Data Quality Product Owner [Remote]

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Data Quality Product Owner based in the United States.

Join a data-driven environment where you will take ownership of enterprise-wide data quality and governance initiatives that directly impact how business-critical decisions are made. In this role, you will define and drive the product vision for data quality, ensuring that data across the organization is accurate, consistent, and trusted. You will collaborate with engineering teams, business stakeholders, and data governance specialists to design scalable solutions and improve end-to-end data reliability. This position offers the opportunity to lead high-impact initiatives in an Agile setting while shaping data standards and governance frameworks at scale. If you enjoy combining product ownership with deep data expertise and thrive in cross-functional environments, this role provides a strong platform to influence enterprise data strategy.

Accountabilities

• Own and manage the data quality and data governance product roadmap, prioritizing initiatives and maintaining a clear, value-driven backlog aligned with business goals.
• Define and implement enterprise data quality frameworks, including data standards, business rules, monitoring systems, remediation workflows, and stewardship processes.
• Establish and track key data quality metrics and KPIs to ensure improvements in accuracy, completeness, consistency, and reliability across enterprise datasets.
• Collaborate with business stakeholders, data engineers, architects, analysts, and data stewards to gather requirements and translate them into actionable user stories and acceptance criteria.
• Lead Agile delivery processes, including sprint planning, backlog refinement, and release coordination using Jira, while maintaining documentation in Confluence.
• Partner with technical teams to design and optimize automated data quality rules, validation processes, and monitoring capabilities across enterprise platforms.
• Promote and enforce data governance best practices, including metadata management, data lineage, stewardship, and compliance with internal standards.
• Identify opportunities for process optimization and drive improvements that enhance operational efficiency and reduce data-related risks.
• Serve as the primary owner accountable for product outcomes, ensuring timely delivery of scalable and high-quality data solutions.

Requirements

• 7+ years of experience in Data Management, Data Governance, Data Quality, or Product Ownership roles.
• Proven experience as a Product Owner leading enterprise-level data quality or data governance initiatives.
• Strong understanding of data governance frameworks, data quality principles, metadata management, and data stewardship practices.
• Hands-on experience with tools and platforms such as Informatica Intelligent Cloud Services (IICS), Monte Carlo, Microsoft Azure, Databricks, and SQL.
• Strong experience working in Agile/Scrum environments using tools such as Jira and Confluence.
• Excellent analytical and problem-solving skills with the ability to manage complex, cross-functional data initiatives.
• Strong communication and stakeholder management skills, with the ability to influence both technical and business audiences.
• Demonstrated ability to work independently, take ownership, and drive initiatives from concept to completion.
• Familiarity with data lineage, master data management (MDM), and compliance-driven data governance is a strong advantage.
• Product certifications such as CSPO or SAFe Product Owner/Product Manager are considered a plus.

Benefits

• Fully remote position within the United States.
• Opportunity to lead enterprise-scale data quality and governance initiatives with high business impact.
• Work in a collaborative, Agile-driven environment with cross-functional exposure.
• Opportunity to shape data standards, frameworks, and governance practices across the organization.
• Exposure to modern data platforms and tools including Azure, Databricks, and enterprise data quality solutions.
• Professional growth opportunity in a high-ownership product leadership role.
• Competitive compensation aligned with experience and market benchmarks.
• Engagement in strategic initiatives that improve data trust and decision-making across the business.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

#LI-CL1

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.