athenahealth
Join us as we work to create a thriving ecosystem that delivers accessible, high-quality, and sustainable healthcare for all.Director, Data LeadAbout Epocratesepocrates is a free clinical reference app used by over 1M doctors and health care providers annually to make the best patient care decisions about medication and treatment. With the epocrates+ paid offering, subscribers can access additional premium clinical content for a monthly or annual fee. Our multi-disciplinary team of SMEs -- front and backend engineers, product management veterans, visual designers, UX researchers, data experts, and more -- work together to create a product for health care providers that enables them to deliver the best possible care to their patients while saving valuable time.About the RoleWe are looking for a Director of Data to lead our data strategy, infrastructure, and team as we scale and turn our data into a product. This is a high-impact leadership role responsible for overseeing data engineering, analytics, governance, and data monetization initiatives. You will define how data is collected, stored, analyzed, and transformed into a business asset-both for internal decision-making and external revenue-generating opportunities.You will work closely with product, engineering, marketing, finance, and executive leadership to build a best-in-class data organization that enables data-driven decision-making and supports our growth, operational efficiency, and data monetization strategy.Key ResponsibilitiesData Strategy & Business Impact Develop and execute a company-wide data strategy aligned with business objectives. Lead the monetization of data, developing and scaling data-as-a-product initiatives (e.g., APIs, analytics platforms, AI-driven insights). Define and track data-driven KPIs that support growth, retention, and operational efficiencies. Partner with executive leadership to embed data-driven decision-making across the organization.Data Infrastructure & Engineering Own and scale our data architecture, pipelines, and cloud infrastructure (AWS, GCP, or Azure). Oversee the development and maintenance of data lakes, warehouses (Snowflake, BigQuery, Redshift), and ETL processes. Ensure scalable, reliable, and secure data infrastructure to support both internal and external data products. Drive innovation in data integration, real-time analytics, and AI/ML applications.Data Productization & Monetization Work with product and engineering teams to develop, package, and sell data products. Define pricing models, customer access, and API integrations for data-as-a-service offerings. Ensure customer-facing data products are high-quality, reliable, and provide clear value. Manage data partnerships, licensing, and external collaborations.Data Governance, Security & Compliance Establish strong data governance frameworks to ensure data accuracy, security, and compliance (GDPR, CCPA, HIPAA if applicable). Implement data privacy policies and best practices for data usage and access. Ensure ethical and responsible AI & data use, especially for external data monetization.Leadership & Team Development Build, manage, and mentor a high-performing data team, including data engineers, analysts, and data scientists. Foster a data-driven culture across the organization, enabling self-service analytics where possible. Define and scale the Hub-and-Spoke data team structure, ensuring both governance and business alignment.Key Qualifications10+ years of experience in data leadership roles, ideally within Media, SaaS, fintech, or data-driven businesses.Strong expertise in data infrastructure, engineering, and analytics platforms.Experience building and scaling data teams in fast-growing organizations.Proven track record of turning data into a product (monetization through APIs, analytics platforms, or AI/ML-driven insights).Deep understanding of data governance, security, and compliance frameworks (GDPR, CCPA, etc.).Excellent leadership, communication, and stakeholder management skills.Ability to align data strategy with business objectives and make trade-offs when necessary.Experience with subscription-based business models.Knowledge of AI/ML applications and automation in data analytics.Exposure to pricing strategies for data monetization.Experience working with external data partnerships and licensing models. #J-18808-Ljbffr