Generative AI Product Owner
Scope of Position
The Generative AI Product Owner reports to the VP, Intelligent Process Automation and the Generative AI Product Owner is responsible for defining, delivering, and continuously improving enterprise-grade Generative AI capabilities, with an initial and primary focus on Microsoft Copilot across M365, Power Platform, and integrated business applications with a consideration for SAP Joule, BTP, and S/4 HANA. This role sits at the intersection of business value, user experience, and technology execution.
Primary Job Duties and Responsibilities
Own the Generative AI product vision and roadmap, with primary focus on Microsoft Copilot across M365 and Power Platform along with developments in SAP Joule
Define and track measurable outcomes tied to productivity, cost reduction, and business enablement
Identify and prioritize high-value GenAI use cases across enterprise functions
Lead enterprise rollout and adoption of AI Solutions, ensuring they are embedded into real business workflows
Conduct training and workshops on copilot and other power applications to drive personal productivity. Educate end users on compliance and governance
Own and prioritize the GenAI product backlog, translating business needs into clear, secure user stories
Partner with engineering and platform teams to deliver GenAI capabilities using agile, incremental delivery
Ensure all GenAI solutions comply with AI governance, security, privacy, and Responsible AI standards
Own and interface as the primary GenAI product between IT, business leaders, and executive stakeholders
Required Qualifications
5+ years of experience as a Product Owner, Product Manager, or similar role in IT or digital platforms
Hands-on experience delivering Microsoft and SAP ecosystem solutions (M365, Power Platform, Azure, Joule, BTP, S/4 HANA)
Practical exposure to Generative AI tools, preferably Microsoft Copilot or similar enterprise AI platforms
Experience working in regulated or enterprise environments with strong security and governance requirements
Strong understanding of: Agile product delivery and backlog management, Enterprise productivity tools and workflows, Data privacy, security, and AI risk considerations
Ability to translate business problems into product features and measurable outcomes
Preferred Qualifications
Excellent communication and stakeholder management skills
Experience with Microsoft Copilot Studio, Power Automate, Power Apps, or Azure OpenAI or SAP Joule, BTP, ABAP
Familiarity with Responsible AI frameworks and AI governance models
Experience driving technology adoption and change at scale
Background in manufacturing, industrial, or B2B environments