Data Science and Machine Learning Product Manager

Senior Product Manager,

Data Science & Machine Learning (Healthcare Analytics)

Salary: up to $200,000 annually

Our client is an innovative force in the healthcare technology space, focused on transforming how high-cost medications are delivered, managed, and experienced. By combining advanced analytics, modern digital platforms, and strategic partnerships across the healthcare ecosystem, they are working to improve affordability, access, and outcomes for millions of patients.

They are seeking a highly motivated Senior Product Manager, Data Science & Machine Learning to lead the evolution and success of a cutting-edge healthcare analytics platform that helps identify and prioritize patient populations requiring timely clinical or financial intervention. This highly visible role sits at the intersection of product management, data science, machine learning, artificial intelligence, and customer strategy. The ideal candidate will help shape product vision, guide algorithm development, drive successful client implementations, and influence long-term AI and analytics strategy while partnering closely with healthcare organizations to deliver measurable outcomes.

Here's What You'll Be Doing

• Lead the strategy, roadmap, and ongoing enhancement of advanced analytics, machine learning, and AI-driven healthcare products that identify patient risk and improve intervention outcomes.
• Collaborate with data scientists, engineers, clinicians, and product stakeholders to design, develop, validate, deploy, and optimize predictive models and analytical solutions.
• Serve as the voice of the customer by building strong relationships with healthcare organizations, understanding their business priorities, and translating needs into impactful product capabilities.
• Drive successful product implementations and adoption initiatives, ensuring customers achieve measurable clinical, operational, and financial results.
• Establish performance frameworks, success metrics, and continuous improvement processes to evaluate product effectiveness and maximize customer value.
  
  

Here's what our ideal candidate has:

• 5 years of experience working with data science, machine learning, AI, or advanced analytics products in a healthcare-related environment.
• 3 years of experience leading product management, analytics implementation, client transformation, or customer success initiatives.
• Experience partnering with health plans, healthcare systems, pharmacy organizations, population health programs, or related healthcare stakeholders.
• Strong understanding of healthcare economics, patient risk identification, predictive analytics, and data-driven decision-making.
• Exceptional communication and relationship-building skills with the ability to translate complex technical concepts into actionable business insights.
• Proven ability to work effectively in fast-paced, evolving environments with a high degree of ownership and accountability.
• Experience collaborating across cross-functional teams including engineering, clinical, analytics, operations, and executive leadership.
• Familiarity with digital health, healthcare technology, pharmacy benefit management, specialty pharmacy, or related healthcare innovation sectors.
• Startup, high-growth, or entrepreneurial experience is a plus.
  
  

What Makes You Successful

• You thrive in ambiguous environments and are energized by solving complex business and healthcare challenges.
• You balance strategic thinking with hands-on execution and maintain momentum across multiple priorities.
• You possess strong emotional intelligence and build trust with customers, partners, and internal stakeholders.
• You approach challenges with creativity, curiosity, and a continuous improvement mindset.
• You are outcome-driven and passionate about delivering meaningful value to customers and patients.
• You demonstrate sound judgment, knowing when to dive deep into analysis and when to move quickly to execution.
  
  

About Us This job posting is from a family of recruiting agencies: Access Data, Agile Resources, Paladin Consulting, and SNI Technology. These are sister companies under the GEE Group brand. We are dedicated to expediting the interview process for qualified candidates. Our goal is to connect top talent with leading organizations quickly and efficiently. Submit your resume to fast-track your application for this exciting opportunity.

Key Words Data Science Product Manager, Machine Learning Product Manager, AI Product Manager, Healthcare Analytics, Digital Health, Predictive Analytics, Healthcare Technology, Product Management, Machine Learning, Artificial Intelligence, Population Health, Health Plan Analytics, Pharmacy Analytics, Specialty Pharmacy, Risk Stratification, Patient Outcomes, Healthcare Data, Clinical Analytics, Customer Success, Product Strategy, Healthcare Innovation, Data-Driven Products, Health Economics, Healthcare Operations, Analytics Platform, Cross-Functional Leadership

U.S. Citizens, Green Card Holders, and those authorized to work in the U.S. for any employer will be considered.

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