Product Management Lead, AI

Product Management Lead, AI

AECOM is seeking a Product Management Lead to own the product strategy, delivery sequencing, and outcome realization for AI- and agentic-enabled capabilities embedded into day-to-day enterprise workflows across core business operations.

This role is accountable for deciding where and how AI should be applied, including defining appropriate levels of autonomy, human-in-the-loop (HITL) designs, trust thresholds, and Responsible AI guardrails. The Director ensures AI products are not only delivered, but adopted, trusted, and generating measurable business value at scale.

Operating within enterprise product standards and governance, this role partners closely with Process Intelligence & Discovery, Responsible AI, Architecture, Data, Engineering, Delivery, and Operations teams. The Director leads Product Managers and serves as the primary steward of AI product decisions, trade-offs, and outcomes across the Operational AI portfolio.

This is a product leadership role, not a technical architecture or program management position.

This position offers flexibility for hybrid work schedules to include both in-office presence and some flexibility for virtual/telecommute work to be based in Houston or Dallas, TX.

Key Responsibilities

• Own and maintain the Operational AI and agentic product portfolio roadmap, defining where AI should assist, advise, or act autonomously, aligned to enterprise product and Responsible AI standards
• Translate process discovery insights and business demand into AI-ready product backlogs, including autonomy levels, HITL workflows, guardrails, and success metrics
• Lead AI-specific product trade-off decisions, balancing value vs. risk, autonomy vs. control, model cost vs. quality, and reuse vs. time-to-impact
• Define product hypotheses, evaluation criteria, and trust thresholds for AI capabilities (e.g., accuracy, containment, correction rates, explainability, user confidence)
• Partner with Architecture, Data, and Engineering to shape feasible AI solutions that meet business intent, Responsible AI requirements, and operational constraints—without owning technical design
• Own adoption and behavior-change strategy for AI products, incorporating rollout feedback, user corrections, and realized outcomes into roadmap evolution
• Establish and operate autonomy governance with Responsible AI, Legal, Risk, and Operations to determine when AI may act, advise, or must defer to human approval
• Lead and develop Product Managers, strengthening AI product craft across outcome definition, HITL design, evaluation planning, and risk stewardship
• Communicate product status, risks, and performance using AI-relevant evidence, including adoption, trust signals, correction rates, cost per interaction, and value realization

Minimum Qualifications

• Bachelor's Degree plus at least 12 years of product management experience, including demonstrated ownership of AI-enabled or decision-automation outcomes, and at least 4 years in a product leadership role, or demonstrated equivalent experience and education
• Proven experience owning outcomes for AI-enabled products, including autonomy decisions, adoption strategy, and measurable business impact
• Strong ability to translate business problems into AI-ready product definitions, including intents, guardrails, evaluation plans, and human-AI workflows
• Demonstrated judgment balancing AI value, risk, trust, and cost under real-world constraints
• Excellent communication and stakeholder influence skills across Product, Responsible AI, Architecture, Data, Operations, and Legal

Preferred Qualifications

• Direct experience defining autonomy levels, HITL policies, and Responsible AI requirements for production systems
• Familiarity with agentic workflows, RAG-based experiences, AI evaluation frameworks, and observability metrics from a product ownership perspective
• Experience establishing AI success measures such as containment, correction rates, explainability, bias controls, and user trust
• Fluency collaborating with architects and engineers on AI constraints (data readiness, model risk, cost/quality trade-offs) without owning technical implementation
• Track record driving behavior change and adoption for AI capabilities in regulated, high-risk, or mission-critical environments
• Experience operating in federated or matrixed product and delivery models, with strong focus on value realization and continuous learning loops

Additional Information

• Relocation assistance is not available for this position
• Sponsorship for US work authorization is not available for this position, now or in the future.

At AECOM, we are committed to maintaining a secure and trustworthy recruitment process and take any fraudulent hiring activity seriously. To support this commitment, all newly hired employees are required to attend an in-person Day 1 onboarding at an AECOM office location as a condition of employment.