Hiring: Responsible AI Lead Company: UFCU Location: Austin, TX Job Posted Time: 2026-09-10 12:18:38 Target Skills & Keywords : Change Management, GDPR, Project Management, Risk Management, Stakeholder Management, Vendor Management About the job 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 •Comprehensive expertise in 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 Required Skills: •This is an exempt level role and reports to the VP Data & AI. •Our Credit Union was founded in 1936 and has grown to serve members throughout Texas and beyond. At UFCU, we are more than just a financial institution, and our people are more than just employees. We are dedicated to our purpose of empowering our Members to achieve financial success and build brighter futures •In Pursuit Of Our Aspiration That UFCU Is Loved By Millions Of Members And Built To Thrive For Generations, We Are Guided By Our Values •Purposefully Member-Obsessed: We are driven by a profound sense of empathy to deeply understand our Members’ needs and preferences, what brighter futures means to them, and the obstacles in their way. We act in our Members’ best interests, forever seeking to empower their financial success. •Possibilities Reimagined: We are inspired to courageously experiment, learn, and iterate in pursuit of positive impact for our Members, UFCU, and coworkers. We challenge assumptions, embrace diverse perspectives, and make use of data and insights. •Performance Excellence Rooted in Unwavering Integrity: We do the right thing, always. We champion teamwork, accountability, continuous improvement, and celebrate successful outcomes of others, fostering an inclusive environment of excellence and collaboration. •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 Qualifications: •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 •Puts themselves in the Member’s shoes •Makes it personalized and easy •Sets standards for elevating excellence Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!