AI Product Owner- Generative AI & Agents

Graybar•Chesterfield, MO

2d•$118,000•Hybrid

About The Position

This role owns the product vision, backlog, and delivery of Graybar's generative-AI agents portfolio. This includes custom agents that automate manual processes in order-to-cash (O2C) and procure-to-pay (P2P) workflows, as well as enterprise-wide programs for Microsoft Copilot and Copilot Studio. The AI Product Owner acts as a liaison between Graybar's process owners, internal engineering teams, Microsoft AI partners, citizen developers, and Copilot power users. The primary goal is to ensure the highest-value agents are prioritized, citizen-developer agents are deployed safely, and the broader workforce benefits from generative AI. The product portfolio is structured into three streams: Custom agents (50% of the role), focusing on medium-to-high complexity agents built in Microsoft Azure AI Foundry with a mixed delivery team. Initial focus areas are O2C and P2P processes, requiring workflow analysis, system integrations (SAP S/4 HANA, Graybar Connect, e-commerce, ServiceNow), and human-in-the-loop design. The Makers Community of Practice (25% of the role) involves guiding ~40 citizen developers building agents in Microsoft Copilot Studio, establishing reusable patterns, templates, and guardrails. The Power Users Community of Practice (25% of the role) supports ~60 Microsoft 365 Copilot power users across sales, customer service, and administration, aiming to create a generative-AI flywheel through training, case studies, and recognition.

Requirements

Minimum 5+ years of experience in product ownership, business analysis, or product management.
Experience working in Agile/Scrum environments with responsibility for backlog management and sprint ceremonies.
Demonstrated ability to translate complex business processes into technical requirements and user stories.
Experience managing products through pilot-to-scale transitions or multi-phase rollouts.
Four-year degree in Business, Information Technology, Engineering, or related field (or equivalent experience).
Knowledge of Agile product development practices, including user story writing, backlog prioritization frameworks (WSJF, MoSCoW, RICE), and sprint planning.
Knowledge of generative-AI and agentic-AI concepts – LLMs, RAG, tool/function calling, prompt engineering, evaluations, confidence scoring, and the iterative nature of agent improvement.
Knowledge of O2C, P2P, or other end-to-end enterprise business processes.
Knowledge of governance and risk-management practices for citizen-developer platforms.
Knowledge of change-management practices for deploying technology across distributed operations and a diverse functional workforce.
Strong analytical and problem-solving skills – ability to decompose complex business workflows into discrete agent opportunities and prioritize them by value-to-effort.
Excellent communication skills – ability to facilitate requirements workshops, present to senior stakeholders, run a community of practice, and write clear documentation and design patterns.
Active listening and requirements elicitation skills – ability to probe beyond stated needs to uncover root problems automatable by agents.
Organizational and prioritization skills – managing competing demands across three streams (custom-agent backlog, makers CoP, power users CoP).
Community-building skills – ability to grow, sustain, and energize an internal community of practitioners.
Ability to work effectively at the intersection of business operations, AI technology, and a Microsoft delivery partnership – comfortable in a shared-services meeting one morning, a Foundry architecture review in the afternoon, and a maker office-hours session the next day.
Ability to manage stakeholder expectations around generative AI – explaining why agent outputs are probabilistic, when human-in-the-loop matters, and what "good enough" means for production use.
Ability to make scope and prioritization decisions with incomplete information and adapt quickly as Microsoft platform capabilities evolve.
Ability to build strong working relationships across cross-functional teams, including remote engineering teams, Microsoft partners, function leaders, and a distributed community of makers and power users.
Ability to set and enforce guardrails on citizen development – saying "yes, ship it" most of the time and "not yet" when an agent crosses a risk line, with clear rationale.
Ability to thrive in a fast-moving environment where the product is evolving rapidly, the playbook for enterprise agent adoption is being written in real time, and Microsoft is releasing new platform capabilities monthly.

