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# Product Owner

- **Company:** ASCENT SERVICES GROUP LLC
- **Location:** Seattle, WA, United States
- **Experience:** Expert
- **Salary:** $140,000.0 - $150,000.0
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Data Governance, Data Infrastructure, Python (Programming Language), Scrum Methodology, SQL Databases, Workflow Management Systems, Data Inconsistencies, Data Pipelines
- **Published:** June 6, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=c3688f0f3a2613f4

## About the Role

Do you have experience in Technical Proficiency?, * 8+ years of experience in data product management, data governance, or data platform roles

 * Advanced proficiency in Python and SQL for data analysis, validation, and troubleshooting
 * Experience with data pipelines and orchestration tools, * Experience in leading data readiness for platform launches
 * Strong understanding of data governance principlesAbility to work cross-functionally with various teams

## Description

* Data Readiness & Launch Execution (Primary Accountability)
*

 + Define and lead data readiness strategy for platform launches, ensuring alignment with overall delivery timelines
 + Establish and enforce criteria for production-ready data (quality, completeness, governance, usability)
 + Identify and mitigate data-related risks that could impact go-live or adoption
 + Serve as the data authority within the cross-functional delivery team
 * Backlog Ownership & Agile Delivery
*

 + Own and actively manage the data backlog, including defect remediation, enhancements, and governance initiatives
 + Translate business, regulatory, and data issues into clear user stories and technical requirements
 + Prioritize work based on launch readiness, risk, and business impact
 + Drive sprint planning, execution, and delivery accountability in partnership with engineering teams
 * Data Issue Resolution & Quality Management
*

 + Lead structured resolution of data inconsistencies, gaps, and conflicts across systems
 + Perform and guide root cause analysis to ensure issues are resolved systematically, not operationally patched
 + Partner with business teams to clarify data definitions, ownership, and correction requirements
 + Embed learnings into backlog prioritization and governance controls
 * Specification Data Subject Matter Expertise
*

 + Develop deep expertise in data, including structure, hierarchy, and regulatory implications
 + Drive standardization, consistency, and usability across datasets and platforms
 + Act as the primary liaison for business teams resolving specification-related data issues


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