AI Governance Lead

Western Governors University
Salt Lake City, UT, United States
2 days ago
Apply on wgu.wd5.myworkdayjobs.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
3 years minimum
Compensation
$161,000.0 - $249,500.0
Working hours
Regular working hours

Tech stack

Artificial Intelligence Amazon Web Services Cloud Engineering Machine Learning Software Engineering Data Lakes Information Technology Machine Learning Operations Databricks

Job description

The AI Governance Lead will play a critical role in developing and implementing governance and control frameworks for AI tools and technologies within our organization. This individual will work closely with cross-functional teams, including Security, Legal, IT, Product, Business, and external vendors, to ensure that AI tools are approved and used in accordance with company policies and industry best practices. Additionally, this person will play the role of a change agent and a catalyst for innovation, and take the lead on the usage policies, maintaining the artifacts, especially external data sources, POCs, materials and others.

At WGU, innovation has the greatest impact when it is paired with thoughtful, responsible governance. As our AI Governance Lead, you will help shape how AI tools and technologies are evaluated, governed, and used across the organization.

This is a highly visible, cross-functional role for someone who can bring together technical expertise, business judgment, governance rigor, and a passion for innovation. You will partner with Security, Legal, IT, Product, Business teams, and external vendors to build practical governance frameworks that enable responsible AI adoption while addressing security, privacy, regulatory, and ethical considerations.

What You’ll Do

  • Develop and execute comprehensive AI governance strategies that guide the responsible and ethical use of AI tools and technologies.
  • Establish cross-functional processes for the approval, access, and ongoing maintenance of AI tools, ensuring alignment with regulatory requirements and industry standards.
  • Develop policies, standards, and procedures governing AI use, with a focus on security, privacy, ethics, and responsible innovation.
  • Assess AI tool capabilities and risks, clearly articulate trade-offs, and recommend appropriate uses and access across the organization.
  • Serve as a change agent and catalyst for innovation by leading AI usage policies and maintaining key governance artifacts, including external data sources, proofs of concept, and supporting materials.
  • Foster a culture of responsible AI use by educating stakeholders on governance best practices, policies, and compliance requirements.
  • Lead complex, strategically important initiatives across large cross-functional teams while influencing senior leaders, technical experts, business stakeholders, and external vendors., This position requires occasional travel of up to 20%, including required attendance at designated company summits (typically one to two per year). Additional travel may include conferences, visits to company locations, and other business-related events as needed. Additional travel may be assigned as needed to support business requirements.

Requirements

  • Bachelor’s and Master’s degree in Computer Science, Software Engineering, Data Science, Machine Learning, Math, Physics, or any related field.
  • 5+ years of AI, Data Science or Machine Learning experience.
  • 5+ years of experience working in collaboration with business and other teams.
  • 3+ years of experience with Policy Development, Frameworks, Compliance Assurance and Auditing, Governance, Stakeholder and Change management, and AI Ethical education.
  • 3+ years of experience with cloud architecture (preferably AWS).
  • 3+ years of experience with Data Lakes (preferably Databricks).
  • 3+ years of experience working in selecting and managing external vendors.
  • Proven track record of developing and implementing governance frameworks for AI tools and technologies.
  • Experience with ML lifecycle management.
  • Strong knowledge of regulatory requirements, industry standards, and best practices related to AI governance and compliance.
  • Excellent communication, collaboration, analytical, and problem-solving skills, including the ability to influence senior executive leadership and clearly articulate the trade-offs associated with AI tools and business solutions.
  • Strong business acumen and the ability to persuade, navigate ambiguity, and maintain a positive approach in challenging situations.

Bonus Points

  • PhD.

Experience in Lieu of Education

Equivalent relevant education and/or experience may be considered where appropriate.

Benefits & conditions

If you’re passionate about building a better future for individuals, communities, and our country-and you’re committed to working hard to play your part in building that future-consider WGU as the next step in your career.

Driven by a mission to expand access to higher education through online, competency-based degree programs, WGU is also committed to being a great place to work for a diverse workforce of student-focused professionals. The university has pioneered a new way to learn in the 21st century, one that has received praise from academic, industry, government, and media leaders. Whatever your role, working for WGU gives you a part to play in helping students graduate, creating a better tomorrow for themselves and their families.

The salary range for this position takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs.

At WGU, it is not typical for an individual to be hired at or near the top of the range for their position, and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is: Grade: Technical 411

Pay Range: $161,000.00 - $249,500.00, We thoughtfully review every application and invite forward the candidates whose experience and potential best align with the role and our mission.

  • Introductory call
  • Hiring leader
  • Executive Stakeholder
  • Additional Executive Stakeholder, Full-Time Regular Positions (classified as regular and working 40 standard weekly hours): This is a full-time, regular position (classified for 40 standard weekly hours) that is eligible for bonuses; medical, dental, vision, telehealth and mental healthcare; health savings account and flexible spending account; basic and voluntary life insurance; disability coverage; accident, critical illness and hospital indemnity supplemental coverages; legal and identity theft coverage; retirement savings plan; wellbeing program; discounted WGU tuition; and flexible paid time off for rest and relaxation with no need for accrual, flexible paid sick time with no need for accrual, 11 paid holidays, and other paid leaves, including up to 12 weeks of parental leave.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on wgu.wd5.myworkdayjobs.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

3:24 min

The governance failures of centralized data lakes

Mario Meir-Huber · LIVE

2:27 min

Managing traffic and tracking costs with Databricks Unity Catalog

Viktoria Semaan Viktoria Semaan · World Congress 2026 Europe

2:36 min

Applying supervised machine learning for practical rule extraction

Katja Träumner

2:51 min

Developing critical leadership skills for AI integration

Rudi Bauer Rudi Bauer +1 · Cappuccino with HR

6:24 min

Distributed data lakes and containerized computing clusters

Ulrich Wurstbauer +1 · LIVE

1:50 min

Emerging regulations and cultivating careers in AI ethics

Cheuk Ho · World Congress 2023

Videos

See all

Related articles

See all