• Own healthcare-grounded product strategy. Develop multi-year roadmaps built around healthcare data flow opportunities — FHIR-based interoperability, clinical and administrative data exchange, informatics and data products, population health, and quality measurement. Understand the competitive landscape and emerging standards well enough to position Interra’s data capabilities ahead of the market.
• Own the hard decisions. Act as the final decision-maker when stakeholder opinions conflict — balancing customer requests, business objectives, regulatory requirements, and technical constraints. Demonstrate a history of making difficult tradeoffs and standing behind outcomes, including decisions affecting providers, payers, health systems, or public health organizations.
• Build systematic customer and market intelligence. Push teams to validate assumptions with real users rather than internal consensus. Create and maintain feedback loops with customers, clinical stakeholders, and industry partners that systematically inform roadmap and prioritization decisions.
• Set and communicate a unified product vision. Translate company-level strategy into actionable product plans and clear prioritization frameworks across all owned domains. Represent the PM function at the executive level and in major customer forums.
• Build and develop the PM team. Hire, mentor, and develop Product Managers and team leads. Establish a high bar for product rigor, discovery practices, and delivery quality. Create career development pathways and hold high expectations for talent across the function.
• Drive cross-functional execution. Partner closely with Engineering, Design, Sales, Customer Success, Product Ownership, and Core Services to drive aligned execution. Facilitate resolution of cross-domain dependencies and tradeoffs.
• Enable go-to-market success. Partner with Marketing, Sales, and Revenue Operations to drive successful product launches with clear positioning inputs, enablement materials, and measurable success criteria.
• Apply AI to product work. Model and encourage effective use of AI tools across the PM function — for research synthesis, discovery acceleration, and roadmap analysis — while maintaining standards for rigor and sound judgment.