Job Title: AI Governance Associate Director
Job Responsibilities:
- Lead the design, implementation, and ongoing refinement of AI governance workflows, policies, and controls to align with the evolving needs of the business and regulatory changes.
- Serve as a senior governance authority and educator, responsible for communicating and promoting the AI governance framework across various functions. This includes delivering onboarding materials, organizing roadshows, and conducting stakeholder briefings.
- Act as a thought partner to AI use case owners, translating high-level principles into actionable governance requirements while enabling innovation.
- Facilitate and lead complex, high-stakes governance discussions with Legal, Audit, IT Security, and Compliance departments, often involving novel risks or ethical challenges.
- Drive alignment with model governance standards, utilizing a deep understanding of frameworks like SR 11-7 and adapting them to modern AI risks.
- Collaborate with internal teams such as Legal and Security to ensure the effectiveness of governance controls and implement enhancements based on audit findings.
- Author and maintain governance artifacts (., model card templates, risk assessment templates, exceptions, escalation memos) that align with regulatory and organizational standards.
- Oversee the creation and institutionalization of Standard Operating Procedures (SOPs), governance workflows, and decision-making pathways to ensure consistent implementation.
- Monitor and interpret regulatory changes, such as the EU AI Act, NIST AI RMF, and GDPR, and lead timely adjustments to internal governance frameworks.
- Maintain structured logs of governance questions, interpretations, and action items to ensure transparency and continuity.
- Lead integrations between the AI governance framework and internal tooling, including working directly with the AI Enabling Team to align the AI Tracker with system workflows and partnering with UX, Legal, IT Security, and other functions to embed governance into the development pipeline.
- Champion AI-enabled enhancements to governance operations, such as risk tagging, self-service guidance, and automation.
- Contribute to the long-term roadmap for agentic AI integration, ensuring governance integrity remains intact as autonomy increases.
Education and Experience Information:
- Bachelor’s degree required; a Master’s in a quantitative field, Law, Public Policy, Risk Management, or Business Administration is strongly preferred.
- 7+ years of experience in AI governance, model governance, compliance, risk, audit, or a similar function.
- Proven success in building and rolling out governance frameworks and driving adoption across diverse stakeholders.
- Extensive experience with cross-functional integration projects, including IT, Legal, Security, and business units.
- Demonstrated ability to educate and influence teams, especially around new or evolving governance processes.
- Familiarity with regulated industries and well-established model risk governance frameworks, such as SR 11-7, is a plus.
Core Competencies:
- Deep understanding of AI and ML risks, including issues such as bias, transparency, monitoring, and explainability.
- Strong analytical and documentation skills with the ability to write clear, regulatory-grade governance artifacts.
- Familiarity with tools like PowerApps, Tableau, workflow automation tools, and governance technology platforms.
- Excellent communication and change management skills, especially when guiding teams through ambiguity or evolving regulatory landscapes.
- Exceptional multitasking and prioritization skills, with the ability to manage multiple governance initiatives, stakeholder requests, and regulatory updates simultaneously without losing focus or quality.
- Ability to communicate clearly and persuasively across technical, legal, and executive audiences, translating abstract governance concepts into actionable language and fostering alignment across diverse stakeholders.
Mindset and Approach:
- Comfort with ambiguity, novelty, and incomplete guidance, with the capability to construct governance structures from the ground up when none exist.
- Ability to manage and lead through "known unknowns" and "unknown unknowns," with a pragmatic mindset grounded in risk prioritization.
- A structured, diplomatic thinker who balances compliance needs with business goals and user experience.
Salary Information:
- Target salary range for locations including CA, CT, CO, DC, HI, IL, MD, MN, NY, RI, WA: $183,700 - $260,050
