VP/Director of Data & Analytics

Daymark Health is a value-based oncology company redefining the cancer care experience for patients, providers, and health plans. Daymark’s comprehensive, personalized cancer care platform empowers patients with dedicated care navigation, symptom-focused support, behavioral health care, and social resources. Combined with evidence-based health interventions and a hybrid in-person + virtual care model, Daymark is improving the overall cancer experience for patients, providers, and health plans – and setting a new standard in cancer care. 

Daymark’s groundbreaking approach is led by CEO Dr. Justin Bekelman, a pioneer in transforming cancer care, alongside some of the nation’s foremost leaders in oncology and value-based care. Daymark emerged from Healthcare Foundry, a platform dedicated to creating purpose-built, technology-enabled healthcare organizations. Daymark Health is backed by Maverick Ventures.

ABOUT THE ROLE 

At Daymark Health, we are transforming how data drives decision-making in healthcare. We are seeking a VP of Data and Analytics to be the first in this role and play a critical part in shaping the foundation of our data operations. You will stand up our Minimum Viable Product (MVP) for all data practices, setting up infrastructure, processes, and analytics capabilities that will enable us to collaborate effectively with providers and partners, unlock insights from diverse data sources, and make informed, impactful decisions.

As the first Data and Analytics Lead at Daymark Health, you will:

• Build and operationalize foundational data workflows, including ingestion, transformation, and sharing of data with partners and providers.
• Design and implement the infrastructure required to support Daymark’s data practices, selecting and deploying tools and platforms such as Snowflake and AWS.
• Analyze claims data, real-time activity data, and provider EMR (Electronic Medical Records) data to generate actionable insights for our partners and stakeholders.
• Establish scalable and reliable data pipelines, ensuring data accuracy and integrity across systems.
• Collaborate across teams to identify and address immediate and long-term data needs while contributing to Daymark's mission of improving healthcare outcomes.
  
  

WHAT YOU’LL DO

After Three Months, You Will:

• Define and lead Daymark’s data strategy, laying the foundation for how data is ingested, transformed, governed, and used to drive clinical and operational outcomes.
• Architect and oversee the deployment of scalable infrastructure and tooling (e.g. Snowflake, dbt, AWS) to support analytics, reporting, and real-time data exchange with providers and partners.
• Drive high-impact analyses across claims, EHR, and real-time patient activity data, translating complex data into clear insights that inform care delivery and payer collaboration.
• Build and scale robust data pipelines and governance practices to ensure data integrity, availability, and compliance across the organization.
• Partner cross-functionally with Product, Engineering, Clinical, and external teams to prioritize data initiatives that advance Daymark’s mission and scale our value-based care model.

After Six Months, You Will:

• Fully operationalize Daymark's data workflows, ensuring seamless integration with partners and internal teams.
• Develop and maintain real-time analytics capabilities to monitor key metrics and inform strategic decisions.
• Collaborate with engineering and other teams to integrate analytics into production systems.
• Provide ongoing insights from partner and provider data that directly impact patient outcomes and business success.
• Define and implement key performance indicators (KPIs) that measure the quality and effectiveness of Daymark’s data solutions.

WHAT WE ARE LOOKING FOR

• Experience: You bring 10+ years of experience across data strategy, engineering, analytics, or data science, with a strong technical foundation and track record of building scalable data systems in cloud environments. You’ve led teams and implemented modern data stacks including Snowflake, AWS, dbt, and other best-in-class tools.
• Leadership: You’ve led high-impact data initiatives, managed cross-functional projects, and built technical teams or functions from the ground up. You are comfortable making architectural decisions, driving execution, and aligning stakeholders around data priorities that support business and clinical goals.
• Healthcare data expertise: You have a deep understanding of healthcare data—particularly claims, EMR, and patient-generated health data—and