Manager, data strategy & analytics

Reimagine Care is a virtual oncology care management company that partners with health systems to extend cancer care beyond the clinic walls. Through a combination of AI-driven patient engagement, virtual care coordination, and clinician-led support, we help oncology programs improve patient outcomes, reduce avoidable acute care utilization, and build the infrastructure for value-based oncology contracting.

Our platform captures a rich, longitudinal view of the between-visit cancer patient experience, including patient-reported symptoms, AI-mediated interactions, clinical escalations, engagement patterns, and care utilization.

The Manager, Data Strategy & Analytics, is responsible for the day-to-day delivery of analytics at Reimagine Care. This role develops and maintains the measurement and reporting needed to demonstrate program value to clients, support internal operational decisions, monitor AI quality, and enable commercial growth.

This is a hands-on individual-contributor role. The right candidate will be comfortable writing complex SQL, developing KPI frameworks, building Tableau dashboards, conducting outcomes analyses, and preparing clear materials that support commercial growth and client and executive reporting. They should also understand how a virtual oncology company can responsibly use its data to create value for providers, life sciences, and the broader industry.

The work spans multiple domains and requires someone who can move between analytical problem-solving and technical execution with equal ease. Based on business needs and the selected candidate’s experience, the role may be leveled at Director with a corresponding expansion in strategic, client-facing, and functional leadership responsibilities.

KEY RESPONSIBILITIES

• Client Performance Analytics & Outcomes Reporting
• Analytics Infrastructure & Platform Development
• Commercial & Sales Enablement
• Advanced Analytics & AI Governance
• Cross Functional Collaboration

QUALIFICATIONS

Required

• 5+ years of experience in healthcare analytics, health system strategy, population health, or a closely related field
• Experience managing complex analytics projects or workstreams
• Demonstrated experience building outcomes measurement frameworks and developing performance reporting for health system or executive audiences
• Strong SQL skills with the ability to write, validate, and maintain complex production queries against relational databases
• Proficiency with an enterprise business intelligence platform; Tableau experience is strongly preferred
• Working knowledge of healthcare economics: fee-for-service vs. value-based reimbursement, payer contracting, acute care cost structures, and models like the Enhancing Oncology Model
• Experience in designing and interpreting quantitative research in applied settings (cohort studies, pre/post comparisons, survival analysis, survey analysis)
• Ability to translate complex data into clear findings and recommendations for nontechnical audiences
• Comfort working independently and managing multiple priorities in a growth-stage environment

Preferred

• Experience in oncology care delivery, or cancer center operations
• Experience with healthcare data monetization, real-world evidence (RWE) generation, or partnerships with pharmaceutical or life sciences organizations
• Familiarity with AI/ML model monitoring, LLM evaluation, quality governance, or clinical decision-support safety frameworks
• Experience with Databricks, cloud data platforms, or modern analytics engineering workflows
• Experience building ROI models, financial impact analyses, or value-based contracting analytics for health system or payer buyers
• Exposure to predictive or prescriptive analytics use cases in healthcare (risk stratification, intervention targeting, resource optimization)

Remote position but candidate must be located within the United States.