Responsible AI Lead

Job Summary

The Responsible AI Lead will establish and operationalize the enterprise’s approach to Responsible AI and AI governance and deployment across internally built and third-party AI solutions. This role will help ensure AI is deployed safely, ethically, and effectively enterprise-wide by creating the frameworks, processes, and organizational alignment needed to support enterprise adoption.

About the Role

This role helps establish a framework to turn “Responsible AI” into a business accelerator. This is an exempt level role and reports to the VP Data & AI.

Essential Functions

• Own and operationalize the enterprise AI Risk Management and Responsible AI framework across the full AI lifecycle (intake, design, build/buy, testing/validation, deployment, monitoring, change management, and retirement) for both internally developed and third-party AI solutions

• Maintain an “always current” governance posture by monitoring evolving laws, regulations, supervisory expectations, and standards (e.g., EU AI Act and other emerging guidance), translating updates into internal policy, controls, procedures, and playbooks

• Define and enforce enterprise decision rights for AI adoption (ownership, accountability, approval thresholds, and escalation paths), ensuring consistent governance across business lines and functions

• Embed AI governance into existing delivery and operational processes (e.g., vendor management, model risk/validation, SDLC, change management, incident management, privacy/security reviews) so governance is executed through operating rhythms, not standalone compliance activity

• Establish and run AI risk assessment, audits, and impact analysis processes to identify, document, and mitigate ethical, regulatory, operational, and reputational risks (including fairness, transparency, privacy, explainability, data lineage/quality, and lifecycle oversight)

• Provide enterprise visibility and reporting on AI inventory, risk posture, control effectiveness, performance and drift, operational stability, issues/incidents, and remediation progress delivering actionable insights and recommendations to senior leadership and governance forums

• Partner cross-functionally (Business, IT, Data, Risk, Compliance, Legal, Security, HR) to ensure AI solutions are designed and operated responsibly, with clear requirements, controls, and accountability for outcomes

• Evaluate AI use cases and vendor solutions for readiness (governance, risk, control maturity, implementation feasibility, monitoring capability, documentation quality) and provide go/no-go and risk acceptance recommendations

• In partnership with the People Team, enable responsible adoption through guidance and education by creating practical standards, templates, training, and “how-to” support that helps teams implement controls correctly and efficiently

Knowledge/Skills/Abilities

• Enterprise Responsible AI / AI risk management expertise: demonstrated experience designing and implementing Responsible AI, AI governance, and/or data/model governance frameworks in complex organizations

• Strong command of risk and controls for AI across build and buy: ability to assess and manage risks spanning data privacy, security, bias/fairness, transparency/explainability, third-party risk, auditability, model performance, drift, and operational resilience

• Regulatory and standards awareness with translation to practice: proven ability to stay current on evolving requirements and convert them into clear policies, control objectives, procedures, and measurable control tests

• Operationalization mindset: experience embedding governance into SDLC, MRM/validation, vendor management, change management, and ongoing monitoring, moving from principles to repeatable execution

• Assessment capability: ability to perform and/or lead AI risk assessments, impact analyses, control design reviews, and evidence-based evaluations; develop remediation plans and track issues to closure

• Influence and communication: ability to drive alignment across functions, facilitate decision forums, and communicate complex AI risk topics to both technical teams and senior leadership with clear recommendations

• Analytical rigor and structured problem-solving: ability to translate complex requirements into actionable controls, operating models, and reporting that supports consistent enterprise decision-making

Core Competencies

• Demonstrating Member Obsession

• Demonstrating Performance Excellence

• Demonstrating Innovation

Minimum Requirements

• Bachelor’s degree in a relevant field such as Data Science, Computer Science, Statistics, Risk Management, Information Systems, or related discipline, or equivalent combination of education and experience

• Technical, risk/compliance, or policy background, with demonstrated experience applying governance, ethical, and regulatory principles to AI or data-driven systems

• 5-7 years’ experience in AI governance, data ethics, risk management, compliance, or related roles in a technology-driven environment

• Deep understanding of AI/ML technologies, ethical and regulatory challenges, and responsible AI principles

• Strong communication and stakeholder management skills, with the ability to engage technical and non-technical audiences

• Experience in highly regulated industries such as financial services, insurance, or healthcare

• Proven experience developing and implementing ethics, compliance, or governance programs within a complex organization

• Knowledge of relevant legal and regulatory frameworks for AI (e.g., GDPR, EU AI Act)

Preferred Requirements

• Proven experience in developing and implementing ethics, compliance, or governance programs within a complex organization

• Experience in highly regulated industries such as financial services, insurance, or healthcare

• Certifications or advanced training in AI ethics, risk management, or compliance

• Demonstrated thought leadership or public engagement in responsible AI or digital ethics