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

Manager, MVQ Product – GTM Enablement

Key skills

About this role