Associate Technical Product Manager, Analytics

New
United StatesFull-TimeEntry
Salary not disclosed
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Job Details

Experience
2+ years
Required Skills
SQLAgileProduct ManagementSCRUMJiraData analytics

Requirements

  • Bachelor’s Degree in a related field.
  • 2+ years of analytics, product management, or similar technology experience in large healthcare organizations, product development, or SaaS platforms.
  • Demonstrated background in data, analytics, or related fields.
  • Experience participating in Agile/Scrum teams or using Agile methodology/concepts in product development.
  • Proficiency with project management and delivery tools such as JIRA or Trello.
  • Experience writing clear specifications, technical documentation, and user stories.
  • Experience evaluating workflows and operational processes, conducting user research, and using data to inform business decision-making.
  • Experience creating wireframes independently and/or in coordination with designers.
  • Excellent organizational and communication skills, with an emphasis on problem-solving, prioritization, and building subject matter expertise.
  • Knowledge of alternative payment models related to primary care (e.g., MSSP ACOs, commercial insurance shared savings).

Responsibilities

  • Work with internal teams and end users to develop a deep understanding of requirements, perform thoughtful solution design, use data to test hypotheses, and support teams throughout execution.
  • Partner with business owners to cultivate a shared vision for the problem space, constraints, priorities, and ideal end state, and be able to articulate and advocate for this perspective.
  • Write detailed user stories for new features, capturing detailed descriptions of business rationale, requirements, and success criteria that are defined by measurable outcomes.
  • Perform ongoing optimization of live user workflows and capabilities, including monitoring of key metrics and user feedback.
  • Develop short- and long-term roadmaps that deliver maximum value with minimum risk and assume ongoing iteration.
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