Data & Analytics Product Owner
1 day ago
Overview
- The Product Owner – Data / Analytics leads the strategy, roadmap, and execution of our analytics product portfolio, with a primary focus on our vSight dashboard development process. This role partners closely with stakeholders, developers, and data engineers to define and deliver data products that drive decision-making and operational efficiency in revenue cycle management.
Responsibilities
- 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 cross-functional initiatives with business operations, data governance, and IT teams.
- 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.
Qualifications
- 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
- Proven experience leading cross-functional product development teams in an Agile environment.
- Strong background in dashboarding and reporting tools (Power BI preferred), with knowledge of data warehouse environments such as Snowflake.
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