Hybrid on Site in Union Square. The Product Owner – Data Governance will serve as a key product owner and data steward supporting Customer Operations' data governance and data quality workstream. This role will be responsible for helping Customer Operations maximize the value, quality, transparency, and usability of its data while ensuring appropriate governance standards, policies, processes, and controls are established and maintained. The Product Owner will work closely with Customer Operations business stakeholders, IT, data owners, the Customer Analytics program, and the enterprise Data Governance Office (DGO). The role will translate business needs and data challenges into prioritized product initiatives, features, user stories, governance requirements, and data quality improvements. Customer Operations is an early adopter of Con Edison's analytics and data-driven capabilities. As new analytics use cases are developed and additional data sources are integrated, the organization is identifying opportunities to improve data quality, governance, metadata management, and controls. The successful candidate will have an opportunity to influence how data governance standards are established and applied within Customer Operations, while helping ensure those practices support current and emerging analytics and AI use cases. MUST HAVE technologies1. Data Governance (policies, standards, controls, stewardship)2. Product Backlog Management (epics, features, user stories, acceptance criteria)3. Data Quality Management (profiling, issue identification, quality controls)4. Metadata Management & Data Catalog Management5. Agile/Scrum Product OwnershipMUST HAVE Critical Skills1. Product Owner experience managing roadmap and backlog priorities2. Ability to translate business needs into requirements, user stories, and governance initiatives3. Strong stakeholder management across business, IT, analytics, and data teams4. Data Governance and Data Quality leadership experience5. Ability to identify gaps, root causes, and drive process improvementsNICE TO HAVE technologies / Skills1.Utility industry experience or heavily regulated industry2.SQL for data analysis, validation, and investigation3.Data Catalog tools (Collibra, Alation, Informatica, Microsoft Purview, etc.)4.Power BI, Tableau, or other analytics/reporting tools5.Experience supporting AI, advanced analytics, or data-driven business initiatives6. Experience with Oracle Customer Care & Billing (CC&B)