Senior Manager Technology Risk

Empower
3d$114,000 - $165,300Hybrid

About The Position

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. We not only encourage but celebrate internal mobility. We also 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. Empower Yourself. 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. The Senior Manager, Technology Risk will lead a team responsible for identifying, assessing, and managing technology risks associated with machine learning and generative AI solutions. This role partners closely with engineering, data science, security, legal, compliance, second line risk, and business stakeholders to help ensure AI-driven technologies are designed, deployed, and operated in a safe, ethical, and compliant manner. The role requires strong people leadership and deep expertise in AI/ML risk, including model risk, data risk, third-party risk, and evolving regulatory expectations for responsible AI.

Requirements

  • Bachelor’s degree in Computer Science, Information Systems, Data Science, Engineering, Risk Management, or a related field.
  • Master’s degree (or equivalent experience in lieu of advanced education).
  • Strong people leadership, coaching, and talent development capabilities.
  • Deep understanding of AI/ML technologies, including LLMs and model training, validation, and deployment.
  • Knowledge of Responsible AI principles, model risk management, and data governance.
  • Ability to assess and challenge complex technical risks with sound judgment.
  • Strong communication skills and the ability to influence senior leaders.
  • Proven ability to operate effectively in ambiguous, rapidly evolving technology environments.

Responsibilities

  • Lead and manage a team responsible for AI/ML and emerging technology risk oversight, including hiring, performance management, coaching, and development.
  • Establish and maintain risk governance, standards, control frameworks, and oversight processes for Generative AI and Machine Learning solutions.
  • Provide risk review and effective challenge across the AI/ML lifecycle, including model design, development, validation, deployment, and ongoing monitoring.
  • Partner with data science, engineering, and business teams to embed risk controls throughout the AI/ML lifecycle.
  • Oversee risk assessments, control testing, issue management, and remediation activities related to AI and advanced analytics.
  • Evaluate and manage third-party and vendor risks associated with AI platforms, tools, and data sources.
  • Translate complex technical and model risks into clear, actionable insights for senior leaders and governance forums.
  • Monitor emerging regulatory guidance, industry standards, and best practices related to AI and model risk management.
  • Prepare and present risk reporting, metrics, and recommendations to leadership and risk committees.
  • Exercise decision authority and independent judgment related to AI/ML risk assessments, control recommendations, issue escalation, and, within defined thresholds, risk positions, remediation plans, and risk acceptances.
  • Provide direct supervision of Senior Analysts and Analysts within Technology Risk.

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.
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