Director, Data & Analytics (Remote; East Coast Preference)
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.
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