AI Technology Risk Manager

About the Role

Our vision for the future is based on the idea that transforming financial lives starts by giving our people the freedom to transform their own. We have a flexible work environment and fluid career paths, encouraging and celebrating internal mobility. We recognize the importance of purpose, well-being, and work-life balance. Within Empower and our communities, we work hard to create a welcoming and inclusive environment, and our associates dedicate thousands of hours to volunteering for causes that matter most to them. Chart your own path and grow your career while helping more customers achieve financial freedom.

Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa at this time, including CPT/OPT.

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.

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.

Qualifications (Preferred)

• 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.

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.

Pay

Base Salary Range $114,000.00 - $165,300.00

Non-sales positions have the opportunity to participate in a bonus program. Sales positions are eligible for sales incentives, and in some instances a bonus plan, whereby total compensation may far exceed base salary depending on individual performance. Actual compensation offered may vary from posted hiring range based upon geographic location, work experience, education, licensure requirements and/or skill level and will be finalized at the time of offer.

Schedule

This job operates in a professional office environment. For remote and hybrid positions, you will be required to provide reliable high-speed internet with a wired connection as well as a place in your home to work with limited disruption. You must have reliable connectivity from an internet service provider that is fiber, cable, or DSL internet. Other necessary computer equipment will be provided. You may be required to work in the office if you do not have an adequate home work environment and the required internet connection.