VP, Data & Digital Quality

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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 nextgeneration risk sensing capabilities. This leader accelerates the transformation from reactive compliance to predictive intelligencedriven Quality leveraging enterprise data automation and digital products to improve risk visibility strengthen decisionmaking and enhance patient safety.

The role shapes the longterm digital quality vision drives the global roadmap and ensures highquality 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.

Major Duties & Responsibilities:

Digital Product Strategy & Portfolio Delivery

• Own and continuously evolve the enterprise portion of the Q&C Digital Strategy & Data 5Year 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 AIML 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.

Data Platforms Architecture & Visualization

• Build and scale an enterprise quality data architecture (structured and unstructured) that enables nearrealtime 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 decisionmaking.

• Advance capabilities in risk dashboards anomaly detection and quality signal intelligence using tools such as QUALIFI ThoughtSpot and modern cloud analytics stacks.

Drive Adoption of Emerging Technologies

Either at an enterprise level or through support at sector level:

• 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 earlywarning systems that detect contextualize and escalate quality risks using multivariate models and crossvaluechain 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 auditready 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).

Operational Excellence

Either at an enterprise level or through support at sector level:

• Improve decision velocity by embedding AIenhanced insights into core quality operational processes driving measurable improvements in cycle time rightfirsttime and risk reduction.

• Establish KPIs and OKRs that measure the value of digital products data platforms and predictive capabilities

Governance & Stakeholder Leadership

• Serve as the enterprise leader for digital quality governance ensuring alignment of data standards AI/ML guardrails and risksensing capabilities across segments and regions.

• Colead crossfunctional working groups with Supply Chain R&D Manufacturing and Technology to embed digital quality intelligence into endtoend operations.

People Leadership & Culture

• Build a highperforming 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 decisionmaking while maintaining the highest standards of patient safety and compliance

Other Duties

• 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 endtoend data strategies and AIenabled workflows.

• Strong understanding of pharma/medical device technology data governance AI regulatory expectations validation standards for ML systems and GxPcompliant cloud technologies.

• Proven ability to translate complex technical insights into businessready riskfocused decisions for senior leaders.

Required Minimum Education: Bachelors Degree

Required Years of Related Experience:

• 15 years leading digital products and enterprise data/analytics in regulated industries.

Required Years of People Management Experience: 8-10 Years

Knowledge Skills and Abilities:

• Proven track record delivering digital strategies and measurable business value.

• Experience managing enterprisescale data platforms (QUALIFI/ThoughtSpot or equivalent).

• AI/ML and risksensing product delivery experience.

• Strong governance stakeholder engagement and financial acumen.

• Global people leadership. with a track record of people development.

Percentage Traveled: up to 40%

Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race color religion sex sexual orientation gender identity age national origin disability protected veteran status or other characteristics protected by federal state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.

Johnson and Johnson is committed to providing an interview process that is inclusive of our applicants needs. If you are an individual with a disability and would like to request an accommodation please email the Employee Health Support Center () or contact AskGS to be directed to your accommodation resource.

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