Director, Product Mgmt, Data Science

Johnson & Johnson • New Brunswick, NJ

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About The Position

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: New Brunswick, New Jersey, United States of America 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.

Requirements

• 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

Nice To Haves

• 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

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

Benefits

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Director