Associate Director, Product Management

• Job title Associate Director, Product Management
• Function Data Analytics & Computational Sciences
• Sub function Data Science
• Category Senior Manager, Data Science (PL8)
• Location Madrid / Cornellà De Llobregat / Warsaw / Spain / Poland
• Date posted Jun 02 2026
• Requisition number R-079275
• Work pattern Hybrid Work

Description

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.

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Job Description:

Associate Director, Product Management
Data, Data Science, and AI

FOCUS:

Generative AI Product Development, Regulatory Strategy, Decision Support, Productivity Tools, Operational Insights, and Domain-Specific Reasoning Systems.

Locations considered are Madrid, Barcelona and Warsaw. A hybrid role.

About the Role

We are seeking an Associate Director, Product Management to help drive the development, delivery, and lifecycle management of AI-enabled products across the Data Science & Digital Health organization. This role supports a portfolio of generative AI use cases across R&D, with focus on regulatory-related workflows where genAI can improve decision quality, efficiency, and consistency.

This position sits at the intersection of data science, regulatory operations, digital product strategy, and user-centered workflow design. The ideal candidate combines strong product management fundamentals with the ability to collaborate deeply with data scientists, engineers, and global functional partners to deliver high-impact AI solutions, including—but not limited to—regulatory strategy, document authoring and review, and decision support.

Key Responsibilities

Product Strategy & Roadmapping

· Manage products for AI-driven tools supporting regulatory and other R&D workflows, including regulatory strategy and innovation, productivity, document workflows, decision support, and automation.

· Develop and maintain product roadmaps aligned with business objectives and evolving AI capabilities.

· Collaborate with business and technology teams to define product strategy, vision, and execution with a cross-functional product team, translating human-centered workflows into clear requirements, wireframes, and user stories.

· Support prioritization across competing initiatives, balancing impact and feasibility.

· Identify opportunities where generative AI can streamline document creation, review, and knowledge access.

Stakeholder Management & Cross-Functional Collaboration

· Partner closely with regulatory teams to develop solutions fit-for-purpose and integrated into key workflows

· Engage partners across R&D to understand and incorporate opportunities for synergy

· Collaborate with data scientists, ML engineers, platform teams, UX, and business partners in a matrixed environment.

· Support alignment among technical and business teams.

· Provide product updates and insights to leadership across Data Science and Digital Health.

Product Development & Delivery

· Support end-to-end product lifecycle from concept to launch and iteration.

· Define user stories, acceptance criteria, and success metrics.

· Manage backlogs and coordinate sprints with technical and design teams.

· Ensure products meet quality, usability, security, and compliance expectations.

· Partner with engineering teams on model integration, data prep, and evaluation cycles.

AI Technology Enablement

· Apply knowledge of generative AI, RAG, agentic systems, and prompt engineering to shape product capabilities.

· Collaborate with data and platform teams to leverage AI-ready datasets and vector retrieval pipelines.

· Support change management and adoption of AI-enabled tools through onboarding and feedback loops.

Required Qualifications

· Advanced degree (MS/PhD) or equivalent experience in Life Sciences, Data Science, Computer Science, AI, or related field.

· 6–8+ years of product management or digital product development experience.

· 2–3+ years collaborating with data science/ML or analytics-driven teams.

· Experience contributing to AI/ML or generative AI product development.

Technical Skills

· Familiarity with generative AI concepts (RAG, knowledge graphs, agent systems, evaluation frameworks).

· Ability to translate workflows and data dependencies into product requirements.

· Experience with agile methodologies, UX principles, and product analytics.

Preferred Qualifications

· Experience in regulatory, R&D operations, or scientific workflow environments.

· Experience with developing generative AI tools in life science

· Exposure to data platforms, cloud architectures, and integrating AI services.

· Comfort working with complex datasets and metadata schemas.

Technical Acumen

· Understands AI/ML fundamentals and collaborates effectively with technical teams.

· Bridges business needs with technical capabilities.

· Breaks down workflows into modular product features.

Strategic Thinking

· Balances delivery with long-term product vision.

· Identifies opportunities to improve workflows using AI.

· Synthesizes user input, technical constraints, and enterprise priorities.

Communication & Influence

· Strong communicator across technical and non-technical audiences.

· Influences within matrixed environments.

· Presents product progress and insights effectively.

Problem-Solving & Analytics

· Uses data to inform decisions and measure product success.

· Strong critical thinking and ability to derive insights from complex info.

· Experience with experimentation or evaluation frameworks preferred.

What We Offer – Joining the DSDH Team

· Opportunity to build AI products that improve productivity and decision-making across R&D.

· Collaborative environment with world-class data scientists, clinicians, engineers, and digital health leaders.

· Exposure to cutting-edge AI technologies and enterprise-scale transformation.

· Competitive compensation and professional development opportunities.

Location & Travel

Occasional travel (up to 25%) for cross-functional workshops, design sessions, and team meetings.

Required Skills:

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The anticipated base pay range for this position is:

Benefits:

In addition to base pay, we offer the following benefits*: an annual bonus with set target (% of pay) depending on pay grade / location, where the actual amount is based on the employees’ and companies’ performance of the previous calendar year, or sales commissions. Moreover, we offer vacation days, parental leave for a minimum of 12 weeks, bereavement leave, caregiver leave, volunteer leave, well-being reimbursement, programs for financial, physical and mental health. We also offer service anniversary and recognition awards, and subject to the terms of their respective plans, employees - and in some location’s eligible dependents - can participate in several insurance plans. For more information, visit Employee benefits | Supporting well-being & career growth | Johnson & Johnson Careers.

*This is for informative purposes only. Amounts and actual benefits may vary by location and are subject to change.