• Develop and maintain a strategic roadmap for data, analytics, and reporting capabilities across the 1upHealth platform. • Translate company and customer priorities into actionable product requirements and delivery plans. • Manage the product lifecycle from planning and design through development, launch, and ongoing optimization. • Define and track KPIs to measure product success and impact, using results to inform ongoing prioritization and improvements. • Conduct competitive and market analysis to identify opportunities for differentiation and value creation. • Partner closely with engineering to deliver scalable and high-performing data pipelines, APIs, and analytics features. • Foster collaboration between platform and product teams to build platform components that will serve the product teams’ needs and allow for efficient and speedy development of new products. • Collaborate with design teams to ensure data visualization and reporting experiences are intuitive and impactful. • Work with commercial, customer success, and implementation teams to gather input, validate solutions, and support adoption. • Engage directly with customers to understand analytics needs, integration requirements, and data challenges. • Lead initiatives to transform raw healthcare data (FHIR, claims, clinical, etc.) into actionable insights. • Ensure all solutions meet the highest standards for compliance, security, and interoperability (FHIR, HIPAA, SOC 2, HITRUST). • Partner with internal stakeholders to embed analytics into both customer-facing products and internal performance tracking. • Evaluate emerging technologies, including AI and ML, for practical and impactful integration into analytics capabilities.

• Own product vision and roadmap for Compliance Automation platform • Lead team of PMs to define and deliver AI/ML capabilities • Drive cost optimization by identifying automation opportunities • Partner with various departments to ensure regulatory compliance • Shape integration of AI/ML technologies in compliance • Build relationships with regulatory stakeholders

• Own and improve core agreement execution flows, ensuring they are intuitive, fast, and reliable. • Deeply understand user pain points through research, support insights, and behavioral data, then translate them into clear problem statements and priorities. • Turn complicated tasks into simple, guided experiences through UX, product design patterns, and smart defaults. • Identify opportunities to use AI to reduce friction and improve user confidence, especially in moments where users are unsure what is required. Define guardrails and fallback behavior to maintain trust. • Build product guidance that helps users make correct decisions in compliance-sensitive contexts, even when users are uncertain about what “right” looks like. • Drive measurable business outcomes through A/B testing and iterative improvements. Define hypotheses, success metrics, and clear decisions based on results. • Partner closely with engineering and design to deliver high-quality features, and collaborate with support, sales, and marketing to ensure strong adoption and customer outcomes. • Define and track KPIs, monitor funnel performance, and build learning loops that continuously improve the product.

• Define, maintain, and communicate the RangeOS product vision, roadmap, and release strategy. • Translate operational, customer, and stakeholder needs into clear, actionable requirements and user stories. • Prioritize the product backlog to maximize mission impact, technical feasibility, and delivery velocity. • Work closely with engineering teams to ensure alignment between requirements, design, and implementation. • Coordinate with cyber range operators, exercise planners, and multi‑vendor partners to validate capabilities and workflows. • Support deployment planning, release readiness, and integration across RCS, ECS, and cloud environments. • Develop and maintain product documentation, feature briefs, and customer‑facing materials. • Serve as the primary voice of the customer, ensuring RangeOS capabilities meet operational training objectives. • Collaborate with engineering to shape solution designs that meet functional and non‑functional requirements. • Validate completed features against requirements and mission needs.