Manager, AI- Data Modeling

Responsibilities

• Design and develop conceptual, logical, and physical data models for R&D data assets.
• Translate business and scientific requirements into structured, scalable data models.
• Support modeling delivery across Research and Clinical domains.
• Apply modeling practices enabling AI/ML and advanced analytics use cases and consistent downstream data inputs/context.
• Structure data to improve usability, reusability, and alignment with AI-enabled workflows.
• Develop reusable schemas, templates, and shared data models; apply enterprise standards, ontologies, and naming conventions.
• Promote reuse through data hubs, APIs, and standardized structures.
• Collaborate with domain experts, data engineers/architects, and data scientists to ensure implementable models and integrate them into pipelines/AI workflows.
• Incorporate data quality rules, metadata, and lineage; align with enterprise data governance standards.

• Bachelor’s or Master’s in Computer Science, Data Science, Bioinformatics, or related field.
• Relevant experience in data modeling, data architecture, or data engineering.
• Experience with structured data in complex life sciences/R&D environments (preferred).
• Demonstrated R&D domain experience (preferred).
• Conceptual, logical, and physical data modeling; data modeling tools/techniques.
• Data platforms (data lakes, warehouses, APIs), shared data assets, schema design.
• AI/ML or advanced analytics use cases (preferred); ontologies/semantic modeling (nice to have).

• U.S. base salary range: $116,000–$182,270.
• Eligibility may include medical/dental/vision, 401(k) match, disability, life insurance, tuition reimbursement, paid vacation/sick time, holidays, and well-being benefits.