Hiring.Camp

Senior Analyst Technology Risk

Empower

·

Feb 19, 2026

Salary
$96k – $136k
Location
KS Overland Park, United States of America
Workplace
Remote
Type
Full-time
Department
IT
Seniority
Senior
Experience
4+ years
Visa
Not sponsored
Closing date
Feb 28, 2026
Source
Workday

Description

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 Analyst, Technology Risk will identify, assess, and help manage technology risks associated with machine learning, generative AI, and emerging technologies. This individual contributor role supports the Senior Manager, Technology Risk by executing risk assessments, providing independent review and challenge, and partnering with technology, data science, and business teams to help ensure AI and ML solutions are designed and operated in a safe, ethical, and compliant manner. The role requires strong analytical judgment and the ability to translate complex technical risks into clear, actionable insights while operating within established risk frameworks and governance structures.

What you will do:

  • Partner with second line enterprise risk and application teams to define, document, and build ML and AI governance policy, 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/ML models, including data sourcing, training approaches, validation methods, and ongoing performance monitoring.

  • Support the establishment and ongoing execution of AI/ML risk governance, standards, and control frameworks aligned to the Enterprise Risk Appetite Framework.

  • Partner with engineering, data science, product, and business teams to identify risks and embed effective controls into AI/ML systems and processes.

  • Assess and support management of third-party and vendor risks associated with AI platforms, tools, models, and data sources.

  • Prepare clear 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 within established frameworks, provide control feedback and issue identification to the Senior Manager, and escalate significant risks or control gaps in accordance with defined thresholds.

  • Contribute analysis and recommendations to risk acceptance decisions (without formal approval authority).

What you will bring:

  • Bachelor’s degree in Computer Science, Information Systems, Data Science, Engineering, Risk Management, or a related field.

  • Master’s degree (or relevant experience in lieu of advanced education).

  • 4 to 6 years of experience in technology risk, model risk management, cybersecurity, data risk, or related disciplines.

  • 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 working in regulated environments (for example, financial services, insurance, healthcare, or fintech).

  • Experience partnering with engineering and data science teams in fast-paced technology environments.

  • Strong understanding of AI/ML technologies, including LLMs and 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.

  • Highly analytical, detail-oriented, and comfortable working with ambiguity.

  • Proven ability to collaborate effectively across technology, risk, and business teams.

What will set you apart

  • Relevant certifications (preferred but not required), such as CRISC, CISM, CISSP, FRM, or AI-related certifications.

Working Conditions:

  • Normal Office Working Conditions
  • Flexible Hours

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 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.

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

$96,100.00 - $135,700.00

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.

Equal opportunity employer  Drug-free workplace

We are an equal opportunity employer with a commitment to diversity.  All individuals, regardless of personal characteristics, are encouraged to apply.  All qualified applicants will receive consideration for employment without regard to age (40 and over), race, color, national origin, ancestry, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, religion, physical or mental disability, military or veteran status, genetic information, or any other status protected by applicable state or local law. 

***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:

02-28-2026

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Skills

Machine LearningData ScienceCybersecurityRisk ManagementCISSP

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