Technical Product Owner
| TPM: Required Experience (Healthcare Emphasis) 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 (HIPAA, PHI, 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, and care management contexts Familiarity with healthcare domains such as: Utilization Management Care Management / Case Management Prior Authorization Ability to translate clinical and operational workflows into scalable technology solutions Deep appreciation for 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 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, and risk Strong problem framing focused on insight generation, automation, and scale Data, Analytics & AI Enablement. Working understanding of: Healthcare data domains (member, provider, clinical, authorization, outcomes) 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 (summarization, prioritization, 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 (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 ? production ? scaled adoption in healthcare settings. Technology & Architecture Knowledge of modern architectures supporting healthcare data and AI: APIs, microservices, cloud platforms Data platforms, interoperability layers, and 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, AI platforms Release planning that includes: Data readiness and validation Analytics accuracy. AI model monitoring and compliance check. Clear articulation of tradeoffs, risks, and value realization |
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Do
- Is accountable for meeting Sprint objectives along with scrum team
- Ensure meeting of sprint commitment
- Own and help resolve impediments of the team
- Help PO adopt Scrum Process properly and ensure PO availability
- Support the PO in maintaining the Product Backlog, defining User Stories and Acceptance Criteria
- Facilitate estimation, backlog refinement and all planning ceremonies
- Ensure that DOR, DOD, Acceptance criteria is available and adhered to
- Ensure MoSCoW adherence of Sprint Backlog at the Sprint level
- Accountable for the correct implementation of the Agile Process
- Protect the team from external interference.
- Facilitate technical assistance to the team and enables clear communication amongst the team members
- Participate in Scrum of Scrum across teams and highlights impediments
- Provide feedback on the team members performance to the Agile Line manager and Agile Program Leader
- Facilitate all the Scrum Ceremonies (Planning, Daily Standup, Grooming, Demo, restrospection) and ensure correct adoption
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- Ensure updating of all Scrum artifacts
- Ensure ALM tool (either client or Wipro) is updated on a daily basis
- Update key Scrum metrics into Wipro internal tool on a Sprint-by-Sprint basis
- Analyse key Scrum metrics and take corrective actions
- Create competency improvement and cross-skilling plan for the team (by the start of the project). Review monthly and ensure improvement in competency score. Ensure multiskilling for at least 50% of the team.
- Help team attain stable velocity within 6-8 sprints (allowing for 10% variation either way)
- Train team on the proper adoption of Agile processes (Scrum / XP / Kanban)
- Help in adoption of engineering practices like ATDD, TDD, CI, CD, Refactoring
- Record and own the restrospection actions
- Participate in community of practice initiatives
- Provide inputs to the Line manager for internal quality forums (QIC / APR / QBR / MBR etc.)
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Experience: 5-8 Years .
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