Lead Product Analyst – AI, Data & Analytics

Johnson & Johnson

Lead Analyst responsible for AI and Data & Analytics solutions supporting Innovative Medicine Supply Chain. Delivering data-driven decision-making through analytics, artificial intelligence, and technology.

Posted 6/26/2026full-timeTitusville • New Jersey • 🇺🇸 United StatesSenior💰 $94,000 - $151,800 per yearWebsite

Tech Stack

Tools & technologies

CloudCyber Security

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

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.
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.

Benefits

Comp & perks

medical
dental
vision
life insurance
short- and long-term disability
business accident insurance
group legal insurance
consolidated retirement plan (pension)
savings plan (401(k))
Vacation –120 hours per calendar year
Sick time - 40 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
Condolence Leave – 30 days for an immediate family member: 5 days for an extended family member
Caregiver Leave – 10 days
Volunteer Leave – 4 days
Military Spouse Time-Off – 80 hours

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

AI solutionsdata analyticsproduct ownershipAgile methodologiesdata platformsanalytics architecturesAI/ML lifecyclesdata governancedata qualitydata integrity

Soft Skills

communication skillsinfluencing stakeholderscollaborationstrategic thinkingprioritizationrisk managementproblem-solvingleadershiporganizational skillstranslating business needs

Certifications

Bachelor’s degree in Computer ScienceBachelor’s degree in EngineeringBachelor’s degree in Data Science