Product Owner - Data Governance

Aquent is partnering with a leading organization at the forefront of innovation in a vital industry, dedicated to maximizing the value, quality, and usability of its critical data assets. This is an exceptional opportunity to make a significant impact by shaping the future of data governance and quality within a dynamic environment. You will play a pivotal role in establishing robust standards and practices that will empower advanced analytics and AI initiatives, directly contributing to the organization's strategic objectives and operational excellence.

About the Role

Step into a critical leadership position where you will drive the evolution of data governance and data quality for key operational areas. This role is not just about managing data; it's about transforming how the organization leverages its information, ensuring transparency, integrity, and strategic value. You will be instrumental in translating complex business needs and data challenges into actionable product initiatives, user stories, and governance requirements. Your influence will extend to shaping data governance standards that support cutting-edge analytics and artificial intelligence applications, making a tangible difference in how data-driven decisions are made.

What You'll Do

• Serve as a primary driver and data steward for data governance and data quality workstreams within operational teams.
• Collaborate closely with business stakeholders, technology teams, data owners, and enterprise data governance offices to align strategies.
• Translate diverse business needs and data challenges into clear, prioritized product initiatives, features, user stories, and governance requirements.
• Lead efforts to establish and maintain appropriate data governance standards, policies, processes, and controls.
• Drive improvements in data quality, metadata management, and data controls as new analytics use cases and data sources are integrated.
• Influence the application of data governance standards to ensure they effectively support current and emerging analytics and AI initiatives.
• Identify data gaps, pinpoint root causes of data issues, and implement process improvements to enhance data integrity and usability.

Required Skills & Experience

• Proven experience in Data Governance, including establishing policies, standards, controls, and stewardship programs.
• Expertise in Product Backlog Management, encompassing epics, features, user stories, and acceptance criteria.
• Strong background in Data Quality Management, including data profiling, issue identification, and implementing quality controls.
• Demonstrated proficiency in Metadata Management and Data Catalog Management.
• Solid experience with Agile/Scrum Product Ownership methodologies.
• Significant Product Owner experience, specifically managing roadmap and backlog priorities.
• Exceptional ability to translate complex business needs into clear requirements, user stories, and governance initiatives.
• Strong stakeholder management skills, capable of effectively collaborating across business, IT, analytics, and data teams.
• Demonstrated leadership experience in Data Governance and Data Quality.
• Adept at identifying gaps, analyzing root causes, and driving impactful process improvements.

Preferred Skills

• Experience within a heavily regulated industry.
• Proficiency in SQL for data analysis, validation, and investigation.
• Familiarity with Data Catalog tools such as Collibra, Alation, Informatica, or Microsoft Purview.
• Experience with Power BI, Tableau, or other analytics/reporting tools.
• Background in supporting AI, advanced analytics, or other data-driven business initiatives.
• Experience with Oracle Customer Care & Billing (CC&B).