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Sr. Manager, AI Management

Job in Salt Lake City, Salt Lake County, Utah, 84193, USA
Listing for: Utah
Full Time, Part Time position
Listed on 2026-11-05
Job specializations:
  • IT/Tech
    AI Business & Operations, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 149000 - 189000 USD Yearly USD 149000.00 189000.00 YEAR
Job Description & How to Apply Below

Job Title Artificial Intelligence (AI) / Machine Learning (ML) Engineering Management

Working Title Sr. Manager, AI Management

Career Progression Track M00

Track Level M4 - Senior Manager

FLSA Code Computer Employee

Patient Sensitive Job Code? No

Standard Hours per Week 40

Full Time or Part Time? Full Time

Shift Day

Monday – Friday with hybrid flexibility.

Business hours: 8am – 5pm

VP Area President

Department 01396 - my529

Location My529 Downtown SLC

City Salt Lake City, UT

Type of Recruitment External Posting

Pay Rate Range $ - $ Depending on experience

Type

Benefited Staff

About Us

my529 is a nonprofit, self-supporting agency that administers a public trust. my529 is the State of Utah’s 529 education savings plan and is consistently ranked as one of the best 529 plans in the nation. my529 mixes the stability of government with a goal-driven business environment. Sound financial management and expanded marketing have created substantial growth over the last several years.

Our team of over 90 employees has a clear vision of growth and the teamwork needed to support it. You can learn more about us 29.org.

Senior Manager, Artificial Intelligence (AI) Management:

This position leads my529’s AI strategy through partnering with all departments under the governance of the Executive Leadership Team to integrate AI into daily operations. Cultivating an AI-driven culture through training, education, and the identification of emerging skills needed across the organization is critical. The position serves as a key advisor on AI-related technology, infrastructure, architecture, vendor selection, security, fraud prevention, and productivity initiatives, and develops multi-year roadmaps, evaluates build-versus-buy decisions, and guides pilot and proof-of-concept efforts.

Responsibilities
  • Own and administer my529’s AI Governance framework, policies, standards, and controls. Ensure they remain current, effective, and aligned with business strategies, regulatory requirements, and industry best practices. Advise and participate with Executive leadership in their governance of policy development, oversight, compliance, ethical AI usage, including coordination with risk management and Information Security.

  • Advise on regulatory conformity and assist in navigating financial regulations (e.g., data privacy, PII , AML / KYC , SEC oversight, Industry Standards) with Compliance. Implement governance frameworks for AI (explainability, auditability).

  • Serve as the lead for evaluating AI capabilities within existing technology platforms and tools, assessing new features for business value, risk, and alignment with organizational objectives. Act as the primary point of contact for business stakeholders, providing guidance on new AI functionality within existing platforms and tools, including coordinating with IT, Security, Legal, and other teams to oversee the review, configuration, implementation, and responsible use of new AI-enabled capabilities.

  • Ensure that AI initiatives are coordinated with cybersecurity and address data integrity, model risks, and operational resilience policies. Advise in establishing guardrails, ethical guidelines, and human oversight.

  • Support internal/external audits and maintain documentation for responsible AI use.

  • Drive measurable outcomes, identify and track KPIs, staff engagement and confidence, fraud reduction, and new product launches.

  • Foster strategic engagement with vendors, regulators, industry consortia, and fintech organizations to proactively assess and capitalize on advancements in AI technologies, including agentic AI and model evolution.

  • Oversee AI initiatives and lead development/deployment of machine learning models for risk assessment, predictive analytics, customer service (chatbots/agents),…

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