Director, Client Data Science
New
J
JobgetherHealth Tech
Based in United StatesFull-TimeDirector
Salary not disclosed
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Job Details
- Experience
- 12+ years of experience in data science, analytics, business intelligence, or related fields; 4+ years of experience leading teams
- Required Skills
- PythonSQLBusiness IntelligenceData scienceData modelingdbt
Requirements
- Bachelor’s degree in a quantitative or technical discipline (Economics, Statistics, CS, etc.); Master’s degree preferred.
- 12+ years of experience in data science, analytics, or BI, with significant client-facing reporting experience.
- 4+ years of experience leading teams or managing analytical functions.
- Experience in health tech or healthcare analytics with complex clinical, operational, and commercial reporting.
- Experience supporting RFP processes with data analysis.
- Experience creating or managing SLA frameworks and defining client commitments.
- Expert-level SQL skills and working knowledge of Python.
- Strong production experience with dbt, including data modeling and semantic layer development.
- Experience enabling AI-assisted analytics through semantic modeling and BI context engineering.
- Familiarity with AI-native analytical and developer tools (e.g., Claude, Cursor, Hex AI, Omni AI).
- Experience automating recurring reporting deliverables such as QBRs and dashboards.
Responsibilities
- Own the automation of client Quarterly Business Reviews (QBRs), building AI-enabled systems and workflows that streamline preparation, reporting, insights, and commentary generation.
- Automate recurring weekly and monthly client reporting processes in partnership with Data Engineering to reduce manual effort and improve scalability.
- Lead the client-facing data function for RFPs by providing accurate analysis, benchmarks, and insights that support sales and proposal teams.
- Develop and maintain a standardized framework for client SLAs, ensuring commitments are measurable, validated, and aligned with business capabilities.
- Build and manage the core metrics framework used across Sales, Customer Success, reporting, and client communications.
- Serve as a data consultant supporting external business narratives by validating metrics and ensuring insights are defensible.
- Partner with clinical intelligence teams to understand healthcare outcomes and ROI models.
- Collaborate with Sales and Customer Success leaders as an embedded analytical partner.
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