Director, Product Mgmt, Data Science

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.

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 fr