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.

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

Technology Product & Platform Management

Multi-Family Technology Product & Platform Management

People Leader

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

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.

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.

• 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).

• 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.

• 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 observability for models and orchestrations: performance, drift, latency, cost per inference, automated alerting and playbooks.
• Drive integration standards and APIs to connect orchestration with business systems (WMS/TMS/CRM/ERP), RPA, and external partners.
• Own lifecycle management for reusable AI assets (versioning, lineage, deprecation, discoverable catalog).
• Manage vendor/partner strategy for pre‑trained models, hosting platforms and orchestration tooling while enforcing procurement and compliance.
• Continuously improve via A/B testing, experimentation frameworks, post‑deployment learning loops and prioritized backlog management.
• Define SLAs, runbook‑driven incident response, and ensure legal/regulatory/privacy compliance across jurisdictions.
• Implement ethical AI practices (bias testing, human oversight for high‑risk actions, transparent decision logs, third‑party audits).

• Lead change management and enablement: train developers, data scientists, IT ops and business users on patterns, components and operational best practices.
• Build and grow a…