• Define and own the product vision, architecture and implementation strategy, and roadmap for a suite of healthcare data products spanning the U.S. payer and market access landscape. • Drive multi-product roadmap planning, identifying opportunities to extend core data assets into adjacent product lines and new use cases. • Translate complex business needs into actionable product priorities by collaborating with cross-functional stakeholders across engineering, content, delivery, and commercial teams. • Define and track product KPIs — including data completeness, fill rates, classification accuracy, refresh timeliness, and client adoption — to inform roadmap prioritization and demonstrate product value. • Conduct independent market and domain research to stay ahead of evolving payer dynamics, benefit design trends, and regulatory shifts that impact product positioning. • Manage relationships with third-party healthcare data vendors; evaluating data quality, negotiating source activation/deactivation, and ensuring seamless integration of vendor feeds into core product pipelines. • Define and govern the data models and classification frameworks that represent complex payer ecosystems, benefit structures, and access relationships by partnering with engineering to ensure precision, scalability, and clarity. • Establish and enforce data standards, business rules, and classification methodologies that ensure consistency, accuracy, and long-term scalability across products. • Define integration requirements that allow internal data assets to interoperate seamlessly with diverse third-party healthcare datasets (e.g., formulary, claims, reference data) while maintaining vendor-agnostic principles. • Design and maintain product governance processes — including refresh cadences, issue resolution workflows, and continuous improvement mechanisms. • Define quality assurance standards and monitoring protocols and work with engineering and analytics teams to implement automated frameworks using SQL, cloud data platforms, and BI tools to proactively safeguard data integrity. • Lead, mentor, and grow a cross-functional product team — fostering a culture of ownership, curiosity, and continuous improvement. • Own the full talent lifecycle — from defining role requirements and designing assessments to interviewing, onboarding, and retaining high-caliber talent. • Drive performance management with intentionality — delivering structured feedback, managing career development conversations, and recognizing contributions that reinforce a high-performance culture. • Serve as a trusted product authority for internal consulting and commercial teams — translating complex data concepts into clear, actionable guidance for client-facing conversations. • Lead the resolution of complex client-reported data issues — conducting root cause analysis, quantifying business impact, and delivering clear corrective actions. • Manage the design and delivery of client-specific data solutions — balancing customization needs with core product integrity and scalability. • Own external product communications — authoring updates, newsletters, and release notes that keep clients informed on product evolution. • Build internal enablement programs — training consulting and engagement teams on product nuances, interpretation, and effective client storytelling. • Drive operational excellence by standardizing processes, introducing automation, and strengthening governance to reduce risk and improve throughput. • Build structured documentation, onboarding frameworks, and knowledge repositories that ensure product continuity and reduce single-point-of-failure risk.

• Define and own the product strategy for PerfectServe’s AI answering service, including near-term delivery commitments and a longer-horizon vision for how AI evolves across the portfolio. • Translate business objectives and clinical workflows into a prioritized, clearly reasoned product roadmap — and maintain it as a living document that reflects new information, not a static plan. • Partner with the CTO and Director of Software Engineering to align roadmap sequencing with technical capacity, architecture constraints, and infrastructure investments. • Lead ongoing customer discovery efforts: conduct interviews, site visits (virtual or in-person), and workflow observation sessions with clinical and administrative end users. • Use modern AI tools to accelerate product work: generate prototypes and wireframes, run rapid concept tests, and explore technical feasibility before committing engineering resources. • Identify and manage product-level compliance and safety considerations including HIPAA, minimum necessary data principles, and the appropriate use of AI in clinical decision-adjacent contexts. • Own the relationship between product requirements and engineering delivery — writing precise, well-scoped specifications that reduce ambiguity without over-constraining implementation. • Define the measurement framework for AI product performance: establish baselines, set targets, and drive quarterly reviews of key metrics with engineering and executive leadership.

• Own and optimize core purchase workflows, including the sender recommendation experience, exclusive number provisioning, and essential workflows like porting and hosting to ensure a seamless acquisition process • Drive platform orchestration to ensure a unified experience by overseeing cross-console ingress and egress, managing complex checklist state management, and utilizing proactive nudges and intent-based routing to abstract away disjointed configuration steps and seamlessly guide customers to their desired outcomes • Lead cross-functional execution by partnering deeply with Engineering, Design, and KYC Product Managers to embed compliance initiatives, integrated intake forms, and autoregistration processes directly into the customer journey • Drive data-driven decision making by utilizing product analytics and building dashboards to monitor funnel health, track rigorous metrics and identify points of friction • Manage core product management duties, including end-to-end roadmap planning, ruthlessly prioritizing competing features, resolving cross-team dependencies, and aligning internal stakeholders on your product vision and strategy

• Own and drive the roadmap for a new set of software experiences and related platform capabilities • Define user experiences that span connected devices, mobile apps, and supporting platform services • Partner closely with design and engineering to concept, prototype, ship, measure, and improve features across iOS and Android • Translate product strategy into clear product requirements, user flows, and decision frameworks • Work closely with privacy and platform teams to ensure experiences meet high standards for trust, safety, and reliability • Navigate technical constraints across hardware, embedded software, mobile clients, and backend systems to create simple member experiences • Develop a strong point of view on where Oura can expand into new technology-enabled experiences over time • Collaborate with analysts and cross-functional partners to define success metrics and use data to improve outcomes