AI & Cyber Governance Leader

AI & Cyber Governance Leader
Enterprise Role | AI, Risk, and Policy Ownership

What are people saying about this company?
• They invest in their people via training
• They allow you the independence to do your job without looking over your shoulder.
• Supportive. Good benefits. Nice culture to work in. Great people.

Title: AI & Cyber Governance Leader
Location: New Haven, CT or St. Louis, MO / Herndon, VA / Greenville, SC (Hybrid)
Salary: $170,000 – 190,000 +Bonus

Most companies are still figuring out what AI governance should look like.
This organization has decided to build it properly—and put someone in place to own it.
A highly respected, century-old manufacturing/Engineering organization—known for its stability, innovation, and long-term thinking—is building out its approach to AI in a thoughtful, structured way. They’re not experimenting on the edges… they’re putting the right governance, controls, and frameworks in place to scale AI responsibly across the business.

They’re looking for someone to lead that effort.
This is a newly defined leadership role inside a large, well-established manufacturing company that’s starting to scale its use of AI across the business. They’re not looking for someone to “advise” from the sidelines—they need someone who can design, stand up, and run the governance model.
You’ll be responsible for how AI is governed end-to-end: policies, controls, model risk, data usage, and how all of it ties back to enterprise risk and compliance.
This role has visibility across IT, Security, Legal, Compliance, and business leadership. It’s a build role, not a maintenance role.

What this role actually involves:
• Defining and implementing the AI & Data Governance framework across the enterprise
• Establishing policies for AI usage, data handling, model documentation, and risk controls
• Building out model risk management (inventory, tiering, validation, monitoring, lifecycle)
• Setting standards around responsible AI, privacy, and third-party/vendor risk
• Working with engineering and data teams to embed governance into real workflows (not just documentation)
• Helping the business understand risk tolerance and appropriate use of AI
• Bringing structure to a space that’s currently evolving

What tends to work well in this environment:
• Strong background in GRC / cybersecurity governance / risk management
• Experience creating policies and frameworks—not just operating within them
• Exposure to AI/ML governance, model risk, or data governance tied to analytics/AI
• Familiarity with frameworks like NIST AI RMF, ISO 27001 / 42001, SOC 2, GDPR/CCPA
• Ability to operate across technical teams and business stakeholders without overcomplicating things

Ideal experience:
• 7–10+ years in IT risk, data governance, analytics/ML governance, or compliance, with leadership experience
• Experience building or scaling AI/ML lifecycle governance (model documentation, validation, monitoring)
• Strong grounding in data governance (catalogs, lineage, quality, stewardship)
• Familiarity with frameworks like NIST AI RMF, ISO/IEC 42001, ISO 27001, SOC 2, along with GDPR/CCPA
• Comfortable operating across IT, Security, Legal, Compliance, Privacy, Audit, and business stakeholders
• Ability to translate technical risk into clear business terms and influence senior leadership

Core areas of strength:
• Governance design: policy development, control frameworks, operating models
• Risk management: assessments, control testing, remediation, KRIs
• Data management: metadata, lineage, quality, access controls
• AI/ML governance: lifecycle oversight, validation, bias/fairness, explainability
• Privacy & security: PIAs/DPIAs, data protection, secure architecture
• Stakeholder leadership: cross-functional alignment, change management, executive communication
• Vendor oversight: due diligence, contracting, ongoing risk monitoring