To be successful in this role you will need the following
Balances stakeholders - Anticipating and balancing the needs of multiple stakeholders.
Business insight - Applying knowledge of business and the marketplace to advance the organization’s goals.
Communicates effectively - Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences.
Customer focus - Building strong customer relationships and delivering customer-centric solutions.
Global perspective - Taking a broad view when approaching issues, using a global lens.
Manages conflict - Handling conflict situations effectively, with a minimum of noise.
Agile Systems Thinking - Embraces a holistic approach to analysis that focuses on the way that a system's constituent parts interrelate and how systems work over time and within the context of larger systems to ensure the economic success of the solution.
Building High Performance Teams - Identifies and applies critical skills and Lean-Agile principles and practices in the creation of high-performing Agile teams to construct high-quality, well designed technical solutions.
Lean Agile and SAFe Mindset - Advocates for and leads others in the concepts of the Agile Manifesto and Lean thinking in support of adopting and applying the 9 SAFe principles and practices for the organization.
Lean Portfolio Management, budgets, and Economic Framework - Applies Lean and systems thinking approaches in support of strategy, investment funding, Agile portfolio operations, and governance; evaluates working systems; manages Epic investments and dynamic budget adjustments to minimize overhead through funding and empowering Value Streams while maintaining financial and fit-for-use governance to minimize overhead; assesses and supports decision rules that align to the financial objectives of the Solution to guide the economic decision-making process.
Planning and Managing Ceremonies - Plans, schedules, and leads ceremonies that create a cadence for the team to maximize productivity, promote collaboration, maintain transparency, and inspect and adapt so the team can continuously learn and improve.
Program Backlog Management and User Story Elaboration - Identifies, refines, prioritizes, and sequences backlog items using Weighted Shortest Job First (WSJF) to ensure the economic success of the solution; determines the details of a product feature to ensure that any unanswered questions about it are answered so that development can proceed.
Values differences - Recognizing the value that different perspectives and cultures bring to an organization.
Education, Licenses, Certifications
College, university, or equivalent degree in Computer Science, Information Technology, Business, or related subject, or relevant equivalent experience required.
SAFe® Product Owner/Agile Product Manager (POPM) or SAFe® Agile Product and Solution Management certifications are preferred.
This position may require licensing for compliance with export controls or sanctions regulations.
Experience
Significant business and technical knowledge with practical experience of the Lean methodology, principles and tools are preferred.
Experience working in an Agile Environment is preferred.
Significant experience as a Product Owner is preferred.
Job Summary
Drives the strategy, development, and adoption of the IT Agentic AI Framework - a foundational platform enabling teams across the IT organization to design, build, and deploy intelligent software agents at scale. The ideal candidate bridges the evolving agentic AI landscape and strategic enterprise IT goals, translating complex multi-agent architectures into governed, reusable capabilities that accelerate solution delivery.
Key Responsibilities
Own the product roadmap for the Agentic AI Framework, prioritizing orchestration capabilities, agent library governance, and developer enablement across agent teams and solution builders
Serve as a trusted advisor to engineering teams, solution architects, and business stakeholders on agent design patterns, MCP-based tool integration, orchestration best practices, and context management strategies
Define and own the enterprise orchestration strategy, establishing standard patterns for sequential, parallel, hierarchical, and event-driven multi-agent workflows adopted across the organization
Govern the selection, configuration, and evolution of the core orchestration engine - evaluating frameworks (LangGraph, CrewAI, AutoGen, or equivalent SaaS offerings) against enterprise scalability, reliability, and governance requirements
Define and govern the enterprise agent library - overseeing intake, versioning, approval workflows, and lifecycle management of reusable agents, tools, and MCP server endpoints
Partner with AI architects, security, and compliance teams to embed TRiSM standards into the framework - including explainability, behavioral guardrails, prompt injection defense, and AI risk governance
Lead enablement for internal agent teams, solution advisors, and domain developers adopting the framework, ensuring teams build confidently on shared infrastructure
Track the agentic AI ecosystem - emerging standards (MCP, A2A, OpenTelemetry for agents), open-source frameworks, and vendor capabilities - and translate findings into actionable roadmap recommendations
Define requirements, milestones, and acceptance criteria for framework deliverables in alignment with the AI Center of Excellence
Competencies
Agentic Orchestration Expertise: Deep working knowledge of multi-agent coordination patterns - supervisor/worker, peer-to-peer, fan-out/aggregation, ReAct, and plan-and-execute - and the ability to prescribe the right pattern for enterprise use cases
Orchestration Platform Fluency: Hands-on familiarity with orchestration frameworks (LangGraph, CrewAI, AutoGen, Temporal, or equivalent), durable execution models, state management, and workflow failure recovery patterns
Agentic AI Alignment: Translates business goals into framework capabilities - orchestration patterns, solution accelerators, and reusable agent components that reduce time-to-value
Platform Expertise: Deep understanding of orchestration frameworks, MCP protocol, RAG architectures, LLM gateway patterns, agent memory management, and multi-agent coordination
AI Governance & TRiSM: Embeds trust, risk, security, and privacy controls by design - guardrails, audit logging, agent cards, and anomaly detection
Cross-Functional Partnership: Operates effectively across AI engineering, enterprise architecture, security, data governance, and business solution teams
Innovation Awareness: Maintains current knowledge of the agentic AI ecosystem and proactively shapes the framework roadmap as standards and tooling evolve
Balances Stakeholders | Customer Focus | Global Perspective | Values Differences
Education, Licenses, Certifications, Experience
Degree in Computer Science, Information Systems, Engineering, or related field
4-6 years in product management, platform engineering, or technical program management - minimum 2 years in AI, ML, or enterprise software platforms
Hands-on with agentic AI concepts: LLM tool-calling, multi-agent orchestration, MCP, RAG, and agent memory patterns
Strong communicator - able to translate complex agentic architecture for both engineering teams and executive audiences
