Bachelor's degree in Information Systems, Computer Science, Business, Data Management, Analytics or a related field with 8 years of relevant experience in data management, data stewardship, data governance, AI governance, risk management or a related field or Master's degree with typically 6 years of relevant experience or typically 12 years of relevant work experience without degree
 * 2+ years of experience using an ERP, master data, metadata, workflow, governance, or enterprise technology platform. SAP master data acumen preferred.
 * Experience using data governance, AI governance, process improvement, and change management methods.
 * Demonstrated ability to lead cross-functional governance initiatives and manage intake, prioritization, and delivery with limited oversight.
 * Demonstrated ability to manage roadmaps, coordinate cross-functional delivery, and translate governance requirements into system, process, reporting, and role-based operating model changes.
 * Deep understanding and demonstrated ability to adapt to complex international business environments and situations.
 * Strong knowledge of master data management, data governance, data quality, metadata management, stewardship, and responsible AI governance.
 * Understands the value of data quality, trusted data, responsible AI practices, and governance accountability across functions.

## Description

Under Armour is seeking a Lead, Enterprise Data and AI Governance to strengthen enterprise data governance and help scale responsible AI governance across the organization. This role defines and improves governance frameworks, policies, standards, controls, and operating processes that enable trusted data, responsible AI use, clear decision rights, and measurable adoption. As part of the Data Governance team, this role partners with business, technology, legal, privacy, security, compliance, and risk teams to translate governance requirements into practical roadmaps, system and process changes, role-based accountability, and sustainable operating models.
Your Impact

 * Define and maintain data and AI governance frameworks, including decision rights, governance roles, escalation paths, and accountability models.
 * Define and implement policies, standards, and procedures for data governance and responsible AI governance.
 * Facilitate governance councils, working groups, and stakeholder forums to drive alignment, prioritization, issue resolution, and adoption of standards.
 * Manage the data and AI governance roadmap, including priorities, milestones, dependencies, risks, and delivery reporting.
 * Oversee governance-related system changes, process updates, role assignments, and adoption activities that support sustainable operations.
 * Partner with business and technology teams to embed governance requirements into platforms, workflows, approvals, metadata, controls, and reporting.
 * Define, publish, and monitor KPIs for governance maturity, roadmap progress, adoption, data quality, and responsible AI effectiveness.
 * Assess data and AI governance maturity, identify gaps, recommend improvements, and track remediation.
 * Act as a subject matter expert for governance concepts, definitions, standards, metadata, stewardship practices, and responsible for AI oversight.
 * Partner with Data Stewards, business owners, product teams, and technology partners to improve metadata management, governance processes, data integrity, and enterprise data sharing.