AI Technology Risk Manager

🔥 0 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🔴 Lead

🤖 Artificial Intelligence

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Empower

WebsiteLinkedInAll Job Openings

10,000+ employees

💸 Finance

💳 Fintech

👥 B2C

Finance • Fintech • B2C

Empower is a leading provider of financial services focused on helping individuals and organizations achieve financial freedom through retirement planning and investment management. Serving over 19 million Americans, Empower offers a comprehensive suite of finance-related services, including smart planning and investment advice, and tools like the Empower Personal Dashboard™ for a complete financial view. The company is renowned as a top retirement plan provider and works closely with personal investors, workplace plan savers, plan sponsors, and financial professionals. Empower is also recognized for initiatives in Diversity, Equity, Inclusion, and has a social commitment that bolsters community impact.

📋 Description

• Identify, assess, and manage technology risks associated with machine learning, generative AI, and emerging technologies • Execute risk assessments, provide independent review and challenge, and partner with technology, data science, product, and business teams to ensure AI and machine learning solutions are safe and compliant • Translate complex technical risks into clear, actionable insights and embed effective controls throughout the AI and machine learning lifecycle • 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 the 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 aligned 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 and 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.

🏖️ 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.