Among computer and information research scientists, AI is already used for a large share of the tasks. Measured exposure for computer and information research scientists: 34% (high).

Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.

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Machine learning

About the job

AI/ML Product Manager

About Our Client

Our client is a rapidly growing healthcare analytics company that recently secured Series B funding. They're transforming healthcare through data-driven insights that improve patient outcomes while reducing costs. With their recent funding round, they're scaling their team to meet increasing demand from healthcare systems and insurance providers nationwide.

Role Overview

The AI Machine Learning Product Manager will use data to understand product and business ecosystems, identify opportunities, and shape product development. This role will guide product teams using data-driven insights and lead a team of data scientists.

Key Responsibilities

Lead a team of data scientists developing AI/ML healthcare analytics strategies

Drive analytics projects with cross-functional teams to inform product strategy

Influence product direction through clear presentations to leadership

Work with complex healthcare data sets to solve challenging problems using various analytical approaches

Set goals, forecast, and monitor key metrics to understand product trends

Define and test opportunities to improve healthcare analytics products/services

Advance data science best practices and mentor other data scientists

Requirements

Bachelor's degree in Data Science or related field (Master's preferred)

10+ years of experience in Product Management, AI, ML, or Generative AI

Strong product management and ownership background

Experience architecting AI/ML-based products for healthcare applications

5+ years leadership experience