Technical AI Program Manager

About the Role

The Technical AI Program Manager connects the enterprise's growing demand for AI solutions with the technical and functional teams who deliver them. You'll field new AI requests, analyze them, and shape directional solutions before handing them to delivery teams. You'll also track AI spending and value delivered, giving the organization a clear basis for investment decisions. This role combines leadership, technical expertise, program management excellence, and organizational change management to accelerate AI adoption across the enterprise.

You bring real world computer science and engineering fundamentals and have shipped things — but you've grown into a well-rounded professional who holds your own with executives as easily as with architects. You pressure-test every request against what matters, not what's most interesting to build.

Innovation Strategy. We drive measurable value across our real estate portfolio by improving the resident experience, elevating team performance, and delivering superior financial outcomes. You'll make every request to that bar:

• Does this improve the resident’s experience?

• Does this improve team experience?

• Does this drive measurable financial results?

AI Strategy. We accelerate business value by combining best-in-class external solutions, scalable approved platforms, and proprietary capabilities. You'll guide stakeholders through:

• When to use an external AI solution

• When to use an approved internal platform

• When to build customs

You'll apply the same discipline to AI initiatives themselves: if it doesn't create value, improve efficiency, or strengthen competitive advantage, it doesn't move forward.

What You'll Do

Intake & Triage

• Field incoming AI requests from across the enterprise.

• Assess each one fast: what's the real problem, who's affected, how urgent, what's the rough shape of a solution.

• Route requests a quick answer, a scoped pilot, or a full program.

• Maintain a transparent pipeline of AI requests, decisions, priorities, and next steps.

Solution Shaping

• Partners with functional and technical stakeholders — data science, platform engineering, security, legal/compliance, business leaders — to sketch directional solutions delivery teams can pick up with confidence.

• Decide between external, approved platform, and custom-build paths based on the AI strategy and the problem's fit.

• Translate business asks into technical requirements, and technical constraints into business terms.

• Lead planning, execution, and governance of AI initiatives from concept through production deployment.

Program & Portfolio Management

• Track the AI portfolio: status, owners, blockers, outcomes.

• Keep initiatives scoped to the value they deliver; push back on scope creep and over-engineering.

• Align stakeholder groups when priorities or dependencies collide.

• Flag initiatives that drift from resident experience, team experience, or financial return.

Accountability and Tracking

• AI Governance and Adherence

• Own visibility into AI spends across tools, platforms, compute, and vendors.

• Build and maintain ROI, adoption, and value reporting for each initiative.

• Report leadership on what's working, what's not, and where to invest.

Synthesis & Communication

• Turn technical and business input into decision-ready narratives for engineers, functional leads, and executives.

• Keep documentation and status updates simple and current.