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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Product Owner - **Company:** Equifax - **Location:** Atlanta, GA, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Data Analysis, Software Applications, BigQuery, Business Software, Data Governance, Python (Programming Language), Meta-Data Management, SQL Databases, Data Streaming, Tableau (Software), Unstructured Data, Collibra, Looker Analytics, Data Pipelines - **Published:** August 14, 2026 - **Apply:** https://www.jofdav.com/jobs/59234207-data-product-owner ## About the Role * Bachelor's degree in related discipline * 2- 5 years of data analysis, product owner, and/or consulting experience regarding data,preferably financial services data * Familiarity with cloud and on prem technologies, structured and unstructured data, streaming and reposed data * Familiarity with SQL and BI Tools (Python, Looker, BigQuery, Tableau, etc.) and desktop application suites (Microsoft or Google) * 2-5 years of experience with data and business insights analysis which identify and drive ongoing excellence in data quality practices * A strong sense of governance protocols, the need to respect highly sensitive data and proactive attention to regulatory, security and compliance driven policies * Demonstrates leadership with cross-functional efforts; develops effective working relationships with peers, managers, and senior management within and across organizational lines * Experience with Collibra, or similar metadata management tool What could set you apart * Master's Degree strongly preferred ## Description Join us as a Data Product Owner and take a front-row seat in shaping the future of our innovative Alternative Finance data products. In this role, you will drive excellence across data pipelines and collaborate with cross-functional teams to implement cutting-edge data practices. If you are passionate about fueling business growth through high-quality data and want to make a tangible impact, we want to hear from you!, * Data Standards: Proficiency in fundamental data requirements, including discoverability, and trustworthiness; collaborate with cross-functional teams to uphold these technical supporting practices and asset interoperability * Business Initiatives: Active involvement in projects aimed at maximizing the strategic utility and business application of data assets * New Ventures: Participation in early-stage development cycles for emerging data product innovations. * Pipeline Proficiency: Comprehensive knowledge of data pipeline workflows, providing direct assistance for one or more core processes critical to the data product lifecycle. * Data Quality Initiatives: Direct accountability for building and supporting automated, threshold-driven reporting systems to pinpoint improvement areas; ensures rapid response to alerts based on commercial significance. * Operational Excellence: Leverage threshold-based analysis to detect and investigate inconsistencies; execute timely remediation plans that align with organizational priorities and impact. * Business Partnership and Consulting - Shares basic knowledge of the markets, strategies, and operating environments for a product * Depth of Technical Knowledge - Developing detailed knowledge of the data and technology supporting a data product * Product Thinking - Begins to apply Product Thinking in carrying out job responsibilities * Strategy Development and Implementation - Ability to communicate the strategy for a given data product to others * Technology Advising and Consulting - Shares basic knowledge about the technology supporting a data product * Technical Communication and Presentation - Ability to tune written and verbal technical communications to specific audiences ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Data Governance in the Era of AI](https://www.wearedevelopers.com/videos/1622-data-governance-in-the-era-of-ai) - [Making Data Warehouses fast. 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