Technical Product Manager – Healthcare Market Insights

This is a fully remote position, open to applicants in Illinois.

📋 Description

• Define and articulate the product vision, strategy, positioning, and evidence-based roadmap for Healthcare Market Insights along with associated data and analytics capabilities.

• Prioritize investments based on customer value, business impact, competitive differentiation, technical feasibility, scalability, platform coherence, and sustainability.

• Make lifecycle decisions regarding investments, maintenance, partnerships, acquisitions, or retirements of products; contribute to decisions on pricing, packaging, and business models.

• Monitor healthcare trends, regulations, competitors, data sources, and emerging technologies to translate insights into product decisions.

• Lead ongoing discovery efforts with clients, users, consultants, Sales, and Customer Success.

• Collaborate with Product Design on interviews, advisory groups, usability studies, beta cohorts, workflow observations, and quantitative product evidence.

• Develop functional prototypes, AI-assisted demos, technical spikes, and proofs of concept utilizing AI tools, low-code environments, data exploration, or direct API integration.

• Synthesize customer, market, usage, and performance signals into product specifications and roadmap adjustments.

• Lead the strategy for healthcare data, analytics, and market intelligence domains.

• Shape solutions targeting provider performance, referral patterns, network integrity, market share, care migration, service-line growth, demand forecasting, and market strategy.

• Define requirements for healthcare data acquisition, licensing, integration, enrichment, attribution, governance, quality, lineage, transparency, and methodology.

• Ensure that analytics and outputs are accurate, traceable, explainable, privacy-conscious, and compliant with industry standards and regulatory expectations.

• Collaborate with Engineering, Data Science, and Architecture on cloud platforms, data pipelines and models, APIs, integrations, interoperability, security, performance, observability, governance, and AI-enabled experiences.

• Write product specifications ready for build that cover workflows, data requirements, technical constraints, API contracts, edge cases, system behavior, and acceptance criteria.

• Drive advanced analytics, predictive models, natural-language experiences, intelligent automation, and responsible AI capabilities.

• Own the product lifecycle from discovery through adoption and continuous improvement.

• Provide priorities, decision context, epics, features, acceptance measures, release plans, and delivery dependencies.

• Engage in refinement, architecture discussions, planning, demos, acceptance, incident reviews, and tradeoff decisions.

• Define release-readiness criteria and manage product acceptance, release communication, and post-launch outcome reviews.

• Remove or escalate barriers to product decisions and track adoption, reliability, feedback, and business outcomes.

• Act as the primary product partner across clients, executives, Consulting, Professional Services, Product Design, Engineering, Data Science, Architecture, Sales, Marketing, Customer Success, and Finance.

• Communicate strategy, priorities, tradeoffs, roadmap progress, technical implications, and release outcomes to both technical and non-technical audiences.

• Foster trusted partnerships across globally distributed teams, including colleagues based in the U.S. and India.

⛳️ Requirements

• Bachelor's degree in Computer Science, Product Management, Engineering, Data Science, Business, Healthcare Informatics, or a relevant field.

• 7+ years of experience in product management, technical product management, product engineering, healthcare analytics, or related technical leadership, focusing on delivering enterprise software, data, analytics, or platform products.

• Proven expertise in the healthcare domain across provider or payer environments, healthcare operations, clinical and financial workflows, healthcare data, privacy, and regulatory considerations.

• Technical fluency to interpret system diagrams, data flows, APIs, and code-level tradeoffs, and to engage in architecture and engineering discussions.

• Experience in crafting technical product specifications, data requirements, edge cases, API or integration requirements, and measurable acceptance criteria.

• Hands-on experience utilizing AI tools, LLM APIs, agent frameworks, low-code tools, and analytics environments, or equivalent methods to prototype and validate product concepts.

• Ability to lead ongoing customer discovery, manage roadmaps and backlogs, influence within a matrixed organization, and take ownership of outcomes from concept through post-launch performance.

• Familiarity with healthcare market intelligence, claims analytics, population health, provider performance, network strategies, or growth strategy solutions.

• Knowledge of deidentified healthcare claims, CMS data, X12 transactions, HL7/FHIR, interoperability, healthcare data platforms, and data licensing or governance.

• Working knowledge of SQL, analytics and visualization platforms, cloud-native and modern data architectures, multi-tenant SaaS, event-driven systems, API design, and observability tools.

• Experience in delivering AI-enabled products, predictive analytics, natural-language queries, intelligent automation, or responsible AI capabilities.

• Experience working with globally distributed engineering teams and asynchronous delivery practices.

• A background in software engineering or data engineering is advantageous.

• Experience contributing to pricing, packaging, and commercial strategy.

• Product or Agile certifications, such as CSPO, A-CSPO, SAFe POPM, or PMI-ACP, are a plus.

🏝️ Benefits

• Annual incentive compensation program.

• Medical coverage.

• Dental coverage.

• Vision coverage.

• Other wellness programs.

• Collaborative culture that values impact, curiosity, integrity, inclusion, excellence, and humility.