Manager, AI Product Management

Job Description

• Lead and mentor a team of IT Business Analysts, driving requirements gathering, process optimization, and solution alignment with business needs
• Run discovery with business leaders / SMEs; map processes (BPMN 2.0) across the leasing lifecycle, legal, and doc generation / repository flows.
• Identify opportunities across three pillars : document intelligence, agentic workflow automation, and leasing sales AI.
• Build a KPI‑tied and value measured AI use‑case backlog; define a portfolio investment thesis and quarterly priorities.
• From BPMN flows, select the right agent architecture based on task structure, uncertainty, and control needs.
• Author conceptual designs : user journeys, prompt / pattern libraries, retrieval strategies, tool / API integrations (e.g., CRM, DRS, CLM, e‑signature), HITL (human‑in‑the‑loop) guardrails, acceptance criteria, risks, and evaluation plans.
• For leasing sales : design AI‑assisted prospecting / qualification, outreach personalization, meeting / call summarization, next‑best‑action, and pipeline health insights.
• Present Problem Statement + Proposed Solution to Central AI for feasibility, standards, security, cost, and governance review; finalize scope (go / no‑go).
• Ensure initiatives adhere to platform / architecture standards and reuse components where possible.
• Act as Product Lead across multiple teams : roadmaps, backlogs, sprint goals, and SOWs; manage delivery risks and inter‑domain dependencies.
• Coordinate data access and design with D&A / Tech BAs; ensure builds conform to enterprise standards and privacy / PII controls.
• Pilot, iterate, and scale; drive change management, training, and communications with Leasing / Legal / Doc Gen stakeholders.
• Monitor adoption, quality, cost, latency, and safety; own business value realization vs. plan.
• Capture and publish patterns / playbooks for cross‑domain reuse; contribute requirements back to Central AI standards.

Requirements