Manager, R&D DSDH Data Products – Therapeutic Area (TA)

Johnson & Johnson is a leader in healthcare innovation, dedicated to developing smarter treatments for complex diseases. The Manager, Data Products – Therapeutic Area (TA) is responsible for designing and delivering user-centric data products that support analytics and data science initiatives across the Therapeutic Area.

Responsibilities:

• Own the end‑to‑end delivery of assigned TA data products, from requirements definition through build, validation, and release
• Translate scientific, clinical, and analytics use cases into clear functional data product requirements
• Support execution of the TA data product roadmap, aligned with enterprise data strategy and priorities
• Apply agile delivery practices and FAIR data principles to ensure data products are reusable, scalable, and interoperable
• Deliver integration of internal and external data sources, including clinical trial data, omics, imaging, registries, and RWD/RWE datasets
• Contribute to data modeling, metadata capture, and semantic alignment for TA data products
• Apply existing TA ontologies and enterprise metadata standards to ensure consistency across data products
• Support alignment with industry data standards and frameworks (e.g., CDISC, GA4GH, FHIR, NCI Thesaurus) under guidance from senior leaders
• Partner with TA Data Science teams, researchers, and clinical stakeholders to ensure data products meet analytics and scientific needs
• Work closely with Data Engineering, Platform, Governance, and Architecture teams to deliver compliant, high‑quality data products
• Support regulatory and compliance discussions by ensuring appropriate documentation, data lineage, and quality controls are in place
• Support implementation of data product governance practices, including quality checks, metadata completeness, and lifecycle management
• Monitor data quality, usage, and basic value metrics for assigned data products
• Contribute to continuous improvement of data product delivery processes and standards across the TA
• Actively support adoption and reuse of TA data products by Data Science and scientific teams
• Communicate data product capabilities, limitations, and updates to users and stakeholders
• Promote data literacy and best practices within the TA community

Requirements:

• Bachelor's or Master's degree in Data Science, Informatics, Computer Science, Life Sciences, or a related discipline
• 4–7+ years of experience in pharma/biotech R&D, data engineering, data science enablement, or analytics platforms
• Hands‑on experience delivering data products, data pipelines, or curated datasets within a scientific or clinical domain
• Exposure to multi‑modal data, such as clinical trial data, omics, imaging, translational research, or RWD/RWE
• Solid understanding of data modeling, data transformation, and data integration concepts
• Familiarity with metadata management and data standards (e.g., CDISC, OMOP, FHIR) is a plus
• Working knowledge of data governance, quality, lineage, and compliance concepts in regulated environments
• Strong collaboration and communication skills, with the ability to work effectively across scientific, technical, and business teams
• Demonstrated ability to execute reliably, manage competing priorities, and deliver value in a matrixed organization
• Advanced Analytics
• Coaching
• Critical Thinking
• Data Analysis
• Data Privacy Standards
• Data Quality
• Data Reporting
• Data Savvy
• Data Science
• Data Visualization
• Digital Fluency
• Econometric Models
• Organizing
• Process Improvements
• Strategic Thinking
• Technical Credibility
• Workflow Analysis