Senior AI Portfolio Leader - Governance & Adoption (Flexible)

UL Research Institutes

Evanston (IL)

Vor Ort

USD 144.000 - 198.000

Vollzeit

14 Tage+

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

Schaffe es an den ATS-Filtern vorbei

Benefits dieser Stelle

Medical insurance
Dental insurance
Vision insurance
Life insurance
401k matching up to 5%
Paid time off

Zusammenfassung

UL Research Institutes and UL Standards & Engagement seek a Sr. Manager, AI Portfolio to lead enterprise AI governance, portfolio management, and adoption strategies.

Based in Evanston, IL, you will partner with leaders to drive AI initiatives from evaluation to implementation, aligning with risk, governance, and compliance requirements. You will direct a scalable AI solution lifecycle, establish KPIs, and foster enterprise AI literacy through education and governance forums.

Qualifikationen

  • Bachelor's degree in Computer Science, Information Technology, Data Science, Artificial Intelligence, Business Administration, or a related field.
  • Master's degree preferred.
  • Strong governance, portfolio, and cross-functional leadership experience in AI programs.

Aufgaben

  • Establish and manage enterprise AI governance, portfolio management, and operating frameworks.
  • Lead intake, evaluation, prioritization, and lifecycle management of AI initiatives.
  • Coordinate with Legal, Information Security, Risk, Compliance, Finance, and HR on Responsible AI practices.
  • Oversee AI portfolio and roadmap visibility, dependencies, risks, and value realization.

Kenntnisse

AI governance
Generative AI
Machine learning
Intelligent automation
Agentic AI
Responsible AI

Ausbildung

Bachelor's degree
Master's degree preferred

Jobbeschreibung

UL Research Institutes and UL Standards & Engagement seek a Sr. Manager, AI Portfolio to lead enterprise AI governance, portfolio management, and adoption strategies.

Based in Evanston, IL, you will partner with leaders to drive AI initiatives from evaluation to implementation, aligning with risk, governance, and compliance requirements. You will direct a scalable AI solution lifecycle, establish KPIs, and foster enterprise AI literacy through education and governance forums.

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