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 https://www.jnj.com
Job Function:
Data Analytics & Computational Sciences
Job Sub Function:
Data Science
Job Category:
People Leader
All Job Posting Locations:
Cornellà de Llobregat, Barcelona, Spain, Madrid, Spain, Warsaw, Masovian, Poland
Job Description:
We are seeking a dynamic Product Manager to join our highly matrixed data science organization, where you'll drive the development and management of data science and artificial intelligence (AI) solutions to support global regulatory activities. This role sits at the intersection of data science, regulatory affairs, and product strategy, requiring someone who can navigate complex stakeholder relationships while delivering technology solutions that accelerate drug development. This position requires an individual who can translate global regulatory workflows into technical product roadmaps and requirements and can empower cross-functional teams to deliver technologies that anticipate and address regulatory challenges across the globe.
Key Responsibilities:
Product Strategy & Roadmap
Define, drive development and execute implementation for product strategy for complex AI-driven regulatory tools that accelerate submissions, optimize document lifecycle management, and ensure regulatory compliance
Develop and maintain detailed product roadmaps that align with global regulatory business objectives, data science goals, and emerging AI technologies
Collaborate with data science teams to translate human-centered workflows and decision-making processes into technical product requirements to support and enhance performance, including building multi-agent systems to assist with complex, regulated processes
Drive prioritization decisions across competing initiatives and resource constraints for technology-enablement
Identify and evaluate opportunities where generative AI can transform document generation, QC, review processes, and virtual regulatory interactions
Stakeholder Management & Cross-Functional Leadership
Collaborate closely with cross-functional teams to understand their needs and develop product strategies to support multiple use cases
Support regulatory teams on their digital transformation journey with generative AI enabled technologies
Work closely with data scientists, AI engineers, regulatory experts, advanced modeling and data teams, and design-thinking teams in an agile, matrixed environment
Distinguish critical priorities from distractions in complex product development environments, consistently driving the team toward measurable progress on key business outcomes
Facilitate alignment between business stakeholders and technical teams on product vision and delivery
Present product updates and strategic recommendations to senior Data Science, Global Regulatory Affairs and other R&D leadership, ensuring multi-level alignment
Product Development & Delivery
In conjunction with other Product Development team members:
Lead agile delivery product teams, with end-to-end product lifecycle from concept through launch and iteration
Define user stories, acceptance criteria, and success metrics for regulatory workflow tools
Coordinate with other data science teams to enable the technical execution, deployment, and life cycle maintenance for AI tools to support regulatory workflows
Coordinate cross-functional sprints and manage product backlogs
Ensure products meet data integrity, regulatory compliance, and validation requirements
Regulatory Technology Enablement
Understand and leverage emerging generative AI technologies to support submission acceleration and regulatory strategy
Design and implement AI-enabled frameworks that streamline regulatory document workflows and health authority query response generation
Work together with the regulatory data hub to create and utilize AI-ready data packages for downstream tools and applications
Champion the adoption of new technologies among global regulatory teams, providing training and change management support to drive productivity and regulatory excellence
Required Qualifications:
Education: Advanced degree (MS/PhD) or equivalent practical experience in Life Sciences, Regulatory Affairs, Data Science, or related field
Experience: 10+ years in product management activities, with 3-5+ years of experience leading teams, with 5+ years of hands-on product management experience, and with 3+ years in pharmaceutical/biotech clinical development environment
Regulatory expertise: Strong understanding of global regulatory submission processes (e.g., FDA, EMA, PMDA) and compliance requirements
Technical Skills: Experience with developing or deploying generative AI tools and skills, including prompt engineering, RAG development, knowledge graphs, agent-based approaches, in the context of document generation and domain-specific reasoning
Product Management: Proven track record using agile methodologies, product analytics, and user-centered design principles. Ability to translate complex regulatory requirements into actionable technical specifications
Preferred Qualifications:
Cross-functional Product Design: Experience in leading development of complex, multi-agent genAI-based tools, with familiarity on the full genAI tech stack
Regulatory Technology & Digital Transformation Experience: 3+ years experience with regulatory data management systems, e-submission platforms, and document interchange standards
Generative AI Background in Pharma: Familiarity with generative AI platforms and their application in regulatory settings, including natural language processing (NLP) and automated quality control tools
Experience with cloud platforms and clinical data lakes/warehouses
Key Competencies
Technical Acumen
Possesses a deep understanding of generative AI technologies and actively engages with technical teams to provide actionable feedback throughout the product development lifecycle.
Bridges the gap between business needs and technical execution, ensuring that product features and enhancements are both innovative and practical
Translate complex clinical and regulatory requirements into technical specifications
Understand data science methodologies and their applications to clinical decision-making
Navigate pharmaceutical technology landscape and emerging digital health solutions
Strategic Thinking
Balance short-term delivery needs with long-term R&D strategic objectives
Identify opportunities for workflow optimization and competitive advantage
Assess market trends and incorporate innovative approaches into product strategy
Communication & Influence
Excellent written and verbal communication skills for diverse audiences from lab scientists to C-suite executives
Ability to influence without authority in highly matrixed organizations
Strong presentation skills for regulatory submissions and board-level updates
Problem-Solving & Analytics
Data-driven decision making with strong analytical and critical thinking skills
Ability to synthesize complex clinical and operational data into actionable insights
Experience with A/B testing and product experimentation in regulated environments
What We Offer – JOINING THE R&D - DSDH TEAM
Opportunity to directly impact patient outcomes through innovative clinical trial technologies
Collaborative environment with world-class data scientists and clinical experts
Exposure to cutting-edge pharmaceutical R&D processes and regulatory landscapes
Competitive compensation package with equity participation
Professional development opportunities and conference attendance
Location and Travel
Required Skills:
Preferred Skills:
Advanced Analytics, Budget Management, Compliance Management, Critical Thinking, Data Analysis, Data Privacy Standards, Data Quality, Data Reporting, Data Savvy, Data Science, Data Visualization, Developing Others, Digital Fluency, Inclusive Leadership, Leadership, Program Management, Strategic Thinking, Succession Planning
