Product Owner - Data Governance (New York City Metropolitan Area)

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 technologies

1. 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 Management

5. Agile/Scrum Product Ownership

MUST HAVE Critical Skills

1. Product Owner experience managing roadmap and backlog priorities

2. Ability to translate business needs into requirements, user stories, and governance initiatives

3. Strong stakeholder management across business, IT, analytics, and data teams

4. Data Governance and Data Quality leadership experience

5. Ability to identify gaps, root causes, and drive process improvements

NICE TO HAVE technologies / Skills

1.Utility industry experience or heavily regulated industry

2.SQL for data analysis, validation, and investigation

3.Data Catalog tools (Collibra, Alation, Informatica, Microsoft Purview, etc.)

4.Power BI, Tableau, or other analytics/reporting tools

5.Experience supporting AI, advanced analytics, or data-driven business initiatives

• 6. Experience with Oracle Customer Care & Billing (CC&B)