IT Sr. Manager MLL AI Leader

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:

Technology Product & Platform Management

Job Sub Function:

Technology Operations Support

Job Category:

Scientific/Technology

All Job Posting Locations:

Beerse, Antwerp, Belgium

Job Description:

We are seeking a Senior Manager to drive Generative AI (GenAI), Machine Learning (ML), and Intelligent Automation initiatives across our global supply chain operations (Plan, Make, Deliver). This hands-on leader will spearhead the technical implementation and delivery of AI solutions, leveraging large language models (LLMs) and automation technologies to optimize supply chain processes. The ideal candidate combines deep expertise in GenAI platforms and LLMs with strong supply chain domain knowledge to guide a large, globally distributed team new to AI, accelerating AI adoption at scale. In this role, you will partner with our AI Community of Practice and other technology teams to deliver transformative solutions, while ensuring robust governance and upskilling of the broader organization in AI.

Major Duties & Responsibilities

Approximate Percentage of Time -- Tasks/Duties/Responsibilities

20% - Lead AI Solution Development: Identify and implement GenAI/ML solutions to improve supply chain planning,manufacturing, and delivery processes

20% - Technical Leadership & Delivery: Oversee the design, build, testing, and rollout of AI software components and automation workflows for supply chain use cases.This includes leveraging LLMs (for insights, predictions, or conversational agents) and intelligent automation (RPA, bots) to streamline processes.

20% - AI Governance & Best Practices: Establish robust governance for AI/ML models and automation tools – including MLOps/LLM Ops pipelines, evaluation metrics, and compliance with responsible AI guidelines. Monitor model performance post-deployment and drive continuous improvements and retraining as needed.

10%- Cross-Functional Collaboration: Work closely with supply chain business units and IT teams to identify automation opportunities, gather requirements, and integrate AI solutions into existing processes/systems. Partner with enterprise AI teams (e.g. Data Science,Center of Excellence) and external vendors as needed to accelerate implementation.

10% - Mentoring & Capability Building: Serve as the in-house GenAI/ML expert and coach – upskilling the broader team in AI. Lead training sessions, share best practices, and guide junior engineers or citizen developers working on automation. Champion a culture of data-driven innovation within the MLL organization supporting supply chain product groups.

10% - Fairness, Ethics & Compliance: Define and implement responsible AI practices that are safe, transparent, compliant and secure, for JnJ.Implement audit trails, controls, and ethical guardrails for agentic AI systems.

10% - Define OKRs to measure value from AI realization across MLL applications, solutions and platforms.

Required Qualifications

Required Years of Related Experience:      

·       Bachelor’s degree in Complutre Science, Engineering or related field/Masters/Ph.D. in Computer Science, Machine Learning, AI, Data Science, Engineering, or related field.

·       8+ years of progressive experience in applying AI/ML to real-world problems, including at l