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
- Design and maintain KPI frameworks for clients covering enrollment, engagement, acute care utilization, symptom burden, patient & provider experience, and AI safety
- Deliver recurring monthly and quarterly performance reports and prepare analyses and materials that support executive and board-level reporting
- Conduct outcomes analyses using methods appropriate to the data: cohort comparisons, pre/post designs, survival analysis, cost avoidance modeling, and longitudinal symptom tracking (e.g., ESAS trajectories)
- Partner with Reimagine Care ’s Client Success team and client stakeholders to define success criteria, align methodologies and comparison cohorts, and establish reporting cadence
- Participate in client-facing meetings, Business Reviews, and Joint Operating Committee presentations by providing analysis, data interpretation, and supporting materials
Analytics Infrastructure & Platform Development
- Collaborate with Data Engineering, Product, and Engineering on analytics workflows across Azure, Databricks, and Tableau and support improvements as the company’s data needs evolve
- Build and maintain validated source-of-truth queries for critical metrics: enrollment, engagement, retention, and cohort classification
- Develop scalable reporting workflows and self-service analytics capabilities so internal teams can answer routine questions without custom query work
- Manage an analytics request intake process that triages, prioritizes, and tracks work across stakeholders
- Maintain data quality standards, documentation, and lineage across production schemas
Commercial & Sales Enablement
- Build and maintain ROI models and financial impact analyses, and translate findings into clear, data-supported materials for prospective clients
- Develop prospect-facing materials grounded in validated program data, including utilization reduction estimates and cost avoidance projections
- Support new product lines, including SaaS licensing of the company’s platform, with KPI libraries, benchmarking frameworks, and proof-of-value collateral
- Partner with marketing and sales teams to ensure data claims in external materia