Director, Data Intelligence - Global Development

About the role

J&J Innovative Medicine R&D DDSAI is recruiting a Director, Data Intelligence - Global Development, based in Madrid or Hyderabad. The role leads a new capability that turns trusted, AI-ready data products into reusable intelligence for human and AI-assisted decision-making, covering analytical enrichment, decision intelligence and agent enablement across Global Development. It reports to a team of Decision Scientists and partners with Data Strategy, Data Products, AI & Data Science, Program & Product Management and JJT (IT).

Key responsibilities

• Define and evolve the Global Development Data Intelligence strategy and roadmap, aligned with the data strategy, data product roadmap and enterprise AI direction.
• Lead, coach and develop a team of Decision Scientists, and identify recurring intelligence needs and turn them into reusable capabilities.
• Lead reusable analytical enrichment: descriptive, predictive and prescriptive intelligence embedded in data products, translated into decision criteria, quality expectations and acceptance tests.
• Establish approaches to capture and operationalize decision context, knowledge and rationale, and create decision frameworks that are consistent, transparent and explainable.
• Define the business context and decision logic for AI assistants and agents, partnering with AI & Data Science and the Head of GenAI on standards and governance.
• Partner with JJT (IT) from the start: provide business logic, intelligence specifications and acceptance criteria, then jointly monitor production quality and performance.
• Work with Program & Product Management, Data Strategy and Data Products, and communicate the vision, progress, risks and outcomes to senior stakeholders.

Required profile

• Master's degree or PhD in data science, statistics, operations research, biomedical informatics, computer science, life sciences or a related discipline, or equivalent experience.
• 8+ years of relevant experience in pharmaceutical or biotechnology R&D, clinical development, advanced analytics, data products, decision science or a related field.
• Demonstrated experience leading multidisciplinary teams and influencing across business, data science and technology organizations.
• Track record of turning complex business questions into reusable analytical or decision-support capabilities in a regulated environment.

Required skills

• Strong knowledge of Global Development processes (study planning, site selection, enrollment, monitoring and execution).
• Deep understanding of decision science, analytical productization, metrics, business rules and value measurement.
• Working knowledge of AI/ML lifecycles and GenAI or agentic patterns, able to define requirements without duplicating model development.
• Familiarity with data products, semantic and knowledge layers, ontologies, provenance and AI-ready data concepts.
• Strong partnership, communication, strategic thinking, people leadership and change-leadership skills.