Director of Data & Analytics
Listed on 2025-12-25
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IT/Tech
Data Analyst, Business Systems/ Tech Analyst, Data Science Manager, Data Security
Director of Data & Analytics
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About UsAt Gifthealth, we're revolutionizing the way people experience healthcare by simplifying the process of managing prescriptions and health services. Our mission is to provide a seamless, personalized, and efficient healthcare experience for all our customers. We're a dynamic, innovative, and customer‑centric company dedicated to making a positive impact on people’s lives.
Position SummaryThe Director of Data & Analytics is a senior leader within the Technology organization responsible for defining and executing the enterprise data and analytics strategy in support of key business units:
Commercial, Customer Success, Pharmacy Operations, and Enterprise Customers. This role owns the end‑to‑end analytics ecosystem—including data architecture, engineering, analytics delivery, and governance—and partners closely with business and functional leaders to drive measurable outcomes through data‑driven decision‑making. The Director will build and scale high‑performing data and analytics teams, establish modern analytics capabilities, and ensure trusted, compliant, and actionable insights across the organization.
- Define and execute the enterprise data and analytics strategy aligned with company objectives and Technology roadmaps.
- Serve as a strategic partner to Commercial, Customer Success, Pharmacy Operations, and Enterprise Customers stakeholders, translating business priorities into scalable analytics solutions.
- Establish analytics as a core capability that enables growth, operational efficiency, and client/partner value.
- Lead, mentor, and scale a multidisciplinary team spanning data engineering, analytics engineering, BI/reporting, and advanced analytics.
- Own the design, implementation, and evolution of the company’s data architecture, including data ingestion, transformation, storage, and semantic layers.
- Ensure data reliability, scalability, performance, and cost‑effectiveness across cloud‑based data platforms.
- Partner with Engineering, Product, and Security teams to integrate analytics into operational systems and workflows.
- Establish best practices for data modeling, pipeline development, testing, monitoring, and documentation.
- Oversee development of dashboards, reporting, and self‑service analytics for Commercial, Customer Success, Pharmacy Operations, and Enterprise Customers‑facing teams.
- Enable advanced analytics use cases such as forecasting, performance measurement, operational optimization, and experimentation.
- Ensure analytics outputs are actionable, clearly communicated, and tied to business KPIs.
- Standardize metrics, definitions, and reporting to create a single source of truth.
- Commercial:
Support sales performance, growth analytics, customer segmentation, and pipeline visibility. - Customer Success:
Enable retention, engagement, outcomes measurement, and proactive risk identification. - Pharmacy Operations:
Drive operational efficiency, throughput, quality and compliance insights. - Enterprise Customers:
Deliver trusted reporting, operational transparency, and performance insights aligned with contractual and partnership requirements. - Establish and enforce data governance, quality standards, and access controls.
- Ensure analytics practices comply with healthcare, pharmacy, and data privacy regulations (e.g., HIPAA where applicable).
- Partner with Legal, Compliance, and Security to manage data risk and stewardship.
- 10+ years of experience in data, analytics, or business intelligence, with at least 5 years in a people leadership role.
- Proven experience building and operating modern cloud‑based analytics platforms (e.g., Snowflake, Big Query, Redshift, Databricks).
- Strong background in data engineering, analytics engineering, and BI tools (e.g., dbt, Looker, Tableau, Power BI).
- Demonstrated ability to partner with senior business leaders and translate complex needs into scalable analytics solutions.
- Experience supporting operationally complex domains such as healthcare, pharmacy, life sciences, or regulated environments.
- Preferred
Skills: - Experience working with or supporting…
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