Senior Product Manager, Analytics

About the Opportunity
A rapidly growing technology company is helping state and federal health and human services agencies make better use of data to improve program integrity, increase operational visibility, strengthen oversight, and support better healthcare outcomes.
The organization provides configurable software and analytics solutions that enable government agencies to transform large, complex healthcare datasets into actionable insights. Products are used to identify trends, uncover risks, support decision-making, improve efficiency, and help public-sector leaders make informed choices that positively impact the communities they serve.
The environment is highly collaborative, mission-driven, and focused on using technology, analytics, and innovation to solve meaningful healthcare challenges at scale.
Position Overview
The Senior Technical Product Manager, Analytics will lead the strategy, development, and evolution of analytics-focused products and capabilities.
Success in this position requires a combination of product management expertise, healthcare data knowledge, and strong analytical thinking. Ownership spans the full product lifecycle, from discovery and roadmap development through launch, adoption, and continuous improvement.
Close partnership with Engineering, Data, AI/ML, UX, and customer-facing teams will be essential in transforming complex healthcare data into meaningful insights and actionable product experiences.
A successful candidate understands not only how to build products, but also how data is generated, structured, analyzed, interpreted, and ultimately transformed into decisions.
Key Responsibilities
Product Strategy & Ownership
Own analytics-focused products and capabilities from concept through launch and ongoing optimization.
Define product vision, roadmap priorities, requirements, and success metrics.
Translate customer challenges into scalable product solutions.
Drive product decisions using customer feedback, research, and data-driven insights.
Prioritize and manage the analytics product backlog.
Lead discovery efforts that identify opportunities to improve customer outcomes.
Healthcare Data & Analytics
Develop a deep understanding of healthcare datasets, analytical workflows, and customer objectives.
Partner closely with Data and Engineering teams to understand data sources, transformations, business logic, and outputs.
Evaluate the reliability, accuracy, and usefulness of analytical outputs.
Identify data limitations, gaps, and opportunities for additional insight generation.
Translate complex analytical concepts into clear product requirements and user experiences.
Insight Generation & Decision Support
Define how healthcare data should be explored, analyzed, visualized, and transformed into actionable insights.
Design experiences that help users identify trends, anomalies, risks, and opportunities.
Support the development of predictive analytics and AI-enabled product capabilities.
Establish success metrics that measure customer impact and business value.
Define how insights should be surfaced within workflows to drive informed action.
Cross-Functional Collaboration
Work directly with customers to understand workflows, pain points, and analytical needs.
Partner with Product, Engineering, Data, AI/ML, UX, Sales, and Customer Success teams.
Communicate product priorities, trade-offs, and decisions to stakeholders across the organization.
Align teams around a shared understanding of customer problems and product objectives.
Required Qualifications
5-7 years of Product Management or Technical Product Management experience.
Proven experience building and delivering analytics, data, decision-support, or insight-driven products.
Meaningful experience working with healthcare data and healthcare analytics.
Strong understanding of how data moves from raw inputs to analytical outputs and customer-facing insights.
Ability to work comfortably with complex datasets, even without being a hands-on SQL expert.
Experience translating technical and analytical concepts into clear product requirements.
Strong systems-thinking and problem-solving abilities.
Demonstrated success partnering with Engineering, Data, UX, and Product teams.
Excellent written and verbal communication skills.
Ability to operate effectively within ambiguity and evolving priorities.
Strong curiosity, sound judgment, and a data-informed approach to decision-making.
Preferred Qualifications
Experience with healthcare analytics, healthcare technology, health plans, provider organizations, or related environments.
Experience working with claims, clinical, utilization, provider, or other healthcare datasets.
Familiarity with business intelligence, data visualization, or data integration platforms.
Experience building AI/ML-enabled products or predictive analytics solutions.
Experience designing workflow products that help users take action on analytical insights.
Familiarity with UX and interaction design principles.
Exposure to Medicaid programs, public-sector healthcare initiatives, or government agencies.
Compensation & Benefits
Base Salary: $165,000 - $210,000 USD
Compensation will be determined based on experience, qualifications, and overall fit.
Comprehensive benefits include:
Medical, dental, and vision coverage
Company-paid life and disability insurance
401(k) plan with company match
Generous paid time off
Vacation travel stipend
Additional employee wellness and support programs
Work Environment & Location
Full-time, exempt position
100% remote within the United States
Periodic travel required for customer meetings, team collaboration, and company events
Applicants must be legally authorized to work in the United States on a permanent basis. Immigration sponsorship is not available for this position now or in the future.
Why Join
Opportunity to work at the intersection of healthcare, data, analytics, artificial intelligence, and public-sector impact.
A lean and highly collaborative product organization provides significant ownership, visibility, and influence over product strategy and customer outcomes. Work completed in this role directly contributes to helping government agencies make better decisions through data and analytics while improving the effectiveness of programs that serve millions of individuals.
Professionals who enjoy solving complex data problems, building impactful products, and turning information into meaningful action are encouraged to apply.

Work arrangement
Yes