VP, Data – Digital Quality

Johnson & Johnson

VP, Data & Digital Quality overseeing digital and data strategy at Johnson & Johnson. Accountable for transforming compliance into predictive, intelligence-driven Quality.

Posted 5/22/2026full-timeHorsham • New Jersey, Pennsylvania • 🇺🇸 United StatesLead💰 $199,000 - $366,850 per yearWebsite

Tech Stack

Tools & technologies

Cloud

About the role

Key responsibilities & impact

Architecting and executing the digital and data strategy that will reimagine Quality through advanced analytics, AI/ML, agentic orchestration, and next‑generation risk sensing capabilities.
Accelerating the transformation from reactive compliance to predictive, intelligence‑driven Quality.
Leveraging enterprise data, automation, and digital products to improve risk visibility, strengthen decision‑making, and enhance patient safety.
Shaping the long‑term digital quality vision, driving the global roadmap, and ensuring high‑quality delivery of platforms, predictive models, emerging technologies, and compliance systems across all regions and segments.
Supporting the Q&C digital talent development strategy.
Leading the strategic shift toward predictive digital quality, ensuring digital product roadmaps incorporate AI/ML, advanced analytics, data quality and adaptive risk models that proactively identify issues before they impact patients or compliance.
Building and scaling an enterprise quality data architecture (structured and unstructured) that enables near‑real‑time data ingestion, harmonization, AI-ready data quality, and modeling to support rapid detection of trends, improves predictive and preventive capabilities, and accelerates Quality decision‑making.

Requirements

What you’ll need

15+ years leading digital products and enterprise data/analytics in regulated industries.
8-10 Years of People Management Experience
Proven track record delivering digital strategies and measurable business value.
Experience managing enterprise‑scale data platforms (QUALIFI/ThoughtSpot or equivalent).
AI/ML and risk‑sensing product delivery experience.
Strong governance, stakeholder engagement, and financial acumen.
Global people leadership with a track record of people development.
Deep expertise in predictive analytics, machine learning, and AI/ML model lifecycle management in regulated environments.
Experience building automated risk detection systems, predictive quality models, and advanced statistical monitoring tools.
Strong understanding of pharma/medical device technology data governance, AI regulatory expectations, validation standards for ML systems, and GxP‑compliant cloud technologies.
Proven ability to translate complex technical insights into business‑ready, risk‑focused decisions for senior leaders.

Benefits

Comp & perks

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
Eligible to participate in the Company’s long-term incentive program.
Consolidated retirement plan (pension) and savings plan (401(k))

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

AIMLpredictive analyticsdata architecturerisk detection systemsstatistical monitoring toolsdata qualitydata ingestiondata harmonizationmodel lifecycle management

Soft Skills

people managementstakeholder engagementfinancial acumenglobal leadershippeople developmentdecision-makingcommunicationstrategic thinkingproblem-solvingcollaboration