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Director, AI Adoption & Operations Integration

Job in Gilbert, Maricopa County, Arizona, 85233, USA
Listing for: Greystar
Full Time position
Listed on 2026-06-03
Job specializations:
  • IT/Tech
    AI Engineer
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below

Job Description Summary

This position is responsible for leading the adoption, integration, and scaling of AI across property management operations  Director serves as the central connector between technology, operations, and business stakeholders to ensure AI initiatives are coordinated, measured, and delivering real value to onsite teams, corporate functions, and clients. The role spans corporate and operational AI use cases, with a strong emphasis on change management, enablement, cross‑functional program leadership, and translating emerging AI capabilities into practical, role‑specific solutions for field and corporate teams.

The role also requires strong project and program management capabilities to structure, execute, and scale complex, cross‑functional AI initiatives across multiple regions, stakeholders, and business units.

Key Responsibilities
  • Use Case Identification & Prioritization

    Find, vet, and sequence AI opportunities across onsite and corporate functions. Partner with field and corporate teams (including RPMs, Directors, and AI SWAT team resources) to identify operational pain points and prioritize high‑impact AI use cases. Support the Corporate AI SWAT team in identifying and prioritizing AI use cases across accounting, marketing, and property performance functions. Evaluate new and emerging AI vendors and technologies, maintaining a market map and making adoption recommendations.

  • Adoption & Change Management

    Ensure teams change behavior, not just get access to tools. Own the change management and adoption strategy for AI rollouts, driving sustained behavior change through leadership engagement, performance alignment, and role modeling. Build and nurture an internal AI community of practice, identifying and supporting super users across regions who can serve as peer advocates.

  • Enablement, Training & Communications

    Build the content and forums that make adoption stick. Partner with Operations Enablement and vendor teams to develop and deliver training, SOPs, and communications tailored to onsite teams, RPMs, Directors, and clients. Curate and scale recurring forums and best practices from early adopters and super users, creating a reusable case library for broader distribution. (e.g., AI Show & Tell, AI Breakfast Series)

  • Program Management, Analytics & Reporting

    Prove value and keep stakeholders informed. Lead program management of AI initiatives end‑to‑end, including planning, sequencing, stakeholder alignment, risk management, and execution tracking across pilots and scaled deployments. Define and track success metrics for AI initiatives, including ROI, time savings, operational performance, and user satisfaction. Coordinate with analytics teams to ensure consistent measurement and deliver executive‑ready reporting on AI performance and impact.

  • Vendor & Partner Management

    Manage the external AI ecosystem. Manage AI vendor relationships end‑to‑end, including pilot scoping, coordination with engineering teams, roadmap alignment, and tracking of status, risks, and performance. Own the execution and scaling of AI pilots, applying structured program management disciplines (planning, milestones, risk tracking, and stakeholder alignment) to ensure successful transition from pilot to scaled deployment.

  • Governance, Compliance & Cross‑BU Coordination

    Keep the AI program responsible, legal, and non‑duplicative. Support AI governance and compliance efforts, partnering with Legal, Info Sec, and Compliance to ensure responsible and compliant AI usage. Coordinate across other business units on AI adoption, ensuring shared learnings and avoiding duplicative efforts across the organization.

  • Additional Scope

    Serve as an internal resource for M&A, Client Services, and Marketing on AI capabilities, client‑facing talking points, and current guidance. Support thought leadership efforts including conference speaking, industry press, and internal community engagement.

Basic Knowledge & Qualifications
  • Bachelor's degree required;
    Master's or MBA preferred, in Business Administration, Management Information Systems, Operations Management, or related fields from an accredited college or university.
  • 7+ years of…
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