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AI Program Sr. Manager

Extra Space Storage

Salary not specified
Aug 14, 2025
Salt Lake City, UT, USA
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Extra Space Storage is seeking an AI Program Senior Manager to lead enterprise AI initiatives, driving high-impact projects, developing reusable AI systems, and optimizing resources through build-vs-buy decisions to enhance operational resilience, cost efficiency, and innovation.

Requirements

  • Expertise in program management methodologies (e.g., Agile, Scrum, Waterfall) and tools (e.g., Jira, Microsoft Project).
  • Analytical mindset for evaluating build-vs-buy decisions, with experience in ROI analysis and resource optimization.
  • Strong understanding of AI technologies and cloud platforms (e.g., AWS, Azure).

Responsibilities

  • Lead and oversee enterprise AI programs from planning to deployment, collaborating with data scientists, engineers, product managers, and business leaders to meet business goals and deadlines.
  • Evaluate AI solution ideas, making build-vs-buy decisions based on ROI, feasibility, and strategic alignment.
  • Manage program roadmaps, budgets, and timelines; track progress using performance metrics; identify and mitigate risks; ensure compliance with data privacy and ethical AI standards.
  • Identify opportunities to design and implement modular, reusable AI frameworks (e.g., conversational AI platforms for kiosks, mobile, and web) supporting organization-wide integration and scalability.
  • Act as primary liaison among AI teams, executives, and business units; facilitate updates, workshops, and feedback; build vendor and partner relationships as needed.
  • Stay current on AI trends and best practices; drive improvements to increase program efficiency.

Other

  • 5+ years in program or project management. Proven track record of leading complex, enterprise-scale programs from ideation to deployment.
  • Excellent communication and presentation skills, with the ability to translate technical concepts for non-technical stakeholders.
  • Leadership abilities to manage cross-functional teams and drive results in ambiguous environments.