Product Owner (Data Quality & Data Enrichment)

About the Role

Key Responsibilities

• Serve as the product owner for the enterprise data quality initiatives backlog
• Collaborate with stakeholders to capture, refine, and prioritize data quality initiative requests, accurately assessing business impact and value
• 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
• Serve as the primary point of contact for stakeholder groups (Sales, Service, Marketing, Territory Planning, and other support teams) regarding 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
• 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
• Identify patterns in data issues and contribute to longer-term, scalable solutions to recurring data quality challenges
• Champion data stewardship and contribute to the evolution of the data quality operating model
• Partner with data governance, data architecture, and analytics teams to ensure validation efforts align with broader enterprise data strategy

Requirements

• 5+ years of experience in data product management, business analysis, or data quality roles
• Bachelor's degree in Business, Information Systems, Data Science, or a related field
• 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
• Familiarity with Agile methodologies and tools, including Jira experience

Nice to Have

• Experience working with data governance frameworks
• Knowledge of enterprise data strategy and architecture
• Experience in data validation, enrichment, and remediation processes

Qualifications

• Bachelor's degree in Business, Information Systems, Data Science, or a related field
• 5+ years of experience in relevant roles

Benefits & Perks

• Competitive compensation
• Limitless growth and learning opportunities
• A collaborative and positive culture
• Work from home flexibility and dynamic office collaboration
• 20+ PTO days plus holidays and floating holidays in the first year
• Extensive medical, dental insurance and vision plan
• 401K with corporate match, immediate vesting
• Health-and-wellness-related allowance programs
• Parental leave
• Tuition reimbursement
• Employee Stock Purchase Plan
• Employee Assistance Program
• Gartner Gives Charity Match