[Remote] Manager, Data Strategy & Analytics

Note: The job is a remote job and is open to candidates in USA. Reimagine Care is a virtual oncology care management company that uses AI-driven patient engagement, virtual care coordination, and clinician-led support to extend cancer care beyond the clinic. The Manager, Data Strategy & Analytics is responsible for delivering analytics, KPI frameworks, outcomes analyses, reporting, dashboards, AI quality monitoring, and commercial insights to support clients, operations, executive leadership, and growth.

Responsibilities

• 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
• 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
• 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 materials are accurate, defensible, and sourced
• Contribute analytics framing and evidence strategy for value-based care contracting conversations
• Manage the analytics and reporting components of performance monitoring and quality governance for the company’s AI-driven care platform, including dashboards, KPI definitions, and analysis
• Develop and track AI safety and accuracy metrics in partnership with Clinical, Product, and Technology stakeholders, including confusion matrix-derived indicators and clinician review outcomes
• Produce regular AI quality reports for internal leadership and client-facing audiences and prepare supporting materials for board reporting
• Identify opportunities to apply predictive and prescriptive analytics to clinical and operational problems: risk stratification, early intervention targeting, resource allocation, and care pathway optimization
• Evaluate and pilot the use of large language models (LLMs) and other emerging AI capabilities to augment the analytics function itself, such as automated insight generation and natural language querying
• Coordinate analytics priorities and deliverables in alignment with the company’s client portfolio, product roadmap, and business needs
• Prepare structured updates and ad hoc analyses to support executive leadership decision-making
• Work cross-functionally with Product, Engineering, Clinical Operations, and Commercial teams to embed analytics into decision-making across the organization
• Engage with external data vendors, care partners, and research collaborators to support the organization's analytics and reporting needs

Skills

• 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
• Tableau experience is strongly 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

Benefits

• Remote position; candidate must be located within the United States.

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