AD, Data and AI Strategist
Location San Rafael, California ApplyWho We Are
BioMarin is a global biotechnology company that relentlessly pursues bold science to translate genetic discoveries into new medicines that advance the future of human health.
Since our founding in 1997, we have applied our scientific expertise in understanding the underlying causes of genetic conditions to create transformative medicines, using a number of treatment modalities.
Using our unparalleled expertise in genetics and molecular biology, we develop medicines for patients with significant unmet medical need. We enlist the best of the best – people with the right technical expertise and a relentless drive to solve real problems – and create an environment that empowers our teams to pursue bold, innovative science. With this distinctive approach to drug discovery, we’ve produced a diverse pipeline of commercial, clinical and preclinical candidates that have well-understood biology and provide an opportunity to be first-to-market or offer a substantial benefit over existing therapeutic options.
About Corporate Groups
It takes a village, and at BioMarin our corporate groups are the people behind our success. Groups such as IT, Finance, Legal, Global Compliance & Ethics, and our People Team provide foundational support of all areas of operation at BioMarin.
Summary:
We are seeking an accomplished Data and AI Strategist to join our expanding Data Foundations function within the Enterprise Architecture team. In this role, you will serve as a trusted advisor, enabling the organization to leverage data, AI, and technologies as critical assets for business success. You will lead the delivery of transformational data assets that enhance business understanding and accelerate growth. With a focus on data as the backbone and AI as the catalyst for transformation, you will collaborate with key stakeholders and data practitioners to implement a Data Foundations blueprint that drives innovation through data-first solutions. This position requires a strong background in data management, strategic thinking, and a proven ability to deliver solutions that result in measurable business impact.
This role involves delivering data strategic imperatives and acting as a key liaison between data and AI engagements, ensuring data is used to enhance AI capabilities led by the AI team. Additionally, this position will develop and execute key integrations throughout the organization, establishing a strong data foundation for an overall data and AI transformation.
Responsibilities:
Create actionable recommendations using best practices in:
- Customer Data Platforms and management tools.
- Data quality and governance frameworks.
- Scalable strategies and change management.
- Present clear findings in professional reports, including use cases, gap analyses, solution architectures, future state designs, and roadmaps.
- Collaborate with cross-functional teams, including data strategists, analysts, experience experts, and technical specialists, as well as partners' SMEs and solution architects.
- Stay informed about industry trends, emerging technologies, and best practices to ensure solutions remain cutting-edge and relevant to business needs.
Required Skills and Experience
- Over 5 years in strategic consulting focused on data strategy and AI transformation.
- Delivered data-driven projects with measurable business outcomes.
- Expertise in leveraging various data domains (Customer, Patient, Commercial, GXP) for innovation and adoption.
- Experienced in data-driven marketing, campaign development, measurement, and optimization.
- Knowledgeable about Data Foundations ecosystem: Customer Data Platforms, cloud-based platforms (e.g., Databricks, Datasphere, Fabric), and journey orchestration tools.
- Skilled in translating business challenges into data and AI strategies and solutions.
- Strong communication and presentation abilities; capable of influencing technical and non-technical stakeholders.
- Experience in cross-functional and intercultural teams with strong interpersonal and organizational skills.
- Familiar with machine learning, statistics, empirical economics, Adobe/Google Analytics, and data visualization platforms (e.g., Power BI).
- Understanding of data domain models and business capabilities mapping for data strategies.
- Knowledge of experimentation and data maturity frameworks.
- Quantitative background in Business Informatics, Computer Science, Economics, or related disciplines.
- Bachelor’s degree required.
- 6 years in Data Management including Data Strategy, Big Data, Data Quality, Data Modeling, Data Governance, Data Integration/ETL, Metadata Management, and Data Security.
Note: This description is not intended to be all-inclusive, or a limitation of the duties of the position. It is intended to describe the general nature of the job that may include other duties as assumed or assigned.
Equal Opportunity Employer/Veterans/Disabled
An Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.
Equal Opportunity Employer/Veterans/Disabled
An Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.
In the U.S., the salary range for this position is $ 152,000 to $ 228,000 per year, which factors in various geographic regions. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A discretionary bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.