Product Owner

Job Description

• Own and execute the product vision and roadmap for AI‑driven agents, Copilot solutions, and Microsoft Power Platform capabilities within the Digital Experience portfolio.
• Lead enterprise adoption of AI‑enabled workflows, copilots, and automation, translating emerging technology into practical, employee‑facing productivity gains.
• Serve as the primary Product Owner for AI and Power Platform products focused on enablement, adoption, and scalable low‑code/no‑code solutions.
• Partner closely with Agile delivery teams, UX, engineering, analytics, and business stakeholders to continuously deliver value.
• Drive backlog prioritization, release planning, and coordination across multiple teams and lines of business.
• Act as the voice of the customer, identifying pain points and opportunities, and translating them into clear product requirements and solutions.
• Evangelize AI capabilities and modern ways of working, influencing adoption across senior leaders and cross‑functional teams.
• Ensure solutions align with responsible AI principles, governance standards, and enterprise compliance requirements.

Required Skills & Experience

• Bachelor’s degree in Information Systems, Computer Science, Business, or related field (or equivalent experience).
• 7 years of relevant experience in product ownership or product management.
• Proven experience owning and delivering enterprise digital products.
• Strong understanding of the Microsoft ecosystem, including:
• Copilot Studio
• Power Apps
• Power Automate
• AI Builder
• Demonstrated experience building and managing product roadmaps, backlogs, and release plans in an Agile environment.
• Hands‑on Product Owner experience with AI‑driven solutions, automation, and low‑code/no‑code platforms.
• Strong stakeholder management and communication skills, with the ability to influence across business and IT.
• Experience working in Agile/Scrum delivery models; Product Owner or Agile certification strongly preferred.
• Solid understanding of data governance, responsible AI, and enterprise compliance considerations.

Nice to Have Skills & Experience

• Agentic AI expertise (designing, deploying, or scaling AI agents in enterprise environments).
• Experience driving organization‑wide AI adoption or digital transformation initiatives.
• Background working in large, complex, or regulated enterprise environments.
• Strong UX sensibility and experience partnering closely with UX teams.
• Experience evangelizing AI and automation capabilities to non‑technical audiences.
• Familiarity with energy, industrial, or adjacent enterprise domains.