Senior Product Owner – Data Platforms at Q2 in Cary, NC

  • Company: Q2
  • Location: Cary, North Carolina
  • Job type: full time
  • Workplace: hybrid
  • Posted: 2026-10-14

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Job description

As passionate about our people as we are about our mission. Why Join Q2? Q2 is a leading provider of digital banking and lending solutions to banks, credit unions, alternative finance companies, and fintechs in the U.S. and internationally. Our mission is simple: build strong and diverse communities through innovative financial technology—and we do that by empowering our people to help create success for our customers. What Makes Q2 Special? Being as passionate about our people as we are about our mission. We celebrate our employees in many ways through our year-round Q2 ChangeMakers awards program and global moments of recognition and connection. We invest in the growth and development of our team members through ongoing learning opportunities, internal mobility, and meaningful leadership relationships. We also know that nothing builds trust and collaboration like having fun and giving back together. From company-wide volunteer days to events like our Q2 Homecoming Week—featuring learning, community service, and culture-building experiences—we create opportunities to connect, grow, and make an impact. ABOUT PRECISIONLENDER PrecisionLender is the relationship pricing and profitability platform trusted by commercial banks and financial institutions to win better deals, grow profitable relationships, and make smarter decisions at the point of negotiation. Our platform combines real-time pricing intelligence, market benchmarking, and AI-assisted guidance to help bankers structure deals that are good for their customers and good for their institution. Our product suite includes analytics, a virtual coach, and a skills suite — purpose-built to give bankers the insights they need to price relationships confidently and profitably. SUMMARY The Senior Product Owner – Data Platforms will own the day-to-day definition, prioritization, and delivery of PrecisionLender’s foundational data platform capabilities, spanning data ingestion, processing, transformation, storage, and downstream consumption across Data Studio, Data Explorer, Data Library, BI platforms, and Q2 Assistant. Working closely with the Product Manager, Engineering, Data, and other Product partners, this role will translate data platform strategy into well-defined, executable requirements and prioritized backlogs . The Product Owner will serve as the primary product partner to Engineering throughout delivery—clarifying requirements, managing dependencies and tradeoffs, defining data quality expectations, and validating that capabilities are reliable and ready for downstream use. The role will play a critical part in the migration from ADLS to Snowflake , modernization of the data platform, reduction of technical debt, and creation of scalable, trustworthy data foundations for PrecisionLender’s analytics and AI capabilities. RESPONSIBILITIES Own and continuously prioritize the data platform backlog , spanning ingestion, processing, transformation, storage, data quality, and downstream consumption. Translate product strategy and business needs into clear epics, features, user stories, acceptance criteria, and delivery plans . Serve as the day-to-day Product partner to Data Engineering , answering questions, refining requirements, resolving ambiguity, and making timely scope and prioritization decisions. Partner with the Product Manager to translate roadmap priorities into executable work and communicate delivery risks, dependencies, and tradeoffs. Define and validate requirements for data quality, normalization, reliability, lineage, availability, and performance across platform capabilities. Coordinate dependencies across Data Engineering, Product, Analytics, Q2 Assistant, Integrations, and other downstream consumers of PrecisionLender data. Lead backlog refinement, sprint planning support, acceptance testing, and product validation to ensure delivered capabilities meet requirements. Ensure new and migrated data capabilities are ready for downstream use across analytics, repo

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