AI Strategy & Deployment Manager

At Johnson & Johnsonwe believe health is everything. Our strength in healthcare innovation empowers us to build aworld where complex diseases are prevented treated and curedwhere treatments are smarter and less invasive andsolutions are 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 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.

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Job Description:

Orthopedics 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 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.

Whats in it for you

Join a missiondriven organization focused on delivering lifechanging Orthopaedics products to patients around the 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.

Youll be at the center of transforming how the organization leverages AIdriving 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 MedTech.

If youre passionate about building meaningful AI solutions and influencing the future of healthcare this is where you can make a real impact.

Key Responsibilities:

AI Strategy & Leadership

• Partner with crossfunctional supply chain leaders to define and execute the enterprise AI strategyidentifying highvalue opportunities prioritizing use cases and developing longterm AI roadmaps that align with business objectives.

• Lead build vs. buy vs. wait analyses evaluating cost scalability quality timing and strategic implications across lowcode highcode and external solution options.

End-to-End AI Development & Deployment

• Own the endtoend lifecycle for AI initiativesfrom Agentic AI systems to classical MLincluding 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.

AI Reliability Observability & Automation

• 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.

BusinessTechnology Partnership

• Translate complex Orthopaedics Supply Chain requirements into scalable highvalue AI solutions.

• Work closely with product owners and business stakeholders to align solution design with operational goals and measurable outcomes.

Delivery & Program Management

• Manage AI project timelines budgets vendor engagements resource planning and delivery metrics to ensure timely highquality execution.

• Track and communicate AI initiative performance ensuring visibility and alignment across leadership teams.

Innovation & Continuous Improvement

• Stay up to date with advancements in AI ML data engineering and Agentic AIbringing forward recommendations and championing innovation.

• Promote best practices in AI reliability model evaluation governance and responsible AI deployment.

Qualifications:

Education:

Masters Degree (or equivalent experience) or PhD in Computer Science Engineering Applied Mathematics or related quantitative field.

Experience and Skills:

Required:

• 6 years of progressive experience in AI/ML data science or analytics with proven success delivering enterprise production grade AI applications.

• Expert proficiency in Python and SQL with hands on experience using modern data engineering stacks CI/CD DevOps and Git based workflows.

• Strong foundational understanding of:

  • Deep Learning Transformer architectures Attention mechanisms

  • Reinforcement Learning with Human Feedback (RLHF)

  • Model Context Protocol (MCP)

  • Modern LLM and GenAI concepts

• Experience with:

  • Enterprise AI search platforms using Azure Cognitive Search and Azure OpenAIpowered semantic ranking.

  • Vector database implementations on Azure including Azure AI Search Vector Store PostgreSQL with pgvector on Azure Database for PostgreSQL and integration with Azure Cosmos DB for vector embeddings.

  • Azure OpenAIbased RAG (RetrievalAugmented Generation) and semantic retrieval pipelines leveraging Azure Cognitive Search indexers skillsets and embedding models.

  • LLM finetuning and preferencealignment techniques using Azure OpenAI (finetuning APIs safety evaluations prompt engineering frameworks).

  • Dataset creation experiment management and A/B testing using Azure Machine Learning (Azure ML) pipelines MLFlow tracking and Azure Monitor for evaluation.

  • Classical ML model development and deployment (forecasting predictive modeling clustering) using Azure ML AutoML and MLOps on Azure DevOps/GitHub.

  • Ability to simplify complex Azure AI/ML concepts for business stakeholders driving clarity adoption and strategic alignment.

• Ability to simplify complex AI/ML concepts for business stakeholders driving clarity and alignment.

• Hands on experience building Agentic AI workflows or chatbots using frameworks like LangChain.

Preferred:

• Knowledge of endtoend supply chain processesPlanning Manufacturing Procurement Distributionpreferably in MedTech or regulated industries.

• Handson experience with InfrastructureasCode (IaC) distributed and scalable data systems or additional programming languages such as PySpark Scala or Julia.

• Strong understanding of endtoend supply chain processesPlanning Manufacturing Procurement Distributionpreferably within MedTech life sciences or other regulated industries.

• Working knowledge of enterprise platforms (ERP MES PLM) and experience navigating complex fragmented data environments.

• Demonstrated experience designing building and deploying Agentic AI applications tailored for MedTech or similarly regulated supplychain environments.

• Ability to leverage AI ML and Agentic AI to optimize inventory levels reduce working capital minimize stockouts and improve planning accuracy.

• Experience developing AIdriven strategies to enhance lastmile service performance including intelligent order allocation proactive exception management and dynamic fulfillment.

• Proven ability to apply AI/ML to improve cashflow efficiency by optimizing demand signals production sequencing replenishment decisions and inventory turns.

• Practical knowledge of integrating AI agents with operational systems to autonomously trigger actions orchestrate workflows and provide realtime decision support.

• Publications or contributions to top-tier AI conferences (e.g. NeurIPS AAAI EMNLP MICCAI).

Other:

• This position may require up to 20% travel domestic and international

Required Skills:

Preferred Skills: