• Own the business area for Data and Outcomes - accountable for portfolio performance, value realization, and delivery outcomes • Define and drive the multi-year roadmap and enterprise investment strategy including prioritization, sequencing, and tradeoff decisions that maximize data impact and ROI • Define portfolio-level north-star metrics and KPI’s, ensuring investments translate into measurable customer value (outcomes, adoption, time-to-value, reliability, utilization) • Build and maintain a portfolio operating plan: capacity allocation, headcount planning, vendor/tooling investment, and roadmap commitments • Establish and run a product investment governance model (e.g., annual planning, quarterly reforecasting, business area reviews), ensuring transparency and accountability • Develop business cases for new investments including market sizing, customer value, expected benefits, risks, and implementation plan • Partner with Finance and Commercial leadership to own and report business outcomes tied to Data investments (e.g., revenue enablement, margin, retention impact) • Serve as Amwell’s senior product leader for Health Plan data (population health, claims, eligibility, provider, risk, quality, utilization) and related outcomes frameworks • Champion fluency and strategy around Health Plan data including claims, eligibility, provider, risk, quality, and utilization data • Translate customer needs and requests into clear product strategies and holistic requirements that are scalable, repeatable capabilities (vs. one-off solutions) • Consult on internal, cross-functional initiatives across Product, Clinical, Services, Engineering, and Sales leveraging industry acumen and expertise to optimize implementation feasibility and cost-to-serve • Partner with Legal, Privacy & Security to manage data rights, regulatory constraints, and compliance considerations associated with product use • Ensure successful delivery across multiple teams by setting clear priorities, removing blockers, and holding stakeholders accountable to commitments • Evangelize data product strategy, roadmap, and investment priorities in customer meetings, executive briefings, and strategic sales conversations • Serve as a key voice in enterprise customer engagements, building credibility and trust while shaping roadmap direction through disciplined discovery • Ideate within multiple layers of the organization including leadership and working teams; tailor level of detail and message to audience • Engage with customers and customer-facing teams to validate product strategy, direction, and build influential customer relationships • Incorporate direct customer feedback and market insights into ongoing product discovery and roadmap evolution • Build, lead, and develop a high-performing team of Product Managers; set expectations for Product rigor, accountability, and data driven decisions. • Uplevel broader Product team on customer data needs, industry trends, and translating data investments to customer value • Operate as a hands-on product leader while directly managing and developing Product Managers • Provide coaching, mentorship, and clear direction to support individual growth, strategic thinking, customer engagement, storytelling, and execution excellence

• Develop new ideas to improve our machine learning platform and models • Develop experimentation plans via brainstorming, market research, and deep analysis • Work with a world class team of engineers who are strong in both machine learning and software engineering • Continuously adapt the product roadmap to new data and findings that arise frequently when working with a complex machine learning driven system

• Manage initiatives to improve data product offering work with engineering or use AI tools to define problems, shape solutions, and ship • Investigate data quality issues independently and own the full feedback loop, from root cause to resolution to clear communication with Customer Success and customers (joining customer calls, providing written resolution notes, etc) • Design QA procedures to proactively identify and prevent data integrity issues • Build repeatable, automated checks to reduce reliance on manual investigation

• Own product strategy and roadmap for an assigned pillar • Manage the full product lifecycle from define to measure • Coordinate with peer PMs for cross-pillar features • Partner with PMM, sales, and CS for successful launch and adoption • Communicate effectively with executives and customers