Health Care Analytics and AI Senior Product Owner

Deloitte seeks a Health Care Analytics and AI Senior Product Owner to lead analytics and AI initiatives within Converge for Health Care in Stamford, CT, onsite, with a salary range of USD 116,200 - 229,100 per year.

Responsibilities

• Drive the execution of product roadmaps and delivery plans in collaboration with the Product Manager, preserving alignment, momentum, and clarity as priorities transition from concept to delivery.
• Translate business objectives, practitioner input, and client needs into well-formed user stories, functional requirements, and acceptance criteria, leveraging healthcare domain knowledge and technical fluency to connect business context with engineering and data teams.
• Collaborate with engineering, data science, and analytics teams to synchronize development, testing, and releases, ensuring requirements are understood and solutions meet intended use cases and outcomes.
• Oversee daily backlog activities, including prioritization, backlog grooming, and sprint planning, balancing near-term delivery with longer-term product strategy.
• Participate in agile ceremonies and working sessions to ensure progress aligns with roadmap priorities, milestones, and stakeholder expectations.
• Contribute to research, documentation, and design of new features by engaging with Deloitte leaders, practitioners, and clients to gather insights, validate assumptions, and ground decisions in real-world use.
• Support pilots and early deployments of analytics capabilities, including GenAI enabled features and emerging agentic workflows, translating early learnings into scalable product improvements.
• Create product collateral, demonstrations, and internal enablement materials to promote adoption across Deloitte Consulting teams and client-facing engagements.
• Monitor product usage, performance signals, and feedback to identify opportunities for refinement, optimization, or future investment, and communicate these insights to the Product Manager and broader product team.

Requirements

• Ability to translate ambiguous business and domain needs into structured product requirements and actionable work items.
• Strong healthcare domain understanding with experience applying analytics or data-enabled solutions across healthcare operations and performance improvement contexts.
• Technical fluency with analytics platforms and data-driven products, enabling effective collaboration with engineering, data, and analytics teams without requiring hands-on coding.
• Strong problem-solving and analytical skills, including the ability to synthesize inputs, evaluate tradeoffs, and articulate clear implications.
• Clear written and verbal communication skills, with the ability to engage Product Managers, engineers, consultants, and senior stakeholders.
• Ability to influence outcomes and drive progress across cross-functional teams in fast-moving, matrixed environments.
• Comfort operating within agile delivery environments, including practical use of backlog tracking, sprint planning, documentation, and collaboration tools to organize work and communicate progress.
• Curiosity about emerging technologies such as advanced analytics, automation, GenAI, and agentic systems, and interest in applying these capabilities responsibly within healthcare products.
• Comfort operating in evolving product portfolios where priorities, capabilities, and investment focus continue to mature over time.

Technologies

• GenAI

Benefits

• Discretionary annual incentive program eligibility

Qualifications

• Bachelor's degree in business, healthcare administration, information systems, computer science, or a related field
• 4+ years of experience in healthcare consulting, product management, or technology delivery roles within the healthcare domain
• Ability to travel up to 20%, on average, based on client and project needs
• Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
• Master's degree in business administration, healthcare administration, health informatics, or a related field