Principal Technical Product Manager, Enterprise AI Workflow Enablement

About This Role

This Principal Technical Product Manager role is the engine that gets AI-redesigned workflows into production and keeps them there, scaling AI agents across the company without taking it over. You will partner with AI Champions inside each non-engineering function, applying approved enterprise blueprints to high-friction, repeatable workflows. Your success is measured by what the function can do after you leave, not by what you personally redesigned.

Responsibilities

• Drive blueprint-led redesign with AI Champions across non-engineering functions
• Apply approved blueprint patterns to prioritized workflows
• Coach Champions through configuration, integration, evaluation, and rollout in their real work
• Build and validate before you scale
• Personally prototype agentic workflow configurations, working closely with engineering partners and directly with LLM APIs or agent tooling to test feasibility
• Validate the design meets quality and reliability standards before a function adopts it
• Hold the line on blueprint standards
• Ensure every redesign uses approved workflow logic, agent configuration standards, integration patterns, governance guardrails, and measurement contracts
• Push back on bespoke designs that fragment the enterprise architecture
• Design redesigns to stick
• Set baselines before launch
• Instrument the pre-state with the Telemetry and Insights Lead
• Align role expectations and habits with HR Craft Leaders
• Validate the post-state
• Treat behavioral adoption as a design constraint from day one, not a retrofit
• Drive blueprint adoption, not workflow possession
• Ensure the redesigned workflow is the default execution model in production
• Ensure the function owns it after you step back, with the hand-off as the deliverable
• Surface friction back to platform and architecture
• Identify where blueprint patterns break down, where the platform is missing capability, and where governance creates drag
• Feed signal to the Enterprise Solution Architect and the platform engineering team
• Connect workflow redesign to workforce evolution
• Partner with HR Craft Leaders and the People & Places AI Workforce Transformation team to evolve role expectations, AI proficiency, hiring criteria, and learning pathways with the workflow
• Maintain the redesign portfolio view
• Make redesigns in flight, baselines committed, value captured, and risk visible at any moment
• Keep prioritization honest
• Resist pressure to take on work that does not meet the bar

Requirements