Vertex Pharmaceuticals is seeking a Director of Data and Analytics Capabilities to lead transformative innovation within the Data & Analytics (D&A) Center of Excellence (COE) for its U.S. Market Access (USMA) organization. The role aims to shape and lead the future of AI-powered decision-making across Market Access functions, supporting the company's innovative pipeline and driving business results by aligning data-driven insights with strategic business priorities.
Requirements
- Proficiency in D&A with deep expertise in evolving U.S. Market Access strategies, payer account management, channel dynamics, payer/distribution channels (commercial, government, SP, GPOs, etc.).
- Demonstrated experience working with syndicated Market Access databases (IQVIA, MMIT etc.) and shipment data (852, 867, Integrichain, etc.).
- Strong analytical capabilities with expertise in data analysis tools (e.g., Excel, SQL, SAS, Alteryx, PowerBI), with a working knowledge of analytical tools/software such as R, Python and data warehouse platforms (Snowflake).
- Designing and executing transformative AI/ML strategies—including emerging areas such as Generative AI and Agentic AI frameworks.
- Ability to partner and communicate with senior leadership to support financial forecasting and analytics, and/or commercial launch planning.
- Good understanding of state/federal policies, government programs impacting market access, and statutory government pricing methodologies.
- Diverse US product launch experience across different therapeutic areas strongly preferred.
Responsibilities
- Responsible for developing and executing a data & analytics capabilities that enables scalable insights across in line brands, pipeline assets aligning with US Market Access business priorities to drive business results and transform patient outcomes.
- Oversee the Data Enablement, to lead the establishment a common data foundation of analytics ready data products, ensuring seamless data and analytics capability integration across multiple data domains including payer accounts and field operations, pricing, chargebacks and reimbursements, trade and distribution and 3rd party data acquisition and vendor management.
- Oversee the Data Governance, to lead the implementation of a data governance framework, driving data discipline, integrity, security, and compliance to strengthen the baseline for D&A innovation
- Take charge of the Advanced Analytics capabilities, building a strong team over time, to enable real-time insights through AI-driven models, self-service analytics, and predictive intelligence to generate pipeline value narratives for market shaping, strengthen coverage and utilization via access expansion and barrier reduction, and drive launch success.
- Elevate analytics with Advanced ML, implementing multi-level analytical models to accurately attribute 340B vs. non-340B dispenses, stop 340B revenue leakage, using isolation forests for anomaly detection.
- Drive new KPIs and continuous performance monitoring in post-deal analytics, identifying opportunities for pull-through effectiveness and provide inputs to inform pre-deal feasibility assessment.
- Lead change management efforts to embed Gen AI-enhanced data & analytics capabilities into strategic decision-making, ensuring agility and scalability including intelligent knowledge hub with conversational agent interfaces.
Other
- This is an individual contributor role that will over time lead a team of data analysts and scientists
- Bring deep domain expertise across at least two core pillars of U.S. Market Access, such as Pricing & Contracting, Trade & Distribution, Gross-to-Net Management, Chargebacks, Rebates & Discounts, and Market Access Strategy.
- Work cross-functionally with senior executives across USMA, Commercial, and Enterprise functions to align data-driven insights with strategic business priorities.
- Exceptional storytelling and executive communication skills, with a strong ability to drive organizational buy-in for data and analytics initiatives, influence stakeholders, and translate complex data into actionable, value-driven narratives.
- Foster a data-driven culture by leading enterprise-wide data literacy and training initiatives, empowering Payer Field teams, Trade & Distribution, Pricing & Contracting teams to leverage AI/ML-powered insights.
