Director, Data and AI Governance

University of Maryland Global Campus-posted 3 months ago

$172,000 - $197,000/Yr

Full-time • Director

Adelphi, MD

Educational Services

Resume

Match Score

Upload and Match ResumeTrack Jobs with Teal

The Director of Data and AI Governance is responsible for establishing and leading enterprise-wide governance frameworks to ensure the quality, compliance, and ethical use of data, analytics, and AI/ML assets and processes with efficiency and effectiveness. This leader guides the development of policies and operational processes supporting trustworthy, auditable, and compliant data and AI practices across the organization in alignment with the enterprise data and analytics strategy. This role includes leading Master Data Management (MDM) and data stewardship programs, serving as Secretary of the Enterprise Data and AI Governance Committee, managing data contracts, and overseeing governance tooling such as Microsoft Purview, Profisee, Azure DevOps, and Databricks Unity Catalog. Experience in public universities, public institutions, and/or global online higher education is highly preferred. The candidate will also drive User Acceptance Testing (UAT) processes within a SAFe Agile environment to ensure data and analytics initiatives meet business and technical requirements.

Lead the design, implementation, and continuous improvement of governance frameworks spanning data, analytics, and AI/ML assets.
Serve as Secretary of the Enterprise Data, Analytics, and AI Governance Committee, managing agendas, documentation, and follow-up.
Define and enforce AI governance policies and processes ensuring federated model transparency, fairness, risk controls, and compliance with regulatory frameworks.
Champion data privacy, security, and ethical AI practices in alignment with institutional priorities.
Lead the Master Data Management (MDM) cross-functional group.
Lead processes for data domain definitions, hierarchy management, and data quality controls.
Oversee data stewardship processes, empowering business units with accountability for data quality, ownership, and issue resolution through local data owners and stewards.
Facilitate collaboration across IT and business stakeholders to maintain trusted master data assets.
Lead UAT planning, execution, and reporting within a SAFe Agile framework for governance-related initiatives, including data contracts, data product delivery, MDM, tooling, processes, and policies.
Collaborate with product owners, scrum masters, and technical teams to define acceptance criteria that align with business requirements and compliance standards.
Ensure smooth coordination between governance teams and Agile release trains for successful delivery of governance capabilities.
Lead the drafting and management of data provider contracts for ingestion and use of external/internal data sources.
Lead the drafting and management of data consumer contracts covering secure data delivery and AI/BI product consumption.
Work cross-functionally with legal, procurement, and IT to ensure contractual alignment with governance and compliance policies.
Establish AI governance processes aligned with frameworks such as NIST AI RMF, EU AI Act, and relevant privacy regulations.
Monitor AI model lifecycle, bias risks, retraining policies, and auditability.
Maintain alignment with global data privacy compliance requirements: FERPA, HIPAA, GDPR, CCPA, PIPL, PDPA, SOX.

Bachelor's Degree in Information Systems, Data Governance, Computer Science, AI Policy, Law, Engineering or related field.
10+ years in data governance, data management, or AI policy roles.
3-5+ years in leadership roles overseeing enterprise-wide governance initiatives.
Proven experience leading Master Data Management and stewardship processes.
Proven experience leading UAT within SAFe Agile frameworks.
Proven experience implementing Purview, Profisee, Unity Catalog, and Azure DevOps.
Experience serving as secretary or chair of governance committees.
Experience negotiating and managing data provider and consumer contracts.

Master's Degree in Information Systems, Data Governance, Computer Science, AI Policy, Law, Engineering or related field.
Experience in public universities, public institutions, or global online higher education.
Certifications: CDMP, DAMA, CIPP/E, AI Ethics/Governance, Azure/Cloud Governance, Azure Purview, DevOps, Profisee, Databricks Unity Catalog.

Generous Time Off: 22 days of paid vacation, 15 days of sick leave, 3 personal days, and 15 paid holidays.
Comprehensive Health Coverage: Access to health care, medical with vision, dental, and prescription plans.
Insurance Options: Term Life Insurance, Accidental Death and Dismemberment Insurance, and Long-Term Disability (LTD) Insurance.
Flexible Spending Accounts: Available for medical and dependent care expenses.
Retirement Plans: Choose between the Optional Retirement Program (ORP) or the Maryland State Retirement and Pension System (MSRPS).
Supplemental Retirement Plans: include 401(k), 403(b), 457(b), and various Roth options.
Tuition Remission: Immediate availability for Regular Exempt Staff.

Track Jobs with Teal

Job Search Resources

•

AI Resume Builder

•

Director of Data Science Resume Examples

•

Director of Data Science Cover Letter Examples

Director, Data and AI Governance

Job Search Resources

Tools

Career Hubs

Guides

Company