Director, MedTech Technology AI Orchestration and Enablement

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:

Multi-Family Technology Product & Platform Management

Job Category:

People Leader

All Job Posting Locations:

Guaynabo, Puerto Rico, United States of America, Raritan, New Jersey, United States of America

Job Description:

We are searching for the best talent for a Director, MedTech Technology AI Orchestration and Enablement to be located in Raritan, NJ or Guaynabo, PR.

The Director will own the vision, roadmap, and delivery of an enterprise AI enablement and orchestration platform that standardizes model deployment, multi‑model/agent orchestration, and production MLOps across cloud and edge. This Director will translate strategic priorities into a prioritized portfolio of capabilities, build reusable platform components and self‑service tooling, enforce governance and security guardrails, and drive measurable business impact through automated, agentic workflows. The role owns a $97M P&L and stewards AI orchestration that enables a $2B business transformation.

Role objective:

Lead the creation and operation of an enterprise AI enablement and orchestration platform that standardizes model deployment and multi‑model/agent workflows, embeds governance and security, and accelerates scalable, cost‑effective AI‑driven automation to deliver measurable business value.

Major Duties & Responsibilities:

AI Orchestration & Enablement Strategy

• Define and lead the roadmap for AI enablement and orchestration, aligning platform initiatives to business outcomes and ROI.

• Design, build, and operate a unified AI orchestration layer that handles model deployment, inference routing, chaining of agentic workflows, lifecycle automation, and low‑latency routing across cloud and edge.

• Deliver an AI enablement platform: feature store, model/catalog, policy engines, observability/metadata, developer toolkits, templates, and self‑service flows to accelerate ML delivery.

• Establish production‑grade MLOps (training/validation pipelines, CI/CD, canary/blue‑green deploys, rollback) and automate infra provisioning and cost‑aware inference scaling.

• Lead architecture and patterns for agentic AI and multi‑model orchestration (prompt management, chain‑of‑thought routing, tool use, human‑in‑the‑loop).

Financial Outcomes

• Deliver demonstrable automation and efficiency outcomes, with responsibility for achieving >$50M annual efficiencies beginning 2027.

• Steward financial resources: manage a $55M operating P&L and prioritize ~ $500M in AI investments against ROI and delivery milestones.

Operations and Risk Management

• Define and enforce model governance, deployment guardrails, approval gates, risk tiers, and auditability; ensure safety, fairness and explainability are embedded in orchestration.

• Partner with Security/ISRM to integrate model/data security controls (access, encryption, secure model stores, secrets).

• Operationalize monitoring and observ