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Technical Product Manager
Wissen Technology · India
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Technical Product Manager – Healthcare Required Experience
- 5+ years in technology product or platform product roles.
- Demonstrated experience delivering healthcare technology products.
- Direct exposure to healthcare data, analytics, or AI-enabled solutions.
- Experience operating in regulated environments, including HIPAA, PHI, and healthcare compliance.
- Proven ability to lead complex healthcare initiatives through ambiguity and change. Healthcare Domain Expertise
- Strong understanding of healthcare operations and workflows, including:
- Payer
- Provider
- Care Management
- Familiarity with healthcare domains such as:
- Utilization Management (UM)
- Care Management / Case Management
- Prior Authorization
- Ability to translate clinical and operational workflows into scalable technology solutions.
- Strong understanding of regulatory, compliance, and patient safety considerations in product decisions. Product & Strategy
- Outcome-driven product mindset grounded in healthcare realities and AI/data-first thinking.
- Ability to identify where data, analytics, and AI can improve healthcare outcomes or reduce administrative burden.
- Roadmap ownership integrating:
- Core healthcare capabilities
- Data and interoperability foundations
- Analytics and AI enablement
- Prioritization informed by:
- Clinical impact
- Operational value
- Feasibility
- Risk
- Strong problem framing focused on insight generation, automation, and scale. Data, Analytics & AI Enablement
- Working understanding of:
- Healthcare data domains, including member, provider, clinical, authorization, and outcomes data.
- Data flows across payer, provider, and partner systems.
- Ability to partner with Data Engineering, Analytics, and AI teams to:
- Enable reliable healthcare analytics and reporting.
- Support decision-making through insights and AI-assisted summarization.
- Experience defining requirements for:
- Operational and clinical dashboards.
- KPIs tied to quality, efficiency, cost, and experience.
- AI-enabled analytics, including summarization, prioritization, and decision support.
- Awareness of data quality, lineage, interoperability, and adoption challenges in healthcare. AI & Automation in Healthcare
- Understanding of AI use cases relevant to healthcare:
- Clinical and operational summarization.
- Decision support with human-in-the-loop.
- Workflow automation and prioritization.
- Ability to balance innovation with:
- Responsible AI practices.
- Explainability and auditability.
- Regulatory and ethical considerations.
- Experience guiding AI from pilot to production to scaled adoption in healthcare settings. Technology & Architecture Knowledge
- Understanding of modern architectures supporting healthcare data and AI:
- APIs
- Microservices
- Cloud platforms
- Data platforms
- Interoperability layers
- Integration patterns
- Ability to evaluate build vs. buy vs. reuse with healthcare constraints in mind.
- Comfort navigating legacy systems, technical debt, and complex integrations common in healthcare ecosystems. Delivery & Execution
- Agile / SAFe execution with emphasis on progress, readiness, and adoption.
- Strong dependency and risk management across:
- Product teams
- Data pipelines
- Analytics platforms
- AI platforms
- Release planning that includes:
- Data readiness and validation.
- Analytics accuracy.
- AI model monitoring.
- Compliance checks. Stakeholder & Communication
- Trusted partner to business, clinical, and operations leaders.
- Clear articulation of trade-offs, risks, and value realization. Skills:- Product Management, Healthcare, Payer, Provider, Care Management, Utilization management, Healthcare Data, Analytics, Healthcare Compliance, HIPAA, PHI, Data-flow analysis, interoperability, Product Strategy, Product Delivery, Technical Product Manager, Platform Product Manager and Healthtech Product Manager