RightMove Health

Compensation

Full Description

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 athleteswe'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 rigorwhere 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. What You'll Do Build the Data Foundation • Design and implement our modern data stack (e.g. Snowflake + AWS + Sigma + ETL tooling). • Build and maintain automated ingestion pipelines from EHR, claims, CRM, and engagement systems. • Establish and own data models that support population health, outcomes reporting, and business intelligence. Analytics & Reporting • Create and manage a suite of dashboards (Sigma or similar) used by internal and external stakeholders. • Translate data into clear, actionable insights for clinical, product, operations, and leadership teams. • Develop robust KPI frameworks to track patient outcomes, quality measures (STARS/HEDIS), and operational performance. Governance & Compliance • Implement data governance, lineage, and access controls aligned with HIPAA and SOC 2. • Define data quality standards, monitoring, and validation processes. • Partner with security and engineering to ensure privacy and safety by design. Collaboration & Leadership • Serve as the data thought-partner for both technical and non-technical teams. • Occasionally join customer conversations (payers, providers) to shape reporting and insight delivery. • Hire, mentor, and scale a small data team over time (engineering + analytics). Must-Haves • 710 years in data engineering or analytics, with at least 3 years in a healthcare or health-tech context. • Hands-on experience with Snowflake (or Redshift/BigQuery equivalent) and ETL tools (Fivetran, dbt, custom pipelines). • Strong SQL and data modeling skills; fluency in Python or similar for data transformation. • Proven ability to design dashboards and reports (Sigma,Tableau, Power BI, etc.) for diverse audiences. • Understanding of healthcare data standards (HL7, FHIR, claims, eligibility, encounters). • Comfortable operating as both builder and strategic advisor from schema design to executive storytelling. • Excellent communicator able to translate complex data concepts for clinical, operational, and executive stakeholders. • Exposure to machine-learning or AI-driven analytics pipelines. Preferred • Experience in value-based care, population health, or payer/provider analytics. • Familiarity with AWS data services (Glue, Redshift, S3, Lambda). • Prior startup experience building from zero to one.