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Job Function:

Data Analytics & Computational Sciences:

Job Sub Function:

Data Science Portfolio Management:

Job Category:

Professional

All Job Posting Locations:

Barcelona, Spain, Madrid, Spain

Job Description:

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

This position has a primary location Barcelona or secondary Madrid. This position requires up to 10% travel.

About Innovative Medicine

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 https://www.jnj.com/innovative-medicine

Position Summary

The Data Strategy Neuroscience Manager will contribute to the design and execution of a comprehensive, neuroscience focused data strategy program designed to accelerate research, R&D insights, and evidence generation. Combining strategic planning with hands on execution, this individual will work closely with the Neuroscience organization to understand the “what” and the “why,” while spending most of the time driving the “how” — identifying data assets, coordinating the building of data products, evaluating data availability and applicability while operationalizing capabilities across the neuroscience lifecycle. This individual will act as a trusted partner to the Neuroscience Data Science Digital Health team and the Neuroscience therapeutic area, ensuring data fit and availability for the scaling of research.

Key Responsibilities

Strategy & Roadmap:

• Translate R&D Innovative Medicine Neuroscience priorities into an actionable multi-year data roadmap.

• Prioritize data initiatives based on clinical impact, regulatory readiness, speed to insight, and ROI.

• Define success metrics and maintain data roadmap with R&D DSDH Neuroscience organization.

Execution & Delivery:

• Lead end to end data-centric discussions across all neuroscience programs (e.g., RWE studies, registries, biobanks, data platform builds, analytic model deployment).

• Partner with sub-teams, driving data ingestion, curation, transformation and linkage across EHR, claims, genomic, imaging, and registry sources leading to the creation of data products.

• Orchestrate vendor and external data partner relationships; Managing scopes, service level agreements (SLA) and expectations.

Leadership

• Present insights and recommendations to senior leadership; facilitate decision fueled by data-driven insights.

Qualifications

Education:

• University / bachelor’s degree or equivalent

Skills & Expertise:

• 8 – 10+ years of experience in pharma/biotech R&D or commercial functions, with significant exposure to procurement and/or data strategy. 6+ years of experience with advanced degree.

• Experience should include direct responsibility for and/or collaborations with Neuroscience.

• Deep understanding of neuroscience clinical care, endpoints, staging, biomarker / genomic data, and the regulatory landscape for RWE in neuroscience.

• Experience designing observational studies, cohort design, causal inference methods, survival analysis and communicating limitations is a plus.

• Track record negotiating and managing commercial data providers and research vendors.

• Strong ability to translate complex technical work into business recommendations for cross functional and senior stakeholders.-functional and senior stakeholders.

• Proven ability to lead small multidisciplinary teams and influence without direct authority.

• Pragmatic problem solving — focus on delivering usable outcomes quickly and iterating.

• Strategic thinker who can connect tactical work to long‑term business goals.

• High standards for data quality, reproducibility, and documentation.

• Collaboration and stakeholder management across clinical, regulatory, and commercial functions.

• Comfort working in ambiguity and shaping new capabilities at scale.

Required Skills:

Preferred Skills:

Advanced Analytics, Consulting, Data Privacy Standards, Data Science, Data Structures, Digital Fluency, Digital Strategy, End to End Implementation, Global Market, Negotiation, Process Improvements, Product Portfolio Management, Technical Credibility