Director, MedTech Technology AI Orchestration and Enablement

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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 multimodel/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 selfservice 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 multimodel/agent workflows embeds governance and security and accelerates scalable costeffective AIdriven 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 lowlatency routing across cloud and edge.

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

• Establish productiongrade MLOps (training/validation pipelines CI/CD canary/bluegreen deploys rollback) and automate infra provisioning and costaware inference scaling.

• Lead architecture and patterns for agentic AI and multimodel orchestration (prompt management chainofthought routing tool use humanintheloop).

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 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 pretrained models hosting platforms and orchestration tooling while enforcing procurement and compliance.

• Continuously improve via A/B testing experimentation frameworks postdeployment learning loops and prioritized backlog management.

• Define SLAs runbookdriven incident response and ensure legal/regulatory/privacy compliance across jurisdictions.

• Implement ethical AI practices (bias testing human oversight for highrisk actions transparent decision logs thirdparty audits).

Talent & people management focus areas

• 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 crossfunctional team (ML engineers MLOps SRE data/platform engineers product owners) and define clear platform vs embedded team responsibilities.

• Mentor and develop direct reports and senior technical leaders; drive hiring performance management and succession planning.

Other Duties:

• Serve as the executive sponsor for crossfunctional AI orchestration initiatives representing the program to senior leadership and external stakeholders.

• Own budget planning forecasting and spend optimization for the AI enablement portfolio; recommend investment priorities aligned to ROI.

• Chair architecture reviews and change control boards for model data and orchestration platform changes.

• Maintain and enforce documentation standards (runbooks SLOs/SLAs playbooks design artifacts) and ensure knowledge is distributed across teams.

• Coordinate and support internal and external audits regulatory inquiries and compliance assessments related to AI and data usage.

• Design and run enablement programs (training labs certifications) to scale skills across developers data scientists IT ops and business users.

• Lead proofofvalue and pilot programs translating results into scaled rollouts or decommissioning decisions.

• Perform other duties as assigned to meet evolving business needs.

Qualifications

Required:

• Bachelors degree in business Engineering Computer Science Data Science or related field.

• Advanced degrees (MBA M.S. or equivalent) strongly preferred.

• 8-10 years of related experience

Required knowledge

• AI/ML fundamentals: supervised/unsupervised learning large language models finetuning evaluation metrics bias and fairness concepts.

• Orchestration & agentic patterns: multimodel routing agent chaining prompt management tool integrations humanintheloop designs and action policies.

• Model serving & inference at scale: lowlatency routing edge vs cloud tradeoffs batching autoscaling costaware routing and inference optimization.

• Data engineering & feature management: feature stores data pipelines ETL metadata lineage and versioning.

• Observability & reliability: telemetry design drift detection latency/cost monitoring SLOs/SLAs incident runbooks and MTTR practices.

• Security & privacy: access controls encryption secrets management secure model stores data minimization and secure data flows.

• Integration & APIs: standards for connecting orchestration to ERP/CRM/WMS/TMS RPA thirdparty services and carrier/3PL ecosystems.

• Cost management & financial acumen: budgeting P&L stewardship cost/perinference modeling and ROI measurement.

• Business domain fluency: ability to translate business processes into AI orchestration solutions and to define KPIs tied to operational outcomes.

Required skills

• Technical depth: evaluate and make architecture decisions across ML infrastructure orchestration cloud/edge inference and distributed systems.

• Product and program management: prioritize a portfolio of initiatives manage dependencies run agile delivery and track ROI and KPIs.

• Vendor & commercial skills: evaluate vendors negotiate contracts and manage partner integrations and licensing.

• Communication & stakeholder influence: present complex technical topics to executives build consensus and drive adoption across business teams.

• People leadership: recruit mentor and grow crossfunctional teams; manage performance and succession planning.

• Operational rigor: define SLAs/SLOs runbookdriven incident response observability standards and continuous improvement loops.

Required abilities (behaviors & outcomes)

• Translate complex business problems into concrete AI product solutions that deliver measurable efficiencies.

• Build mentor and scale multidisciplinary teams and grow next-generation AI capability.

• Make data-driven prioritization decisions and be accountable for delivery and financial outcomes.

• Establish and enforce governance and lifecycle controls to ensure model trustworthiness and compliance.

• Drive rapid experimentation while mitigating risk and ensuring safe production rollouts.

• Identify capability gaps across leadership and teams and implement rotation development or role adjustments to sustain delivery.

• Operate with sound judgment under ambiguity and coordinate cross-organizational change to convert insights into operational actions.

Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race color religion sex sexual orientation gender identity age national origin disability protected veteran status or other characteristics protected by federal state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.

Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants needs. If you are an individual with a disability and would like to request an accommodation external applicants please contact us via internal employees contact AskGS to be directed to your accommodation resource.

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Director