Senior Product Owner – Data Platforms

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, reporting, BI, and AI-powered experiences.
• Maintain clear visibility into delivery status, blockers, dependencies, data quality concerns, and scope changes for Product and Engineering leadership.

EXPERIENCE AND KNOWLEDGE

• Typically requires a minimum of 8 years of related experience with a Bachelor’s degree; or 6 years and a Master’s degree; or a PhD with 3 years experience; or equivalent experience.
• Demonstrated software product management experience, including strategy and delivery ownership for data, platform, or infrastructure products.
• Experience with data pipelines, ingestion, ETL/transformation, storage, and data quality/governance.
• Experience with platform modernization or cloud data warehouse migrations; Snowflake preferred.
• Technical fluency to effectively partner with Engineering on data architecture, reliability, and scalability.
• Experience ensuring analytics, reporting, or AI products are built on reliable data foundations.
• Financial services, commercial banking, or regulated B2B SaaS experience preferred.
• Strong leadership, communication, analytical, and cross-functional collaboration skills.
• Experience with user analytics and AI tools in product workflows is a plus.

This position requires fluent written and oral communication in English.

Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

Health & Wellness

Hybrid Work Opportunities

Flexible Time Off

Career Development & Mentoring Programs

Health & Wellness Benefits, including competitive health insurance offerings and generous paid parental leave for eligible new parents

Community Volunteering & Company Philanthropy Programs

Employee Peer Recognition Programs – “You Earned it”

Click here to find out more about the benefits we offer.

Our Culture & Commitment:

We’re proud to foster a supportive, inclusive environment where career growth, collaboration, and wellness are prioritized. And our benefits go beyond healthcare—offering resources for physical, mental, and professional well-being. Click here to find out more about the benefits we offer. Q2 employees are encouraged to give back through volunteer work and nonprofit support through our Spark Program (see more). We believe in making an impact—in the industry and in the community.

We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, or veteran status.

Applicants in California or Washington State may not be exempt from federal and state overtime requirements