Manager, AI Delivery

Role description

Delivery and team leadership

• Own portfolio outcomes, including what ships, whether it works, and whether the business uses it.
• Manage, coach, and develop delivery team members; set expectations and provide direct feedback.
• Set priorities and outcomes for delivery cadence, maintain the roadmap and capacity plan, and clear escalated obstacles.
• Make capacity and sequencing decisions, distribute ownership, and maintain quality across requirements, design, evaluation, and release readiness.
• Review prototypes, prompts, agents, code, designs, documentation, and stakeholder work as needed.

Prioritization and value

• Screen AI requests for data and business readiness, technical feasibility, minimum viable accuracy, output verifiability, and build-versus-buy fit.
• Sequence competing initiatives, revisit decisions as conditions change, and defer or stop work that will not pay off.
• Help sponsors quantify time saved, cost avoided, or revenue enabled, then validate the baseline after launch.
• Build a roadmap around reusable components, common data foundations, and reinforcing initiative sequencing.
• Account for AI consumption costs and flag solutions that are unlikely to scale economically.

Technical judgment and stakeholders

• Guide LLM application patterns, agentic workflows, retrieval and context design, API and MCP integration, evaluation, and human-in-the-loop design.
• Own delivery practices for environments, source control, code review, CI/CD, release management, and handoff to support.
• Operate within AI governance, security, data-access, architecture, and vendor-assessment guardrails.
• Translate between technical constraints and business needs; handle timeline, scope, and feasibility discussions constructively.
• Report progress, risks, and realized value to leadership forums, including the AI Oversight Committee.
• Manage vendor and partner scope, quality, change control, and commercial escalations.

Must-have qualifications

• At least 5 years delivering technology solutions, including at least 2 years managing people or leading a delivery team.
• Has shipped LLM- or ML-based solutions and can discuss model selection, prompt and agent design, evaluation, accuracy trade-offs, and when AI is not appropriate.
• Uses AI tools daily and can demonstrate work built with them.
• Has prioritized under constraints, communicated difficult decisions to senior stakeholders, and maintained working relationships.
• Can help business partners quantify initiative value and assess uncertain estimates.
• Has owned capacity planning across competing initiatives and made resource-allocation decisions.
• Has software development project experience, including environments, code review, CI/CD, and release management.
• Demonstrates strong communication, emotional intelligence, sound judgment, and the ability to mentor junior colleagues while working with senior specialists.

Nice-to-have qualifications

• Background in commercial real estate, asset management, or financial services.
• Hands-on coding ability in Python or TypeScript for work review and prototyping.
• Experience with Azure, Microsoft 365, Fabric, Power Platform, APIs, MCP, Yardi or comparable ERP platforms.
• Agile delivery, vendor and statement-of-work management, or adoption and benefit measurement experience.

Compensation

• Expected annualized base salary is $140,000 to $160,000.
• The total rewards package may include performance incentives, health and dental benefits, a pension plan, and paid time off.

Work arrangement

• The posting identifies the role as hybrid.