Description
The AI Governance Lead will play a critical role in developing and implementing governance and control frameworks for AI tools and technologies within WGU.
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.
Responsibilities:
- 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.
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.
Benefits:
- 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
- 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
- Other paid leaves, including up to 12 weeks of parental leave