• 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.

• Coach and mentor a team of Account Executives to achieve and excel revenue goals • Recruit and retain Account Executives by hiring for required skills and competencies, while coaching sales and implementation processes • Manage the end-to-end sales process and forecast sales • Drive a culture of accountability while having fun in the process • Travel within your region and nationally to participate in field rides with individual team members, and attend meetings that include sales conferences, trade shows, and partnership huddles.

• Own end-to-end integration strategy and execution for multiple acquisitions annually • Stand up and run the Integration Management Office for each deal • Partner cross-functionally with various teams to deliver Day 1 readiness • Build and maintain integration playbooks, KPI frameworks, and dashboards • Lead TSA scoping and management; coordinate systems and data integration priorities • Serve as the primary executive liaison for integration • Conduct integration diligence and provide input to deal models

• Lead and coordinate statistical related activities to support clinical studies including but not limited to supporting the design, execution, analysis, interpretation, and reporting of clinical trials as well as communication of data evidence. • Support is the statistical aspects of business-critical and/or regulatory commitments, provides input to program plans, and represent the Biostatistics function for cross-functional and intra-departmental teams or working groups. • Functions as the lead statistician for assigned clinical projects. • Performs management of in-house and/or outsourced biostatistical activities. • May engage with regulatory authorities on compound/indication level discussions. • Prepare or review the clinical study protocols, case report forms, statistical analysis plans, and table shells as needed. • Create programs for data management activities, compliant analysis datasets, and statistical analysis of the clinical trial data. • Prepare the statistical section of clinical trial reports and presentations of the results to the team. • Demonstrate solid understanding of regulatory guidance and statistical methodology as applied to clinical studies in pharmaceutical development. • Presenting interim trial data to Data Monitoring Committees (DMCs). • Writing statistical reports and memos with minimal guidance. • Programming complex datasets. • Leading or supporting complex analyses, including efficacy and futility interim analyses for DMCs. • Supports the preparation and documentation of statistical analyses to enable management to write and support trial reports and publications. • Helps ensure that new and revised statistical standards, tests, and processes are implemented for increased accuracy and efficiency. • Reviewing statements of work, proposals, and budgets. • Managing multiple projects and a majority of own workload. • Perform such other duties as may be assigned from time to time.