Director of Data & Analytics at Gifthealth

Columbus, Ohio, United States -

Full Time

Start Date

Immediate

Expiry Date

23 Mar, 26

Salary

0.0

Posted On

23 Dec, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Architecture, Data Engineering, Analytics Delivery, Business Intelligence, Cloud-Based Platforms, Data Governance, Healthcare Analytics, Team Leadership, Data Modeling, Performance Measurement, Operational Optimization, Data Privacy, Advanced Analytics, Customer Success, Pharmacy Operations, Sales Performance

Industry

technology;Information and Internet

Description

Description 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. Position Summary 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. Key Responsibilities Strategy & Leadership 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. Data Platform & Engineering 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. Analytics & Insights Delivery 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. Business Unit Enablement 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. Governance, Quality & Compliance 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. Qualifications 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. Preferred Skills: 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. Bachelor’s degree in a quantitative or technical field; advanced degree preferred. Leadership Competencies 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 Work Environment Location: Remote Schedule: Full-time May require additional availability or flexibility for escalations. Regular meetings with your team, department, or leadership to ensure alignment. Key Essential Functions 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 Employment Classification Status: Full-time FLSA: Exempt Equal Employment Opportunity (EEO) Statement Gifthealth is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind. All employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, transgender status, national origin, age, disability, veteran status, or any other legally protected status. We celebrate diversity and are committed to creating an inclusive environment for all employees. If you do not meet every requirement but still feel you would be a great fit for this role, we encourage you to apply! Disclaimer This job description is intended to describe the general nature and level of work being performed. It is not intended to be an exhaustive list of all responsibilities, duties, or skills required of personnel. Gifthealth reserves the right to modify job duties or descriptions at any time.

Responsibilities

The Director of Data & Analytics is responsible for defining and executing the enterprise data and analytics strategy, partnering with key business units to drive data-driven decision-making. This role includes overseeing the analytics ecosystem, building high-performing teams, and ensuring actionable insights across the organization.