Senior Manager, Decision Scientist - Global Development

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 jnj.com.

As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.

Global Development needs more than trusted data. Teams need reusable intelligence that connects data to decisions, makes assumptions and trade-offs visible, and can be consumed by both people and AI-enabled solutions.

The Senior Manager, Decision Scientist will define and operationalize analytical enrichment, decision context and business logic within Global Development data products. The role will not develop AI/ML models. Instead, it will translate business needs into reusable intelligence requirements, work with AI & Data Science when models are needed, and partner with JJT (IT) to bring approved intelligence capabilities into secure, scalable production use.

• Work directly with Global Development leaders and subject-matter experts to clarify the decision, its context, users, timing and desired outcome.
• Translate business questions into reusable intelligence requirements, metrics, decision rules, assumptions, constraints and acceptance criteria.
• Identify where trusted metrics can answer the question and where model-based capabilities from AI & Data Science are needed.

• Define reusable descriptive, predictive and prescriptive intelligence capabilities for inclusion in GD data products.

• Specify how validated analytical or model outputs should be integrated, governed, explained and consumed.

• Define quality thresholds, decision fitness and monitoring requirements for intelligence capabilities.

• Turn recurring requests into reusable data-product capabilities.

• Map decision processes, dependencies, assumptions, constraints and trade-offs with business experts.
• Partner with Data Products to represent and govern decision knowledge consistently.
• Create reusable frameworks that support cross-study learning and transparent decisions.

• Define the business context, decision logic, test scenarios and human-review requirements for AI assistants and agents.
• Partner with AI & Data Science on methods and JJT (IT) on production implementation.

• Engage JJT (IT) early to align reuse, architecture, security and operational requirements.
• Provide intelligence specifications, business rules, quality standards, test cases and acceptance criteria.
• Support build, testing and release, while JJT (IT) leads production engineering, deployment and operations.
• Evaluate decision fitness in production and recommend improvements.

• Define and track reuse, adoption, decision quality and business impact.
• Partner with Program & Product Management and the GD business to drive adoption and prioritisation.
• Maintain reusable specifications and frameworks, and communicate them clearly to technical and non-technical audiences.

• Bachelor’s or Master’s degree in a relevant data, technology or life-sciences discipline; PhD welcome.
• 6+ years’ relevant experience in pharmaceutical or biotechnology R&D, clinical development, analytics, decision science or data products.
• Experience translating business questions into metrics, analytical requirements and decision-support capabilities in cross-functional, regulated environments.

• Knowledge of Global Development processes and decisions across study planning and execution.
• Strong analytical reasoning and ability to distinguish business logic and decision frameworks from model development.
• Working knowledge of AI/ML outputs and GenAI or agentic use cases.
• Familiarity with data products, semantics, knowledge graphs, ontologies, provenance or AI-ready data is preferred.
• Strong cross-functional partnership, stakeholder management, facilitation and communication skills.

By turning recurring Global Development questions into reusable intelligence, this role will improve decision consistency and transparency, reduce duplication and extend the value of AI-ready data products.

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