Senior Technical Product Manager, AI, Analytics and Healthcare Solutions

Job Description

A leading organization is seeking a Senior Technical Product Manager to lead the strategy, planning, and delivery of AI and analytics-focused products within a healthcare environment. This position will work closely with business stakeholders, data science teams, data engineering teams, and technology partners to identify opportunities for automation, operational improvements, and data-driven innovation. The ideal candidate brings a strong combination of product management expertise, healthcare domain knowledge, technical understanding, and stakeholder engagement skills. Experience supporting healthcare payer or provider organizations is highly valued, along with the ability to communicate complex concepts clearly across technical and business audiences.

Responsibilities

• Define and manage product strategy, roadmap development, release planning, and feature prioritization for AI and analytics initiatives.
• Lead product discovery efforts to identify opportunities for business process improvement, automation, and operational efficiency.
• Gather, document, and prioritize business requirements, user stories, acceptance criteria, and product specifications.
• Partner with data scientists, data engineers, and technology teams to deliver AI, machine learning, analytics, and GenAI-enabled solutions.
• Facilitate collaboration between business stakeholders and technical teams to ensure alignment on objectives, priorities, and delivery timelines.
• Lead planning activities, roadmap reviews, status reporting, and recurring delivery meetings, including standups and stakeholder updates.
• Translate complex analytical and technical concepts into clear business value propositions and actionable recommendations.
• Track product progress, manage dependencies, and support successful execution of roadmap commitments.
• Evaluate opportunities to leverage AI, machine learning, large language models, and analytics to improve business outcomes.
• Support executive communications through clear reporting, presentations, and strategic updates.
• Collaborate with stakeholders to identify, assess, and prioritize high-value product enhancements and capabilities.

Required Experience and Skills

• 10+ years of product management experience with ownership of product strategy, roadmap development, and execution.
• Experience delivering AI, machine learning, GenAI, LLM-enabled, analytics, or data-driven products.
• Strong experience working directly with business stakeholders, data science teams, data engineering teams, and technology organizations.
• Demonstrated ability to translate complex technical concepts into business-focused recommendations and requirements.
• Experience creating product requirements, user stories, release plans, and acceptance criteria.
• Strong communication, facilitation, and stakeholder management skills.
• Experience leading planning sessions, roadmap reviews, standups, status reporting, and cross-functional delivery activities.
• Strong analytical, strategic thinking, and problem-solving capabilities.
• Ability to influence and communicate effectively with both technical and non-technical audiences.
• Experience driving products from concept through implementation and adoption.

Preferred Experience and Skills

• Healthcare industry experience, including payer or provider environments.
• Experience working within health insurance, managed care, healthcare operations, or related healthcare domains.
• PBM (Pharmacy Benefit Management) experience.
• Experience partnering with data science and data engineering organizations.
• Familiarity with AI and machine learning product development lifecycles and production deployment considerations.
• Background identifying automation opportunities and operational efficiency improvements.
• Consulting experience with strategy or management consulting organizations.
• Experience operating within complex, cross-functional enterprise environments.
• Ability to work effectively within Eastern Time business hours.

FAQ

1. What does a Senior Technical Product Manager specializing in AI, analytics, and healthcare solutions do?

A Senior Technical Product Manager defines product strategy and priorities for technology solutions that combine artificial intelligence, analytics, and healthcare capabilities. The role connects clinical or business needs with data, AI, and engineering teams to deliver products that address measurable healthcare and operational outcomes.

2. What types of healthcare products might this role manage?

The role may support predictive analytics platforms, clinical decision-support tools, population health solutions, patient engagement products, healthcare workflow automation, data products, and AI-enabled applications. Product scope depends on the organization's healthcare priorities, users, and technology environment.

3. How does this role translate healthcare needs into technical requirements?

The Product Manager works with clinical, operational, and business stakeholders to understand workflows, pain points, and desired outcomes. These requirements are translated into product use cases, user stories, acceptance criteria, roadmap priorities, and measurable success metrics for technical teams.

4. How are AI and analytics initiatives prioritized in healthcare?

Prioritization considers clinical or operational value, data availability, technical feasibility, implementation effort, patient or provider impact, regulatory considerations, and expected business outcomes. The Product Manager balances near-term product improvements with longer-term AI, analytics, and platform investments.

5. What role does healthcare data play in these products?

Healthcare products may rely on clinical, claims, operational, patient, provider, or other healthcare datasets to generate insights and support workflows. The Product Manager works with data teams to define data requirements, quality expectations, integration dependencies, and appropriate use of sensitive information.

6. How does a Technical Product Manager collaborate with AI and engineering teams?

The role works closely with data scientists, machine learning engineers, data engineers, software developers, architects, UX teams, and analytics specialists. The Product Manager provides business context and priorities while helping teams resolve scope, feasibility, dependency, and delivery trade-offs.