Director, AI Adoption & Operations Integration

GreystarArizona City, AZ
Hybrid

About The Position

This position is responsible for leading the adoption, integration, and scaling of AI across property management operations at Greystar. The 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.

Requirements

  • 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 progressive experience in property management operations, business optimization, technology adoption, or a related field within real estate services, including 3+ years leading cross-functional programs.
  • Demonstrated experience leading programs involving technology adoption, change management, and process improvement across diverse stakeholder groups.
  • Deep understanding of property management operations, ideally including direct experience in roles such as Regional Property Manager, Director, or similar field leadership positions.
  • Strong understanding of property management workflows, including leasing, renewals, collections, maintenance, and client reporting; demonstrated ability to translate operational challenges in leasing, maintenance, financial performance, and resident experience into scalable process or technology solutions.
  • Excellent written and verbal communication skills, with experience creating executive-ready decks, memos, and talking points for senior leadership and client audiences.
  • Demonstrated proficiency with AI productivity tools (e.g., Microsoft Copilot, Claude, ChatGPT) and willingness to role-model their use across the organization.
  • Demonstrated experience leading complex, cross-functional programs, including planning, execution, stakeholder management, and delivery across multiple workstreams and geographies.
  • Strong analytical skills with the ability to define KPIs, track pilot performance, and translate data into actionable recommendations.
  • Working knowledge of AI and emerging technology trends (including generative AI, agentic systems, and applied machine learning) and the ability to evaluate their applicability to real estate operations and customer experience.
  • Familiarity with CRM platforms and property management technology stacks (e.g., Yardi, RealPage, Funnel, Entrata).
  • Experience managing vendor relationships and coordinating multi-stakeholder pilot programs.
  • Background in program management, consulting, or business transformation preferred.

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, InfoSec, 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.

Benefits

  • Competitive Medical, Dental, Vision, and Disability & Life insurance benefits.
  • Low (free basic) employee Medical costs for employee-only coverage; costs discounted after 3 and 5 years of service.
  • Generous Paid Time off.
  • All new hires start with 15 days of vacation, 4 personal days, 10 sick days, and 11 paid holidays.
  • Plus your birthday off after 1 year of service!
  • Additional vacation accrued with tenure.
  • For onsite team members, onsite housing discount at Greystar-managed communities are available subject to discount and unit availability.
  • 6-Week Paid Sabbatical after 10 years of service (and every 5 years thereafter).
  • 401(k) with Company Match up to 6% of pay after 6 months of service.
  • Paid Parental Leave and lifetime Fertility Benefit reimbursement up to $10,000 (includes adoption or surrogacy).
  • Employee Assistance Program.
  • Critical Illness, Accident, Hospital Indemnity, Pet Insurance and Legal Plans.
  • Charitable giving program and benefits.
  • Benefits offered for full-time employees.
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service