Job Description

Our vision:

To inspire new possibilities for the health ecosystem with technology and human ingenuity.

What is in it for you?

Seeking a Senior Technical Product Owner (TPO) to lead the roadmap, backlog, and delivery of an enterprise Data & Analytics Platform . The role bridges business stakeholders, BI teams, and engineering teams to ensure data, analytics, and reporting solutions are delivered effectively through Agile methodologies.

Location:

• Hybrid: Leawood, KS or Burlington, MA preferred
• Remote within the U.S. may be considered

Key Responsibilities:

• Own and prioritize the product backlog, features, and user stories.
• Manage sprint planning, feature development, and release delivery.
• Work closely with business, BI, and engineering teams.
• Translate business requirements into technical solutions.
• Create and maintain the product roadmap.
• Gather stakeholder requirements and incorporate feedback.
• Track product delivery against roadmap and business goals.
• Support Agile ceremonies and backlog refinement.
• Monitor product performance, UAT, and customer feedback.
• Drive communication, documentation, release notes, and training materials.
• Identify risks early and guide trade-off decisions.

Required Experience:

• 5+ years in Product Ownership, Product Management, Agile Delivery, Consulting, or IT.
• Experience working with cloud data platforms and BI tools such as:
  • Snowflake
  • Tableau
• Experience in Agile environments; SAFe is preferred.
• Strong stakeholder management and cross-functional collaboration skills.
• Experience managing platform-level products or shared services.
• Ability to prioritize competing demands and adapt to changing business needs.
• Excellent communication and leadership skills.

Required Skills:

• Product backlog management and prioritization.
• Writing features, epics, and user stories.
• Translating business requirements into technical solutions.
• Product roadmap planning and execution.
• Agile/Scrum/SAFe methodology knowledge.
• Strong problem-solving and analytical skills.
• Understanding of MVP (Minimum Viable Product) concepts.
• Strong digital and technology acumen.

Nice to Have:

• Bachelor's degree in Business, IT, Computer Science, or related field.
• Experience with AI-assisted analytics tools.
• Experience supporting enterprise data, analytics, and reporting platforms.

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