• Creates and implements Network Transformation initiatives across a market • Develops Provider Relations Management team to effectively achieve market targets • Conducts field rides with Provider Relations Representatives to gauge their performance • Monitors Provider Performance action plans and tracks provider performance improvement • Establishes and leads collaborative effort with internal cross-functional market departments

• Ensure that the Market Access Early Pipeline team forecasting model assumptions are kept current by developing a deep understanding of and updating the data assumptions that underpin many of the calculations on a regular basis • Catalogue market trends that we track to ensure that the list is complete, assumptions are current, and trends are effectively communicated across the US Market Access organization and relevant cross-functional stakeholders • Work with Directors, Market Portfolio Strategy to support ongoing market analyses by gathering data and insights and using these findings to inform methodologies and story development • Draft and communicate updates to the US Market Access Outlook and ensure content from the US Market Access Outlook gets repurposed and used across the organization • Gather and maintain a meaningful catalogue of above-brand initiatives being performed across the US Market Access organization so that the Market Access Leadership Team can ensure appropriate visibility and participation across the organization • Present findings from analyses at various levels across the organization • Participate in development of relevant market research, including learning and following all internal processes, analyzing secondary data, and incorporating internal Novartis experience to inform insights • Organize the annual business planning process for the team

• Establish, nurture, and grow relationships with senior executives and stakeholders (CMO, CNO, CNIO, CNE, CPSE, COO, etc.) • Serve as Baxter’s primary strategic clinical liaison to health system leadership, securing trust and credibility at the clinical stakeholder enterprise level • Identify and prioritize system‑level opportunities (cross-portfolio, transformation initiatives) and align Baxter solutions to those opportunities • Co‑develop multi‑year, cross‑divisional account plans in concert with HSEs and Baxter internal teams • Lead executive dialogues focused on portfolio positioning, long-term partnership, and sophisticated solution alignment (beyond product selling) • Collaborate with internal functional teams (sales, marketing, medical affairs, service, contracting) to design and execute cohesive commercial plans • Support enterprise-level agreements, governance processes, business reviews, and executive briefings • Act as internal voice of the customer—escalating key insights, influencing prioritization of internal resources, shaping product or service enhancements • Stay abreast of trends in healthcare delivery, hospital operations, workforce pressures, digital integration, and system-level strategies • Mentor and promote exemplary enterprise selling behaviors, consultative engagement, and relational growth mindset

• Define and drive the long-term data engineering vision and roadmap, enabling a scalable, compliant, cloud-native data platform that supports Modern Health’s operational and analytical needs. • Lead the design and evolution of Modern Health’s data pipelines for high-quality, secure, and timely data sharing across internal and external stakeholders. • Advance the company’s data democratization efforts by enabling self-service analytics and building a strong foundation of data governance and literacy. • Oversee analytics initiatives that drive impact across business, product, and clinical areas - from operational reporting and performance dashboards to predictive and prescriptive analytics. • Partner closely with Product teams to surface insights that inform care model design, provider performance, member engagement, and program effectiveness. • Establish best practices for experiment design, cohort analysis, and measurement of interventions and feature impact. • Champion AI/ML initiatives that enhance personalization, care coordination, and automation - always with a focus on safety, transparency, and regulatory compliance. • Build scalable pipelines and frameworks for model development, validation, and monitoring. • Partner with Engineering and Product to translate models into production-ready solutions that directly improve member and provider experiences. • Lead a multidisciplinary team of data engineers, analysts, and data scientists, fostering a culture of curiosity, excellence, and accountability. • Partner with functional leaders across Tech, Product, Clinical, Business and Operations to embed data-driven thinking in decision-making. • Mentor team members, developing both technical expertise and leadership capacity. • Champion a high-performance environment and contribute to an inclusive work environment.