Director - R&D DDSAI - Therapeutics Development & Supply (TDS)
About The Position
At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, 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. Learn more at jnj.com As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit. 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.
Requirements
- 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 cross-functional leadership skills with the ability to influence and align across technical and business stakeholders at the Senior Director and VP level.
Nice To Haves
- Experience in pharmaceutical R&D, life sciences manufacturing, or regulated (GxP) environments.
- Familiarity with ontology engineering (OWL, RDF, SKOS), knowledge graphs, and FAIR data principles.
- Experience with MLOps platforms and practices (model registries, feature stores, automated retraining pipelines).
- Track record of partnering with IT and data platform organizations to co-own technical architecture decisions.
Responsibilities
- 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
Benefits
- Vacation –120 hours per calendar year
- Sick time - 40 hours per calendar year; for employees who reside in the State of Colorado –48 hours per calendar year; for employees who reside in the State of Washington –56 hours per calendar year
- Holiday pay, including Floating Holidays –13 days per calendar year
- Work, Personal and Family Time - up to 40 hours per calendar year
- Parental Leave – 480 hours within one year of the birth/adoption/foster care of a child
- Bereavement Leave – 240 hours for an immediate family member: 40 hours for an extended family member per calendar year
- Caregiver Leave – 80 hours in a 52-week rolling period10 days
- Volunteer Leave – 32 hours per calendar year
- Military Spouse Time-Off – 80 hours per calendar year
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What This Job Offers
Job Type
Full-time
Career Level
Director
