Lead Product Manager

New
H
HopHealthcare analytics
Workplace type: RemoteFull-TimeLead
Salary not disclosed
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Job Details

Experience
7+ years’ experience in Product Management or Technical Product Management role; 5+ years’ experience running the day-to-day product execution with Data Science and/or Engineering teams on the ground; 3+ years’ experience working with SMEs to uncover nuances in ambiguous business problems and operational processes; 3+ years’ experience with stakeholder management; 3+ years’ demonstrated ability to drive outcomes in a complex environment; 2+ years’ experience building capabilities that leverage AI, ML or other advanced analytics
Required Skills
SQLAgileArtificial IntelligenceMachine LearningProduct ManagementData scienceMicrosoft Excel

Requirements

  • Have 7+ years of experience in Product Management or Technical Product Management.
  • Have 5+ years of experience running day-to-day product execution with Data Science and/or Engineering teams.
  • Have 3+ years of experience working with SMEs to uncover nuances in ambiguous business problems and operational processes.
  • Have 3+ years of experience with stakeholder management.
  • Have 3+ years of demonstrated ability to drive outcomes in a complex environment.
  • Have 2+ years of experience building capabilities that leverage AI, ML, or other advanced analytics.
  • Bring strong verbal and written communication skills.
  • Demonstrate prioritization and the ability to align senior stakeholders on a unified vision.
  • Bring Excel, SQL, analytics, and storytelling capability.
  • Have a track record of managing products throughout their lifecycle, especially from concept through launch.

Responsibilities

  • Deliver Smart Care solutions on time and align business and technical perspectives to support design decisions.
  • Set squad priorities, expectations, and shared outcomes; own the product backlog and facilitate scoping and prioritization.
  • Run day-to-day planning and ceremonies, champion Agile practices, and coordinate dependencies with teams and stakeholders.
  • Create user stories, acceptance criteria, and product specifications with technical captains for data science, engineering, and stakeholder teams.
  • Clarify requirements and facilitate technical feasibility discussions to support engineering and data science implementation.
  • Conduct user research, usability testing, and competitive analysis to inform product decisions and validate hypotheses.
  • Collaborate with designers on UX flows, wireframes, and product designs.
  • Define and analyze product performance metrics and identify opportunities for improvement.
  • Support release-management frameworks, proactive user support, and issue resolution.
  • Support business case development and roadmap planning with stakeholders and leadership.
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