Lead Product Analyst- AI and Data & Analytics

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:

Business Intelligence

Job Category:

Professional

All Job Posting Locations:

Raritan, New Jersey, United States of America, Titusville, New Jersey, United States of America

Job Description:

Johnson & Johnson Innovative Medicine Technology Supply Chain is recruiting for a Lead Analyst/Technical Product Owner in the AI and Data & Analytics (AIDA) team.

In this role you will be operating as a senior individual contributor responsible for the end-to-end ownership of AI, Data & Analytics products supporting the Innovative Medicine Supply Chain, with primary scope across the MAKE and DELIVER functions.

This role operates at the intersection of business strategy, advanced analytics, artificial intelligence, and technology delivery, enabling data-driven decision making across manufacturing, logistics, warehousing, and distribution.

The role partners closely with Supply Chain business leaders, Data Science, Engineering, Architecture, Quality, and Security teams to shape product strategy and lead delivery in a regulated (GxP) environment.

Major Duties and Responsibilities

• Own the product vision, strategy, and roadmap for AI and Data & Analytics solutions supporting MAKE and DELIVER Supply Chain processes.
• Translate manufacturing and distribution business needs into epics, features, and user stories with clear acceptance criteria.
• Maintain and prioritize a value-driven backlog balancing innovation, compliance, risk, and technical debt.
• Partner with Architecture, Engineering, and Data Science teams to deliver scalable, secure, and platform-aligned analytics and AI solutions.
• Enable advanced analytics and AI use cases across production, logistics, and distribution operations.
• Ensure compliance with GxP, data integrity, privacy, and cybersecurity requirements.
• Collaborate with Technical Quality (TQ), Software Quality Assurance (SQA), and Security on risk-based validation approaches.
• Define and track KPIs, OKRs, and value realization metrics tied to MAKE and DELIVER outcomes.
• Represent the product area in governance, planning, and investment forums.

Required Qualifications

• Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field.
• 5+ years of experience in analytics, product ownership, or technology leadership roles.
• Proven experience delivering enterprise-scale AI, data, or analytics solutions.
• Experience supporting manufacturing, supply chain, or operations-focused analytics.
• Experience operating in regulated (GxP) environments.
• Experience working in Agile or product-centric delivery models.

Required Knowledge, Skills and Abilities

• Advanced knowledge of data platforms, analytics architectures, and AI/ML lifecycles.
• Ability to translate complex manufacturing and distribution business needs into actionable analytical and product outcomes.
• Strong understanding of cloud-native architectures and modern BI/analytics tools.
• Knowledge of data governance, data quality, and data integrity principles.
• Excellent communication skills with the ability to influence senior stakeholders.

Leadership Skills & Behaviors

• Demonstrates enterprise thinking and long-term strategic perspective.