Director, Product Management, Nursing Health Education

RELXMedford, MA
$136,100 - $252,800

About The Position

Director, Product Management Are you ready to lead the future of AI-enabled learning in healthcare education and make a measurable impact on clinical outcomes? Do you want to shape innovative products and guide a high-performing team delivering cutting-edge simulation and learning solutions? About our Team Elsevier Health applies innovation, facilitates insights, and helps drive more informed decision-making for our customers across global health. We support health providers by providing accessible, trusted evidence-based information; prepare more medical and nursing students with effective tools and resources; provide insights that help clinicians improve patient outcomes; and support a more personalized and localized healthcare experience. All for the benefit of every patient. About the Role The Director, Product Management, Shadow Health leads the product team and drives the strategy for innovative, AI-enabled clinical learning solutions. This role is responsible for shaping the product roadmap, advancing AI capabilities, and delivering measurable learning outcomes while building and developing a high-performing product management team.

Requirements

  • Bachelor’s or Master’s degree or equivalent experience
  • Have at least 10 years product management experience
  • Have prior experience managing successful product suites that met growth commitments.
  • Be able to translate complex AI and data strategy clearly for technical and non-technical stakeholders.
  • Have shipped AI-enabled products where AI was central to measurable outcomes, including ownership of data and evaluation strategy.
  • Have ability to communicate direction, purpose, and how work connects to broader organizational goals
  • Demonstrate success hiring, leading and developing product management talent.

Responsibilities

  • Lead the product strategy, roadmap, and execution for Shadow Health solutions, with a focus on AI-enabled clinical simulation, precision learning, and measurable learner outcomes.
  • Define and advance the AI strategy, including data loops, evaluation frameworks, and build, buy, or partner decisions that create durable product differentiation.
  • Use customer insight, market trends, competitive intelligence, and performance data to prioritize opportunities and guide product decisions.
  • Partner with engineering, data science, sales, marketing, and customer-facing teams to deliver products, launches, positioning, pricing, and adoption plans.
  • Establish product KPIs and evaluate success across learning outcomes, AI quality, customer adoption, revenue impact, and business performance.
  • Communicate product vision and AI strategy clearly to technical and non-technical stakeholders, including academic and executive audiences.
  • Recruit, manage, coach, and develop a high-performing product management team.

Benefits

  • shared parental leave
  • study assistance
  • sabbaticals
  • annual incentive bonus
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