Director, Product Mgmt, Data Science
Company: 6084-Janssen Research & Development Legal Enti
Location: Brunswick
Posted on: April 3, 2026
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Job 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. 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 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 Occasional travel (15-20%) for cross-functional
face-to-face work sessions, site visits and industry conferences
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 The anticipated
base pay range for this position is : $164,000.00 - $282,900.00
Additional Description for Pay Transparency: Please provide the
benefits applicable. Required for US Positions. Please copy and
paste the applicable benefits into the empty text box below, based
on the type of role. [DELETE ANY BENEFITS NOT APPLICABLE TO THE
POSITION] Please use the following language: Subject to the terms
of their respective plans, employees are eligible to participate in
the Company’s consolidated retirement plan (pension) and savings
plan (401(k)). This position is eligible to participate in the
Company’s long-term incentive program. Subject to the terms of
their respective policies and date of hire, employees are eligible
for the following time off benefits: Vacation –120 hours per
calendar year Sick time - 40 hours per calendar year; for employees
who reside in the State of Colorado –48 hours per calendar year;
for employees who reside in the State of Washington –56 hours per
calendar year Holiday pay, including Floating Holidays –13 days per
calendar year Work, Personal and Family Time - up to 40 hours per
calendar year Parental Leave – 480 hours within one year of the
birth/adoption/foster care of a child Bereavement Leave – 240 hours
for an immediate family member: 40 hours for an extended family
member per calendar year Caregiver Leave – 80 hours in a 52-week
rolling period10 days Volunteer Leave – 32 hours per calendar year
Military Spouse Time-Off – 80 hours per calendar year
Keywords: 6084-Janssen Research & Development Legal Enti, Dearborn , Director, Product Mgmt, Data Science, IT / Software / Systems , Brunswick, Michigan
