Director of Data & Analytics

About RightMove

RightMove is redefining how value-based musculoskeletal (MSK) care is delivered. Built in partnership with the Hospital for Special Surgery (HSS)—the world leader in MSK health trusted by elite athletes—we’re creating a new standard of coordinated, expert-led care that gets people moving better and faster.

We partner with PCPs, Orthopedic specialists, and health plans to deliver high-value, patient-centered MSK care. Our value-based care model includes patient engagement, virtual physical therapy, and care navigation to high-value imaging and specialty partners.

Our Mission & Values

We’re a high-performing team driven by one mission: to free people to move and thrive. At RightMove, we move fast, collaborate deeply, and deliver with precision. We’re a startup with enterprise-grade rigor—where talented operators, engineers and clinicians challenge conventions to improve patient outcomes.

We live our values every day:

• Perform to Win – We bring our best to deliver measurable results, valuing impact over optics.
• Be Direct with Respect – We communicate clearly, with honesty and care.
• Move as One Team – We win together, across roles and functions.
• Act with Agency – Our teams have high trust and high accountability, with the freedom to own and responsibility to deliver.
• Choose Optimism – We bring energy and perspective, even when the work is hard.

About the Role

RightMove is seeking a Director of Data & Analytics to build and lead our internal analytics function as we scale. This role will be responsible for developing the data models, analytical frameworks, and savings methodologies that support RightMove’s payer partnerships, value-based care arrangements, and market expansion.

This is a hands-on leadership role in a growth-stage startup environment. The Director will help establish the foundation of our analytics capabilities—from defining data structures and risk stratification methodologies to generating payer-ready insights that demonstrate the impact of RightMove’s care model.

The ideal candidate thrives in a startup environment, is comfortable building analytical frameworks from the ground up, and can balance strategic leadership with hands-on execution. As RightMove grows, this leader will scale the analytics function, building the infrastructure, reporting tools, and team needed to support the company’s long-term growth.

What You’ll Do

Data Strategy & Model Development

• 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.

Analytics & Market Insights

• 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 (e.g. still exploring but likely Sigma or LightDash) to support internal decision-making and customer reporting.

Drive Savings Model Development

• 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.

Actuarial & Clinical Collaboration

• 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.

Network & Provider Analytics

• 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.

Build & Scale the Analytics Function

• 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.

Must-Haves

• 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.

Preferred

• Experience with musculoskeletal (MSK) care, orthopedic analytics, or specialty condition management.
• Familiarity with value-based care arrangements or risk-based contracts.
• Experience working with benchmark datasets such as Marketscan or LDS.
• Experience building analytics capabilities in a startup or growth-stage healthcare company.