Infinity Quest
Technical Product Owner – Data Modernization
Skills
13 hours ago
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Important information
Contract type:
Permanent
Location:
Atlanta, GA, USA
Work mode:
Onsite
Published on:
22 October 2026
What they need
Job Title: Technical Product Owner – Data Modernization
Employment Type: Full-Time (FTE)
Work Authorization: USC | GC | H-1B | EAD
Location: USA – Onsite; US location flexible, with collaboration across teams in Atlanta and Miami
Experience: 12+ years preferred; proven enterprise data modernization implementation experienc
Ready to own the roadmap for a major enterprise data transformation? This role puts you at the intersection of Data Engineering, Cloud Modernization, Product Strategy & Executive Leadership.
THE OPPORTUNITY
Lead a large-scale modernization initiative transforming a 12–13-year-old enterprise data warehouse into a modern data platform. Drive strategic priorities, align technology and business stakeholders, and shape delivery milestones through 2027 and beyond.
Key Responsibilities
- Own and maintain monthly and quarterly product roadmaps.
- Define, refine, and prioritize Epics, Features, User Stories, and Tasks.
- Translate business objectives and technical capabilities into actionable delivery plans.
- Drive prioritization and negotiate trade-offs across business, IT, vendors, and implementation partners.
- Engage directly with CIO/CIO-1 and senior technology stakeholders.
- Assess platform capabilities, technical dependencies, risks, and architectural trade-offs.
- Coordinate with cloud and data platform vendors and delivery teams.
Required Skills
- Enterprise Data Warehouse Modernization
- Microsoft Azure, Databricks, Cloudera
- SQL, SSIS, Power BI
- Apache Iceberg and Medallion Architecture (Bronze/Silver/Gold)
- Product Roadmapping, Backlog Management, Agile Requirements
- Executive Stakeholder Management and Vendor Coordination
- Strong technical understanding of cloud-based data platform implementations
Preferred Qualifications
- Prior ownership of large-scale data modernization implementations.
- Experience with legacy warehouse migration and complex data ecosystems.
- Ability to quickly assess new platform technologies and dependencies.
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