AI Strategy & Deployment Manager
Listed on 2026-03-05
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Software Development
AI Engineer
Key Responsibilities
AI Strategy & Leadership
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 Med Tech, 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
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 FunctionData Analytics & Computational Sciences
Job Sub FunctionData Science
Job CategoryPeople Leader
All Job Posting LocationsRaynham, Massachusetts, United States of America
Job DescriptionOrthopedics Supply Chain is recruiting for an AI Strategy & Deployment Manager located in Raynham, MA, Raritan, NJ, West Chester, PA, Palm Beach Gardens, FL, Ireland and Switzerland. Candidates based in other DePuy Synthes locations will be considered as well.
Johnson & Johnson announced plans to separate our Orthopedics business to establish a standalone orthopedics company, operating as DePuy Synthes. The process of the planned separation is anticipated to be completed within 18 to 24 months, subject to legal requirements, including consultation with works councils and other employee representative bodies, as may be required, regulatory approvals and other customary conditions and approvals.
Should you accept this position, it is anticipated that, following conclusion of the transaction, you would be an employee of DePuy Synthes and your employment would be governed by DePuy Synthes employment processes, programs, policies, and benefit plans. In that case, details of any planned changes would be provided to you by DePuy Synthes at an appropriate time and subject to any necessary consultation processes.
What’sin it for you?
Join a mission‑driven organization focused on delivering life‑changing Orthopaedics products to patients around the world. In this role, you will shape the enterprise AI strategy, define the technical vision, and lead the deployment of advanced AI systems that elevate supply chain performance and Keep People Moving.
You’ll be at the center of transforming how the organization leverages AI—driving initiatives that range from machine learning to Agentic AI, while ensuring responsible AI adoption through strong governance, observability practices, and lifecycle management.
This is an opportunity to join a company deeply investing in modern data foundations, committed to enterprise guidelines that keep us at the forefront of AI innovation in Med Tech.
If you're passionate about building meaningful AI solutions and influencing the future of healthcare, this is where you can make a real impact.
Key Responsibilities- Partner with cross‑functional supply chain leaders to define and execute the enterprise AI strategy—identifying high‑value opportunities, prioritizing use cases, and developing long‑term AI roadmaps that align with business objectives.
- Lead build vs. buy vs. wait analyses, evaluating cost, scalability, quality, timing, and strategic implications across low‑code, high‑code, and external solution options.
- Own the end‑to‑end lifecycle for AI initiatives—from Agentic AI systems to classical ML—including data ingestion, feature engineering, model development, evaluation, and production deployment.
- Establish and enforce AI governance, MLOps, LLMOps, and observability frameworks, ensuring consistent quality, safety, reliability, and compliance across all AI assets.
- Design and implement evaluation methodologies and observability strategies for GenAI and Agentic AI solutions.
- Develop a data flywheel that accelerates automation, continuous learning, and system optimization.
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