Health Care Analytics and AI Senior Product Owner

Join Deloitte's Converge for Health Care, the industry focused asset studio within Deloitte Consulting's Innovation & Delivery Transformation practice. This environment blends healthcare domain expertise with advanced analytics and AI to deliver data driven solutions that impact real world outcomes. The Health Care Analytics and AI Senior Product Owner focuses on healthcare analytics and AI enabled products, translating business priorities into executable product requirements and coordinating with engineering and data teams to bring solutions to life. This onsite role is based in Cleveland, Ohio, with a salary range of USD 116,200 to 229,100 per year.

Benefits

• Discretionary annual incentive program eligibility

The Team

This role sits within Converge for Health Care, Deloitte's industry focused asset studio for healthcare, and is part of Deloitte Consulting's Innovation & Delivery Transformation (I&DT) practice. I&DT applies an engineering- and innovation-led mindset to how Deloitte builds, delivers, and scales technology-enabled solutions. Product Owners in Converge for Health Care work closely with Product Managers, engineering and data teams, Deloitte Consulting practitioners, and client stakeholders. The team operates at the intersection of healthcare domain expertise, analytics platforms, and delivery execution, ensuring products are built with real-world use in mind and continuously refined based on delivery and market feedback.

Responsibilities

• Lead the execution of product roadmaps and delivery plans in partnership with the Product Manager, maintaining alignment and momentum as priorities move from concept to delivery.
• Translate business objectives, practitioner input, and client needs into clear user stories, functional requirements, and acceptance criteria, bridging healthcare domain knowledge with engineering and data perspectives.
• Coordinate development, testing, and release activities with engineering, data, and analytics teams to ensure requirements are well understood and outcomes align with intended use cases.
• Manage day-to-day backlog operations, including prioritization, grooming, and sprint planning, balancing immediate delivery needs with longer-term product direction.
• Participate actively in agile ceremonies and working sessions to keep progress aligned with roadmap priorities and stakeholder expectations.
• Contribute to research, documentation, and design of new features by gathering insights from Deloitte leaders, practitioners, and clients to validate assumptions and inform decisions grounded in real-world use.
• Support pilot deployments of new analytics capabilities, including GenAI-enabled features and emerging agentic workflows, translating early learnings into scalable product improvements.
• Develop product collateral, demonstrations, and enablement materials to drive adoption across Deloitte Consulting teams and client engagements.
• Monitor product usage and performance signals, collecting feedback to identify opportunities for refinement, optimization, or future investment and sharing insights with the Product Manager and broader team.

Requirements

• Ability to translate ambiguous business and domain needs into structured product requirements and executable work items.
• Strong healthcare domain understanding with experience applying analytics- or data-driven solutions in 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.
• Robust problem-solving and analytical skills, with the ability to synthesize inputs, evaluate tradeoffs, and articulate clear implications.
• Clear written and verbal communication skills, capable of engaging Product Managers, engineers, consultants, and senior stakeholders.
• Ability to influence outcomes and drive progress across cross-functional teams in fast-moving, matrixed environments.
• Comfort working in agile delivery setups, including 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.
• Adaptability to evolving product portfolios where priorities and investment focus continue to mature over time.

Technologies

GenAI