Senior Product Owner Revenue Cycle Data & Analytics

Define and own the product vision, strategy, and roadmap for Ventra’s analytics and dashboarding products.

Lead product discovery with internal stakeholders across the revenue cycle to identify data needs and align product priorities with business goals.

Translate complex business problems into clear, scalable product solutions, balancing short-term needs with long-term architecture and data strategy.

Partner with Power BI developers and data engineers to deliver robust, intuitive dashboards built on trusted, well-modeled data.

Prioritize the product backlog, manage sprint planning, and drive release planning using Agile tools, preferably Azure DevOps.

Develop and maintain documentation, user guides, and technical specifications using Confluence.

Evaluate product performance, define success metrics, and iterate based on user feedback and data usage patterns.

Coordinate and bridge cross-functional initiatives with business operations, data governance, and IT teams keeping product vision at the forefront.

Support stakeholder communications and occasionally participate in client discussions to represent product vision and roadmap.

Champion a data product mindset across the organization, promoting the value of clean, actionable data.

Drive the product lifecycle from inception to delivery, ensuring that key milestones are met in a timely manner.

Mentor product analysts and product owners and drive the adoption of product best practices.

Bachelor’s degree in Business, Computer Science, Information Systems, or a related field (Master’s preferred).

6–9+ years of experience in data product management, business intelligence, or analytics-focused roles.

CSPO Certification preferred

Proven experience leading cross-functional product development teams in an Agile environment.

Moderate to advanced proficiency in SQL and Excel.

Strong background in dashboarding and reporting tools (Power BI preferred), with knowledge of data warehouse environments such as Snowflake.