Director, Data Product & Analytics Engineering – Pathway AI

Who We Are

BioMarin is a leading rare disease biotechnology company focused on genetically defined conditions.

Guided by our purpose to develop medicines that make a profound impact on people’s lives, our global teams have delivered a portfolio of therapies since our founding in 1997. Our revolutionary treatments for conditions like achondroplasia (the most common form of dwarfism), PKU (phenylketonuria), CLN2, a form of Batten disease, and a number of forms of MPS (mucopolysaccharidosis) offer new possibilities for patients and families who previously had few, if any, available options. More recently, with the close of the Amicus acquisition, our portfolio has expanded to include therapies for Fabry disease and Pompe disease, expanding our ability to reach more people living with rare genetic conditions.

Our success comes from our unwavering commitment to excellence, our deep understanding of patient needs, our scientific expertise, and our world-class manufacturing capabilities. At the heart of BioMarin is a dedicated team of the brightest minds in the industry working together to deliver innovative therapies to patients and families around the world. 

About Digital, Technology & AI and Patient FIND 

This role sits within BioMarin’s Digital, Technology & AI organization and supports the enterprise Patient FIND capability, a strategic, technology enabled effort to identify, reach, convert, and optimize patients across the full patient journey, from early signal detection through diagnosis, treatment initiation, retention, and line progression across BioMarin’s rare disease portfolio.

The Patient FIND capability connects Commercial, Medical Affairs, R&D, DTA, and external partners so that patient level intelligence can move from raw signal to governed data asset to clinical and commercial action.

BioMarin’s Patient FIND work is focused on the systematic use of structured data, including claims, EMR, lab, Rx, specialty pharmacy, CRM, digital engagement, and other relevant sources, combined with analytics and AI/ML to identify undiagnosed or undertreated patients at population scale. Priority approaches include claims and EMR mining, AI/ML patient identification, specialty pharmacy data, population segmentation, signal-based targeting, and digital intent signals. 

Role Summary 

The Director, Data Product & Analytics Engineering – Patient FIND Capability will be accountable for developing, owning, and delivering the reusable data product and analytics engineering foundation that enables BioMarin’s enterprise Patient FIND strategy to scale across brands, disease areas, geographies, and use cases.

This role serves as a senior technical operator and strategic execution leader at the intersection of data strategy, analytics engineering, data science enablement, governance, and business activation. The person in this role will translate Patient FIND strategy into governed, reusable, technically sound data products, analytical workflows, feature logic, quality controls, lineage, and measurement infrastructure that can support AI/ML models, CRM and field activation, BI, omnichannel workflows, and executive decision-making. This is a hands-on leadership role with direct accountability for moving Patient FIND from fragmented, use-case-specific builds toward a scalable enterprise capability. The role will define technical patterns, establish reusable data product standards, drive alignment across engineering, analytics, governance, commercial, medical, and external partner teams, and ensure early Patient FIND use cases create durable assets that can be reused and extended. 

The ideal candidate brings direct experience with healthcare or life sciences data, strong SQL and Python capability, familiarity with claims, EHR/EMR, CRM, specialty pharmacy, digital engagement, or real-world data, and the ability to translate complex analytical work into technical requirements that enable business-ready decisions. 

The role does not own enterprise Patient FIND strategy, commercial activation strategy, or formal governance decision rights; however, it will be accountable for translating those strategies and decisions into an executable data and analytics foundation, surfacing tradeoffs, recommending scalable paths forward, and ensuring the technical work is delivered with quality, reuse, governance, and measurable business impact.

Key Responsibilities 

Patient FIND Data Translation and Technical Requirements 

• Develop, own, and be accountable for the technical requirements framework for Patient FIND, translating business, scientific, and strategic priorities into executable data products, analytical logic, data flows, and measurable outcomes. 
• Own and maintain an integrated view of Patient FIND use cases, source data, shared data layers, technical dependencies, implementation risks, and delivery priorit