AI Technology Risk Manager

Empower • Overland Park, KS

2d • $114,000 - $165,300 • Hybrid

About The Position

The AI Technology Risk Manager will identify, assess, and manage technology risks associated with machine learning, generative AI, and emerging technologies. This individual contributor will execute risk assessments, perform independent review and challenge, and partner with technology, data science, product, and business teams to help ensure AI and machine learning solutions are designed and operated in a safe, ethical, and compliant manner. The role will translate complex technical risks into clear, actionable insights and embed effective risk controls throughout the AI and machine learning lifecycle.

Requirements

• Bachelor’s degree in Computer Science, Information Systems, Data Science, Engineering, Risk Management, or a related field.
• A minimum of 7 years of experience in technology risk, model risk management, cybersecurity, data risk, or a related discipline.
• Hands-on experience performing risk assessments for machine learning and/or generative AI solutions.
• Solid understanding of model and agent development on cloud-based infrastructure.
• Experience partnering with engineering and data science teams in fast-paced technology environments.
• Strong understanding of AI and machine learning technologies, including large language models, model training, validation, and deployment.
• Knowledge of responsible AI principles, model risk management, and data governance practices.
• Ability to independently assess and challenge complex technical risks using sound judgment.
• Strong written and verbal communication skills, including the ability to explain technical risks to non-technical audiences.
• Strong analytical skills, attention to detail, and comfort working with ambiguity.
• Proven ability to collaborate effectively across technology, risk, and business teams.

Nice To Haves

• Master’s degree in Data Science, Cybersecurity, Risk Management, Business Administration, or a related discipline.
• Experience working in a regulated environment, such as financial services, insurance, healthcare, or fintech.
• Relevant certification, such as CRISC, CISM, CISSP, FRM, or an AI-related certification.

Responsibilities

• Partner with second-line enterprise risk and application teams to define, document, and build machine learning and AI governance policies, processes, controls, and governance tools.
• Execute technology risk assessments for machine learning, generative AI, and advanced analytics solutions across design, development, deployment, and monitoring phases.
• Perform independent risk review and challenge of AI and machine learning models, including data sourcing, training approaches, validation methods, and ongoing performance monitoring.
• Support the establishment and ongoing execution of AI and machine learning risk governance, standards, and control frameworks in alignment with the Enterprise Risk Appetite Framework.
• Partner with engineering, data science, product, and business teams to identify risks and embed effective controls into AI and machine learning systems and processes.
• Assess and support the management of third-party and vendor risks associated with AI platforms, tools, models, and data sources.
• Prepare clear, concise risk documentation, assessments, and recommendations for review by the senior manager and risk governance forums.
• Monitor emerging regulatory guidance, industry standards, and best practices related to AI, model risk, and responsible AI.
• Contribute to risk metrics, reporting, and materials presented to leadership, risk committees, and second-line partners.
• Exercise independent judgment when conducting technology and AI and machine learning risk assessments within established frameworks.
• Provide risk recommendations, control feedback, and issue identification to the Senior Manager, Technology Risk.
• Escalate significant risks, control gaps, or issues in accordance with defined risk thresholds.
• Contribute analysis and recommendations related to risk acceptances without holding formal approval authority.

Benefits

• Medical, dental, vision and life insurance
• Retirement savings – 401(k) plan with generous company matching contributions (up to 6%), financial advisory services, potential company discretionary contribution, and a broad investment lineup
• Tuition reimbursement up to $5,250/year
• Business-casual environment that includes the option to wear jeans
• Generous paid time off upon hire – including a paid time off program plus ten paid company holidays and three floating holidays each calendar year
• Paid volunteer time — 16 hours per calendar year
• Leave of absence programs – including paid parental leave, paid short- and long-term disability, and Family and Medical Leave (FMLA)
• Business Resource Groups (BRGs) – BRGs facilitate inclusion and collaboration across our business internally and throughout the communities where we live, work and play. BRGs are open to all.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior