VP, Data & Digital Quality

Johnson & Johnson Innovative Medicine • Horsham, PA

5d • $199,000 - $366,850 • Hybrid

About The Position

The VP, Data & Digital Quality is accountable for 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. This leader accelerates 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. The role shapes the long‑term digital quality vision, drives the global roadmap, and ensures high‑quality delivery of platforms, predictive models, emerging technologies, and compliance systems across all regions and segments. and supports the Q&C digital talent development strategy. This leader partners with Regulatory, Technology, Business leaders and Quality colleagues to drive measurable improvements in quality outcomes and audit readiness by enabling the evolution of Quality practices to incorporate emerging technologies.

Requirements

• Bachelors Degree
• 15+ years leading digital products and enterprise data/analytics in regulated industries.
• 8-10 Years 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.

Nice To Haves

• 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.
• Demonstrated success modernizing Quality or Compliance functions through digital transformation, end‑to‑end data strategies, and AI‑enabled workflows.
• 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.

Responsibilities

• Own and continuously evolve the enterprise portion of the Q&C Digital Strategy & Data 5‑Year Roadmap, including integration into long-range financial planning, business planning and refresh cycles.
• Oversee and set high-level strategy for sector Digital Strategy & Roadmap.
• Lead 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.
• Drive the integration of advanced technologies including automated and agentic risk alerts into Quality operations.
• Build and scale an enterprise quality data architecture (structured and unstructured) that enables near‑real‑time data ingestion (where applicable), harmonization, AI-ready data quality, and modeling to support rapid detection of trends, improves predictive and preventive capabilities, and accelerates Quality decision‑making.
• Advance capabilities in risk dashboards, anomaly detection, and quality signal intelligence using tools such as QUALIFI, ThoughtSpot, and modern cloud analytics stacks.
• Build and operationalize an AI/ML strategy for Quality, including use cases in process monitoring, automated document intelligence, complaint/risk signal extraction, audit prediction, and failure mode analytics.
• Scale GenAI and Agentic AI enabled quality workflows (e.g., intelligent QMS search, automated CAPA summarization, QA review assistance) while maintaining regulatory rigor and responsible AI guardrails.
• Oversee development of early‑warning systems that detect, contextualize, and escalate quality risks using multivariate models and cross‑value‑chain data signals.
• Champion responsible AI practices, ensuring models meet requirements for validation, transparency, explainability, and audit readiness.
• Evolve practices across Enterprise Quality to incorporate AI/ ML model validation, continuous monitoring, and audit‑ready AI governance frameworks.
• Partners with Regulatory, Technology, and Legal to ensure digital innovation is aligned with emerging expectations for AI in regulated environments (FDA, EMA, global health authorities).
• Improve decision velocity by embedding AI‑enhanced insights into core quality operational processes, driving measurable improvements in cycle time, right‑first‑time, and risk reduction.
• Establish KPIs and OKRs that measure the value of digital products, data platforms, and predictive capabilities.
• Serve as the enterprise leader for digital quality governance, ensuring alignment of data standards, AI/ML guardrails, and risk‑sensing capabilities across segments and regions.
• Co‑lead cross‑functional working groups with Supply Chain, R&D, Manufacturing, and Technology to embed digital quality intelligence into end‑to‑end operations.
• Build a high‑performing team of data scientists, digital product directors and managers, ML engineers, digital products owners, digital product analysts quality technologists, and analytics translators.
• Foster a culture that embraces experimentation, iterative learning, and analytics-driven decision‑making, while maintaining the highest standards of patient safety and compliance.

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 period
• Volunteer Leave – 32 hours per calendar year
• Military Spouse Time-Off – 80 hours per calendar year

What This Job Offers

• Job Type: Full-time
• Career Level: Executive