Senior Data Products Owner – Data Platform & Analytics

CommunityAmerica Federal Credit Union; Lenexa (KS); On-site; USD 120,000 - 150,000; Full time

Job summary

CommunityAmerica Federal Credit Union in Lenexa, Kansas seeks a Senior Technical Product Owner - Data Products to lead data product strategies and delivery for their data warehouse and lakehouse initiatives. The role collaborates with analytics, data science, and IT to define data capabilities, KPIs, and consumption-ready datasets.

The ideal candidate will own roadmaps, prioritize backlogs, and guide cross-functional teams through epics, features, and user stories to realize measurable outcomes.

Qualifications

• Experience delivering data products in data warehouse/lakehouse environments.
• Ability to develop data models, business definitions, KPI specifications.
• Strong agile/scrum leadership and backlog management.

Responsibilities

• Deliver and continuously improve Data Warehouse/Lakehouse data products and solutions.
• Partner with business leaders, Analytics & Data Science teams, and other stakeholders to understand objectives; identify required data, metrics, and capabilities; align data product direction to outcomes.
• Develop conceptual and logical data models and KPI specifications to support product capabilities.
• Define data curation and pipeline requirements for trusted, consumption-ready datasets.
• Prioritize capabilities and translate into epics, features, user stories, and acceptance criteria.
• Lead Agile/Scrum execution, support solution design with data architects/engineers, contribute to estimation and sprint planning, maintain prioritized backlog.
• Develop and communicate roadmaps to drive evolution of data products and platforms.
• Track adoption and value realization; drive continuous improvement.

Job description

CommunityAmerica Federal Credit Union in Lenexa, Kansas seeks a Senior Technical Product Owner - Data Products to lead data product strategies and delivery for their data warehouse and lakehouse initiatives. The role collaborates with analytics, data science, and IT to define data capabilities, KPIs, and consumption-ready datasets.

The ideal candidate will own roadmaps, prioritize backlogs, and guide cross-functional teams through epics, features, and user stories to realize measurable outcomes.