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.

The Manager, Responsible AI leads operationalization of responsible AI governance practices across enterprise AI initiatives. The role supports AI risk assessment, standards, controls, documentation, monitoring, and evidence management to help ensure AI capabilities are designed and used responsibly.

ESSENTIAL FUNCTIONS:

• Lead responsible AI assessment activities for AI use cases, including risk identification, control mapping, documentation, and follow-up actions.
• Support development and maintenance of responsible AI standards, templates, procedures, and operating guidance.
• Partner with privacy, legal, cybersecurity, architecture, data, model risk, and business stakeholders to align AI controls with enterprise expectations.
• Track AI governance artifacts, control evidence, exceptions, remediation actions, and approvals.
• Support AI inventory, risk reporting, governance dashboards, committee materials, and audit/readiness requests.
• Advise solution teams on responsible AI practices including transparency, human oversight, data handling, testing, monitoring, and operational accountability.

QUALIFICATIONS:

Education: University or College education in Computer Science, Engineering, Data/Analytics, Business/Technology, Risk/Governance, or related field; equivalent experience considered.

Experience and skills:

• Experience in technology governance, risk management, compliance, privacy, cybersecurity, audit, data governance, or responsible AI programs.
• Understanding of AI/ML/LLM risk areas, model lifecycle, data protection, risk assessment, and control design is preferred.
• Experience developing frameworks, templates, procedures, evidence packs, dashboards, or governance reporting.
• Strong facilitation, stakeholder management, writing, analysis, and issue management skills.
• Ability to translate policy and control expectations into practical delivery guidance.

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.

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, 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.