Responsible AI Lead

# Responsible AI Lead

A US bank is seeking a Responsible AI Lead to 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. 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.

Location: Onsite — Austin, TX

## 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

## Other Responsibilities

Adheres to all company policies, procedures, and business ethics codes

Completes required regulatory training as assigned

Maintains strict adherence to and compliance with all laws, rules, regulations, and internal controls specific to the role, including but not limited to Bank Secrecy Act, Anti-Money Laundering, USA Patriot Act, OFAC and Fair Lending regulations

## 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

## Experience

### 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 system

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

Project management experience, with a track record of delivering cross-functional initiatives

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

Must be bondable

### Preferred Requirements

Proven experience 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

## Physical Demands

The physical demands described are representative of those that must be met by an employee, with or without accommodation, to successfully perform the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.

While performing the duties of this job, the employee is regularly required to sit; use hands to finger, handle or feel; reach with hands and arms; and talk or hear. Specific vision abilities required by this job include close vision, distance vision, peripheral vision, and ability to adjust focus. Employee will make extensive use of the telephone and virtual communications requiring the ability to explain complex information effectively and accurately.

## Work Environment

The work environment characteristics described are representative of those an employee encounters while performing the essential functions of this job. This position requires frequently working onsite in Austin, Texas. This position may involve periodic stressful conditions. May occasionally require an adjusted work schedule, overtime, and evening/weekend hours. May occasionally move from one work location to another. Public contact position, requiring appropriate professional appearance. Frequent computer use at a workstation of up to two hours at a time. The noise level in the work environment is usually moderate.

Compensation: DOE