Director - R&D DDSAI - Therapeutics Development & Supply (TDS

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Through our expertise in Innovative Medicine and Med Tech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity.

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Data Analytics & Computational Sciences

Data Science

People Leader

Spring House, Pennsylvania, United States of America

Director- TDS Data, Data Science & AI – R&D DDSAI – Therapeutics Development & Supply (TDS)

Johnson & Johnson Innovative Medicine is recruiting for Director- TDS Data, Data Science & AI – R&D DDSAI – Therapeutics Development & Supply (TDS)

The primary location for this position is open to Spring House, PA

J&J Innovative Medicine develops treatments that improve the health of people worldwide. Research and development areas encompass oncology, immunology, neuroscience, cardiopulmonary and specialty ophthalmology. Our goal is to help people live longer, healthier lives. We have produced and marketed many first-in-class prescription medications and are poised to serve the broad needs of the healthcare market — from patients to practitioners and from clinics to hospitals.

To learn more about Johnson & Johnson Innovative Medicine visit

Therapeutics Development & Supply (TDS) is the bridge between scientific discovery and clinical application, encompassing Chemistry, Manufacturing and Controls (CMC), Device development, and clinical supply chain. This organization ensures that every molecule, modality and delivery system is robustly developed, scaled, and supplied under rigorous and regulatory standards.

The R&D Data Science organization is seeking a Director, Data, Data Science and AI to lead a team of data product engineers, data scientists, and ontology developers in support of the Therapeutics Development and Supply organization. This people leader role is responsible for building and scaling the data engineering, semantic, ontology, and knowledge graph capabilities that underpin all AI/ML and analytics work across TDS.

You will lead a team of 5+ individual contributors and partner with cross-functional teams across R&D, DDSAI, and J&J IT to deliver AI-ready, governed, and reusable data products for TDS.

• Partner to define and execute the TDS Data Product strategy aligned to TDS and DDSAI priorities; build a multi-year roadmap for data products and ontology that enable AI/ML and GenAI priorities for TDS
• Define and deliver high-quality, AI-ready data products that serve TDS lighthouse projects and foundational analytics needs.
• Lead the design, build, and optimization of scalable data product pipelines and platforms that integrate TDS data from diverse sources (ELNs, MES, LIMS, SAP, quality systems, clinical supply).
• Deploy data quality standards, lineage tracking, and governance practices aligned with enterprise and GxP requirements.
• Quality Safety & Compliance:
  Ensure data integrity, data model validation, computerized system compliance, and transparent data model interpretability in regulated environments

• Co-deliver the TDS-specific semantic layer strategy: ontologies, reference data, controlled vocabularies, knowledge graph development, and integration with enterprise canonical models.
• Partner with DDSAI's Data Strategy & Products team to ensure alignment with R&D-wide data architecture and ontology governance.
• Support TDS data scientists with scalable platforms to develop, maintain, and scale TDS ontologies, KGs and reference data

• Recruit, develop, and lead a team of data product engineers, ontology developers, and data scientists.
• Establish and maintain dotted-line operating model with DDSAI's Data Strategy & Products leadership team

• Advanced degree in Computer Science, Data Science, Engineering, or a related quantitative field.
• 10+ years of experience in data engineering, data architecture, or data science platform development, with at least 3 years in a people leadership role.
• Deep expertise in modern data stack technologies: cloud-based architectures (AWS, Snowflake), Python, SQL, graph databases, and semantic technologies, including knowledge graphs
• Demonstrated experience building and scaling data teams that deliver enterprise-grade data products.
• Strong…