Director of Data & Analytics

Role Overview

• Lead development and refinement of RightMove’s MSK condition and procedure data model, including cohort definitions, inclusion/exclusion logic, and episode construction.
• Partner with engineering and data teams to support ingestion and integration of key datasets, including claims, eligibility, provider network, and referral data.
• Develop and maintain clear, payer-ready methodology documentation describing RightMove’s cohort definitions, cost attribution models, and analytical methodologies.
• Develop analytical models and reporting that inform market opportunity, utilization patterns, and care pathways across MSK populations.
• Analyze cost and utilization trends by condition, geography, provider type, and site of care.
• Evaluate patient care journeys and referral pathways to identify variation in care patterns and opportunities for earlier intervention.
• Build dashboards and reporting tools using modern BI tools, likely Sigma or LightDash, to support internal decision-making and customer reporting.
• Lead refinement of RightMove’s clinical savings models, estimating the financial impact of clinical programs and pathways.
• Develop population-level cost and utilization models that support PMPM savings projections, intervention impact estimates, and value-based care contracting discussions.
• Partner with clinical leadership and external experts to ensure analytical approaches reflect real-world care pathways and operational interventions.
• Work with RightMove’s actuarial partner to validate savings methodologies, risk adjustment approaches, and cost modeling assumptions.
• Translate analytical outputs into clear insights that support payer conversations, contracting discussions, and customer reporting.
• Analyze provider and facility performance to identify cost drivers, variation in practice patterns, and referral behaviors.
• Generate insights that support network design, preferred provider strategies, and referral pathway optimization.
• Partner with clinical and market development teams to support provider engagement with actionable data insights.
• Establish foundational data and analytics capabilities, including scalable reporting infrastructure and analytical workflows.
• Partner with data engineering to build a modern analytics stack that supports both internal analytics and external customer reporting.
• Develop internal dashboards and customer-facing reporting using business intelligence tools.

Requirements

• 8+ years of experience in healthcare analytics, health economics, payer analytics, or health services research.
• Deep experience working with medical and pharmacy claims data.
• Strong understanding of ICD-10, CPT/HCPCS codes, and episode-based healthcare analysis.
• Experience analyzing healthcare utilization patterns, cost drivers, and provider variation.
• Experience building savings models, actuarial analyses, or value-based care analytics.
• Strong SQL skills and proficiency in analytical tools such as Python, R, or similar.
• Ability to translate complex analyses into clear insights and narratives for business leaders, clinicians, and payer stakeholders.
• Experience presenting analytics and insights to customers, payer partners, or external stakeholders is strongly preferred.

Tech Stack

• Python
• SQL

Benefits

• (Not explicitly mentioned)