Director of Data & Analytics

Director of Data & Analytics
About Us

At 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.

The 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…