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
Requirements
- Accountable for deciding where and how AI should be applied
- Define appropriate levels of autonomy, human-in-the-loop (HITL) designs, trust thresholds, and Responsible AI guardrails
- Ensure AI products are delivered, adopted, trusted, and generating measurable business value at scale
- Operate within enterprise product standards and governance
- Partner with Process Intelligence & Discovery, Responsible AI, Architecture, Data, Engineering, Delivery, and Operations teams
- Lead Product Managers and serve 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
Work Arrangement
Hybrid — Houston, TX, Dallas, TX
Team
Structure: Leads Product Managers; partners with Process Intelligence & Discovery, Responsible AI, Architecture, Data, Engineering, Delivery, and Operations teams
Additional Information
- Hybrid work schedules with flexibility for virtual/telecommute work
- Incorporates rollout feedback, user corrections, and realized outcomes into roadmap evolution
- Must operate within enterprise product standards and governance
