Director, Data & Analytics; Remote; East Coast Preference Remote

Director, Data & Analytics (Remote; East Coast Preference) job at Right Move Health. Remote.

Right Move 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.

We're a high-performing team driven by one mission: to free people to move and thrive. At Right Move, 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.

• 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.

• 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.

• 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.”

• 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).

• 7–10 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/Big Query 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.

• 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.