Director, Data Product & Analytics Engineering – Pathway AI
- Compensation
- Not disclosed
- Location
- San Rafael, United States
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 8+ years
- Category
- Not specified
- Posted
Skills
Must have
- Bachelor’s degree in Data Science, Computer Science, Engineering, Statistics, Mathematics, Bioinformatics, Health Informatics, Epidemiology, Life Sciences, or related quantitative field.
- 8+ years of progressive experience in data science, analytics engineering, healthcare analytics, data product development, life sciences analytics, or related technical leadership roles.
- Demonstrated experience leading complex, cross-functional data or analytics initiatives from ambiguous business need through technical design, delivery, governance, and downstream adoption.
- Strong SQL and Python capability, with experience transforming, profiling, validating, and analyzing large-scale healthcare or life sciences data.
- Experience developing reusable analytical datasets, feature logic, model inputs, data products, measurement layers, and production-grade analytical workflows.
- Experience working with healthcare or pharmaceutical data sources such as claims, EHR/EMR, lab data, Rx data, CRM, specialty pharmacy, hub/patient services, digital engagement, or real-world data.
- Demonstrated ability to set technical direction, influence senior stakeholders, and align matrixed teams around reusable data and analytics patterns.
- Strong understanding of data quality, metadata, reproducibility, lineage, access controls, privacy considerations, governed analytics, and AI/ML enablement.
- Proven ability to translate ambiguous strategic questions into structured technical requirements, build plans, tradeoffs, and recommendations.
- Strong executive communication skills, including the ability to explain data logic, technical risks, delivery options, and business implications to technical and non-technical audiences.
Nice to have
- Experience in pharma, biotech, rare disease, specialty pharmacy, commercial analytics, medical analytics, RWD, HEOR, or patient identification and patient finding.
- Experience with Databricks, Snowflake, Azure, AWS, Dataiku, dbt, Airflow, Git, Power BI, Tableau, or similar modern data and analytics platforms.
- Familiarity with MLOps, model monitoring, CI/CD, API based data products, or production grade analytics workflows.
- Experience supporting commercial pharma use cases such as HCP targeting, patient finding, patient journey analytics, adherence, treatment switching, territory or account prioritization, launch analyti
- Experience working in a highly regulated environment with privacy, compliance, legal, medical, and governance stakeholders.
- Familiarity with rare disease commercialization, diagnostic odyssey, claims or EHR signal detection, HCP network mapping, or patient activation pathways.
- Ability to work across technical teams and business teams, especially where ownership, definitions, and decision rights are still being clarified.
Full description
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.