Director of Data & Analytics

Gifthealth•Columbus, OH

just now•Remote

About The Position

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.

Requirements

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, BigQuery, 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.
Bachelor’s degree in a quantitative or technical field; advanced degree preferred.
Strategic thinker with strong execution discipline
Excellent communicator able to influence technical and non-technical stakeholders
Builder mindset with a track record of scaling teams and platforms
Pragmatic, outcomes-oriented approach to analytics
High standards for data quality, trust, and operational excellence
Must be able to work onsite as needed
Must be able to work at a computer for at least 8 hours
Must be able to perceive and interpret data from Gifthealth’s business systems in a timely manner
Must be able to operate computer to prepare reports and analytics compendia in a timely manner
Must be able to communicate data/analytical findings to non-statistical coworkers and management in a timely manner
Must be able to consider/generate a large amount of data, sequence thoughts and apply logical conclusions to offer practical solutions to the issues presented by the data

Nice To Haves

Experience working with or supporting pharmaceutical manufacturers or large healthcare partners.
Familiarity with pharmacy operations, hub services, patient services, or healthcare commercialization analytics.
Exposure to advanced analytics, experimentation, or machine learning use cases.

Responsibilities

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.
Support sales performance, growth analytics, customer segmentation, and pipeline visibility.
Enable retention, engagement, outcomes measurement, and proactive risk identification.
Drive operational efficiency, throughput, quality, and compliance insights.
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.