Sr Product Manager, Agentic AI & Automation Center of Excellence

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The Sr Product Manager, Agentic AI & Automation Center of Excellence leads The Friedkin Group's Agentic AI / Automation Center of Excellence (CoE) and is accountable for supporting enterprise vision, strategy, and a scalable product/service offering that accelerates the safe adoption of AI Agents and automation across TFG companies. This role partners with senior business leaders, IT architecture, information security, data governance, and delivery teams to identify high-impact opportunities;

define and prioritize an enterprise portfolio of agent use cases; and ensure solutions move from pilot to production with measurable business outcomes. The Sr Product Manager, Agentic AI & Automation Center of Excellence establishes best practices and standards for agent design, development, testing, deployment, monitoring, and support-enabling repeatable delivery and operational excellence while maintaining trust, compliance, and responsible AI.

• Lead the Agentic AI / Automation CoE operating model, including intake, value sizing, prioritization, governance, funding/chargeback approach (as applicable), and performance reporting.
• Partner with Business Use Case Owners and functional leaders to discover, evaluate, and prioritize opportunities where AI Agents and automation can drive near-term business value (growth, efficiency, risk reduction, and customer/associate experience).
• Own the product/service offering for Agentic AI and Automation (e.g., reusable components, reference architectures, templates, guardrails, enablement, and support), ensuring it is easy to adopt and scales across lines of business.
• Translate business goals into clear product requirements and detailed user stories (including acceptance criteria, controls, and non-functional requirements such as security, privacy, resiliency, and auditability).
• Manage and continuously refine the enterprise backlog and portfolio of agent initiatives; sequence delivery based on value, feasibility, dependencies, and risk.
• Drive cross-functional delivery with engineering, data, architecture, and platform teams to ensure high-quality, on-time delivery of agent capabilities and use cases.
• Support best practices and standards for agent development and operations, including prompt and instruction management, tool/API integration patterns, retrieval-augmented generation (RAG) patterns, evaluation/testing, and lifecycle management.
• Support responsible AI and risk controls in partnership with legal, compliance, information security, and data governance (e.g., data handling, access controls, model risk, human-in-the-loop, safety, and monitoring).
• Oversee a production support model for agents (SLAs, incident management, change control, observability, drift and quality monitoring, and continuous improvement).
• Evaluate and manage key platforms and vendors (agent frameworks, orchestration, automation/RPA, evaluation/monitoring, and knowledge/retrieval tools) in partnership with IT and Procurement.
• Create executive-ready communication, roadmaps, and status updates; translate technical concepts into business language to enable decision-making at all levels.
• Measure and report on outcomes and adoption (e.g., value realized, time saved, cycle time, quality, reliability, usage, and user satisfaction); adjust strategy based on evidence and feedback.
• Build organizational capability through enablement-training, playbooks, office hours, and a community of practice-to accelerate adoption and consistent delivery across teams.
• Stay current on trends in Agentic AI, GenAI, automation, and AI governance; run rapid experiments and pilots to validate new approaches, and integrate learnings into standards and roadmaps.
• In partnership with the PMO, organize/lead meetings for collaboration and process…