Data Quality Product Owner - Government

Position Summary 

We are seeking a dynamic and detail-oriented Business Product Owner to join our team under the leadership of the Chief Data and Analytics Office (CDAO). This role will be responsible for prioritizing strategic data quality enhancements in alignment with business value and enterprise objectives.  In this pivotal role, you will collaborate with cross-functional teams to identify data quality gaps, develop actionable plans, and ensure the successful implementation of solutions that enhance the integrity and reliability of our data assets.  

Key Responsibilities 

Product Ownership & Backlog Management 

• Serve as the product owner for government and public sector data quality initiatives backlog 

• Drive data quality initiatives on improving the accuracy of our Government, Public Sector and Education account data that’s leveraged in critical business processes throughout the enterprise with focus on organization hierarchy structures 

• Collaborate with stakeholders to capture, refine, and prioritize data quality initiative requests, accurately assessing business impact and value 

• Obtain understanding of relevant business areas, technical options, limitations, costs and risks to communicate tradeoffs and recommend solutions or suggest alternatives to proposed solutions to shape requirements 

• Independently drive critical data workshops with business and IT stakeholders to develop requirements and execution process while managing dependencies across teams 

• Actively lead and participate in regular backlog grooming sessions and sprint planning, ensuring data quality enhancements are well-defined, prioritized, and aligned with strategic goals 

• Define and communicate acceptance criteria, ensuring that delivered solutions meet stakeholder expectations 

• Maintain transparency into prioritization decisions through clear documentation and stakeholder engagement 

Stakeholder Engagement 

• Serve as the primary point of contact for various stakeholder groups regarding government/public sector data quality initiative efforts 

• Translate business needs into data quality requirements and communicate effectively with both technical and non-technical audiences 

• Manage expectations and maintain alignment across competing priorities 

• Provide updates and insights to stakeholder leadership on request status, impact, and value delivered 

Data Quality Management 

• Collaborate with data stewards to ensure accurate and timely validation, enrichment, and remediation of data across account, contact, and enterprise domains 

• Lead data analysis on data quality initiative impact and value, ensuring data-driven decision-making in prioritizing steward efforts to align with enterprise strategy and objectives 

• Monitor and report on key data quality metrics, trends, and issue root causes 

• Ensure adherence to enterprise data governance policies and frameworks 

Qualifications 

Required: 

• 5+ years of experience in data product management, business analysis, or data quality roles 

• Demonstrated experience and knowledge of Government/Public sector organizations, hierarchies, and structure 

• Bachelor’s degree in Business, Information Systems, Data Science, or a related field required 

• Demonstrated experience working with cross-functional teams in a data-centric capacity 

• Strong understanding of data domains such as account, contact, and enterprise hierarchies 

• Strong analytical and problem-solving skills, with the ability to analyze complex business processes and data to think creatively and identify innovative business solutions 

• High level of attention to detail and accuracy in data analysis and documentation 

• Experience managing cross-functional priorities and maintaining a product backlog 

• Excellent verbal and written communication skills, with the ability to effectively communicate complex concepts to stakeholders at all levels  

• Proficiency with data analysis tools and software (such as SQL, Excel, Tableau, or Power BI), and understanding of business intelligence and reporting technologies