Nice To Haves

Experience with generative-AI or agentic-AI products – RAG, tool-using agents, prompt orchestration, confidence-aware workflows.
Familiarity with the Microsoft AI ecosystem: Azure AI Foundry, Copilot Studio, Microsoft 365 Copilot, and Azure OpenAI.
Experience standing up or leading a Community of Practice, Center of Excellence, or citizen-developer program (Power Platform, low-code/no-code, RPA, or similar).
Experience defining governance frameworks for citizen development – approval gates, security/data guardrails, reusable pattern libraries.
Experience in order-to-cash (O2C) or procure-to-pay (P2P) business processes, shared services, AP/AR, or procurement operations.
Experience in electrical distribution, wholesale distribution, supply chain, or B2B operations.
Familiarity with Azure DevOps or similar Agile work management tools (Jira, Rally).
Familiarity with SAP S/4 HANA or other enterprise ERP environments.
Certified Scrum Product Owner (CSPO), Professional Scrum Product Owner (PSPO), or equivalent certification.

Responsibilities

Own and prioritize the custom-agent product backlog in Azure DevOps – write user stories, define acceptance criteria, and sequence work across O2C and P2P agent opportunities based on hours-saved, error-reduction, and adoption potential.
Lead deep discovery with O2C and P2P process owners, shared-services leaders, and frontline users – map current-state workflows, quantify manual effort, and identify the agent opportunities with the highest business value relative to build complexity.
Lead sprint planning, backlog refinement, and sprint reviews with the mixed internal + Microsoft delivery team; accept completed work and make scope decisions within sprints.
Define acceptance criteria for agentic AI features that account for model accuracy, confidence thresholds, tool/action selection, and the iterative nature of agent behavior – understanding that agent outputs are probabilistic and that "good enough to ship" requires thoughtful guardrails.
Design and optimize human-in-the-loop workflows – determining where human review is required, where it can be streamlined, and how to build user trust in agent-generated outputs and actions.
Manage the Microsoft partnership for custom agents – coordinate with Microsoft solution architects and engineers on Azure AI Foundry capabilities, roadmap dependencies, and reference architectures; inform build-vs-buy-vs-extend decisions.
Define and govern the Maker program for Microsoft Copilot Studio: publish reusable templates and design patterns, set security and data-access guardrails, define the criteria that trigger a governance review, and approve agents that cross those risk lines before they ship to production.
Run the Makers Community of Practice – office hours, monthly demo days, a shared pattern library, case-study capture, and recognition for top makers; grow the community's capability over time.
Run the Power Users Community of Practice for Microsoft 365 Copilot – curriculum, function-specific use-case libraries (sales, customer service, administration), enablement events, and a feedback loop into Microsoft on capability gaps.
Partner with HR and Learning & Development to co-build the training curricula for both communities of practice – Copilot Studio fundamentals, design patterns, and governance for makers; role-specific Microsoft 365 Copilot adoption and prompt-craft training for power users. Embed curricula into Graybar's existing learning paths so generative-AI skill-building scales beyond the CoPs.
Participate in AI governance activities – ensure responsible-AI principles, data-privacy requirements, and Graybar's AI policies are reflected in both custom agents and citizen-developer outputs.
Drive scaling and adoption – plan rollouts across districts, functions, and personas; measure adoption metrics; manage change across diverse user populations.
Collaborate with the AI engineering team and Microsoft partners to define data requirements, evaluate model and agent performance, and prioritize improvements based on business impact.
Define and track product KPIs: FTE-equivalent hours saved across O2C and P2P, custom agents shipped to production, Copilot Studio agents in active use, maker-community growth and engagement, Copilot license adoption and active usage among power users, and downstream business outcomes (cycle-time reduction, error-rate reduction, customer-experience signals).
Manage stakeholder communication – regularly update O2C and P2P process owners, shared-services leadership, function leaders in sales/customer service/administration, and executive sponsors on portfolio progress, agent roadmap, and community-of-practice outcomes.

Benefits

Multiple plan options for Medical, Dental, Vision, and Prescription Drug benefits.
Life Insurance coverage for you and options for your family.
Flexible Spending Accounts.
Disability Benefits at no cost to you.
Profit Sharing Plans.
401(k) Savings Plan with company match.
Paid Vacation & Sick Days.
Paid Holidays.
Paid Wellness Day.
Community Time Off.
Educational Reimbursement and Career Development Programs.