Senior Manager

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

Job Function:

Data Analytics & Computational Sciences

Job Sub Function:

Data Science

Job Category:

Scientific/Technology

All Job Posting Locations:

Cornellà de Llobregat, Barcelona, Spain

Job Description:

Johnson and Johnson Innovative Medicine (J&J IM), a pharmaceutical company of Johnson & Johnson is recruiting for a Senior Manager, R&D Data Science Digital Health, Data Quality

This position has a primary location of Barcelona, Spain. This position requires up to 25% travel.

Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow.

Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way.

Learn more at

The Senior Manager R&D Data Quality will play a critical role in ensuring the accuracy, completeness, and plausibility of data assets leveraged by the R&D Data Science Digital Health organization. Collaborating across Innovative Medicine (inclusive of R&D, Commercial, Supply Chain and Manufacturing), this individual will define quality guidelines for the R&D DSDH organization and ensure pull through of enterprise-wide data quality strategies, standards, and processes. This role bridges business, scientific, and our technology teams—ensuring that all data used for research, regulatory submissions, and analytics meet the highest quality and compliance standards.

Data Quality Strategy & Governance

• Develop and maintain a data quality management framework aligned with GxP, FAIR, and enterprise principles.
• Define data quality dimensions (accuracy, completeness, consistency, timeliness, validity, integrity, and lineage) and establish measurable KPIs.
• Partner with Data Governance, Knowledge Management Global Development, Regulatory and Master Data Management (MDM) teams to ensure traceability and alignment of data quality standards across domains.
• Contribute to data stewardship, defining ownership and escalation procedures for quality issues.

Quality Measurement, Education & Remediation

• Lead data validation activities across multiple data types — including clinical, real world, omics, manufacturing, and digital health data.
• Identify and enable the use of tools, driving data quality automation and monitoring.
• Design dashboards and reports to convey key metrics and communicate insights to scientists and leadership.
• Lead root cause analyses for data issues and oversee the development of remediation plans.

Cross-Functional Collaboration

• Collaborate with AI/ML, Global Functions, Real World Evidence, Clinical Data Management, Global Regulatory, J&J Technology, Epidemiology, and the Commercial organization to understand current quality controls and assess the value / need for subsequent controls.
• Act as the liaison between R&D DSDH and J&J Technology, translating quality requirements into technical rules and data validation workflows.

Compliance & Risk Management

• Ensure data quality processes align (where applicable) to regulatory and industry standards, including FDA 21 CFR Part 11, GCP, GDPR, HIPAA, and ALCOA+ principles.
• Support audit readiness by maintaining robust documentation and evidence of data quality processes.

Continuous Improvement & Innovation

• Drive adoption of AI-assisted data quality tools and metadata-driven automation to reduce overhead.
• Stay current on emerging data quality trends in the pharmaceutical and healthcare space.
• Mentor junior quality analysts.

• University / bachelor's degree or equivalent
• 8 – 12+ years of experience in pharma/biotech R&D or commercial functions, with significant exposure to data management or 6+ years of experience in pharma/biotech R&D or commercial functions with advanced degree.
• Experience in master data management, ontology development, and/or knowledge graph application.
• Understanding controlled vocabularies (e.g., SNOMED CT, MedDRA, LOINC).
• Experience in data profiling and validation, including the use of tools and writing in SQL, Python and/or R.
• Experience integrating data across discovery, development, clinical, regulatory, and/or commercial domains.
• Strong understanding of data standardization and harmonization.
• Experience working with / in validated environments
• Knowledge of FDA and EMA guidelines, especially around GxP, ALCOA+ data integrity principles, and 21 CFR Part 11 compliance.
• Awareness of CDISC, SDTM, ADaM, HDF5 and H5mu standards
• Strong leadership, communication, and cross-functional collaboration skills.
• Strong writing skills for creating / drafting of quality reports, SOPs and general guidelines.

Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.

Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants' needs. If you are an individual with a disability and would like to request an accommodation, external applicants please contact us via , internal employees contact AskGS to be directed to your accommodation resource.

#JRDDS #JNJDataScience

Required Skills:

Preferred Skills:

Advanced Analytics, Consulting, Critical Thinking, Data Analysis, Data Privacy Standards, Data Quality, Data Reporting, Data Savvy, Data Science, Data Visualization, Digital Fluency, Econometric Models, Mentorship, Strategic Thinking, Tactical Planning, Technical Credibility