AI Technology Risk Manager

Empower$114K — $165K *
US-AnywhereRemote in United States
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Computer Science, Risk Management, or related field
  • 7+ years in technology risk or model risk management
  • Experience in risk assessments for machine learning or generative AI
  • Understanding of model development on cloud infrastructure
  • Strong communication skills for explaining technical risks
  • Analytical skills with attention to detail
  • Capability to work collaboratively in fast-paced environments

Responsibilities

  • Define and build AI governance policies and controls
  • Execute technology risk assessments for AI and machine learning solutions
  • Conduct independent reviews of AI models and their processes
  • Establish and execute AI risk governance frameworks
  • Identify risks and implement controls in AI systems
  • Manage third-party vendor risks associated with AI
  • Prepare risk documentation for senior management

Benefits

  • Comprehensive medical, dental, vision, and life insurance
  • 401(k) retirement plan with company matching contributions
  • Tuition reimbursement up to $5,250/year
  • Generous paid time off program plus company holidays
  • Paid volunteer time (16 hours/year)
  • Family and Medical Leave, and paid parental leave
  • Inclusive Business Resource Groups (BRGs) for collaboration
Full Job Description
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.

What you will do:
  • 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.

What you will bring:
  • 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.

What will set you apart:
  • 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.

This job operates in a professional office environment.

This job description is not intended to be an exhaustive list of all duties, responsibilities and qualifications of the job. The employer has the right to revise this job description at any time. You will be evaluated in part based on your performance of the responsibilities and/or tasks listed in this job description. You may be required to perform other duties that are not included on this job description. The job description is not a contract for employment, and either you or the employer may terminate employment at any time, for any reason, as per terms and conditions of your employment contract.

What we offer you

We offer an array of diverse and inclusive benefits regardless of where you are in your career. We believe that providing our employees with the means to lead healthy balanced lives results in the best possible work performance.
  • 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.


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

The salary range above shows the typical minimum to maximum base salary range for this position in the location listed. 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.

***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.***

Job Posting End Date at 12:01 am on:
08-10-2026

About Empower

Empower is a retirement plan recordkeeping financial holding company based in Greenwood Village, Colorado, United States. It is the second-largest retirement plan provider in the United States.
Learn more about Empower

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