Head of Enterprise AI & Data Science

Johnson Controls, Inc.; Neuhausen am Rheinfall; Vor Ort; CHF 280.000 - 420.000; Vollzeit

Zusammenfassung

Johnson Controls, Inc. seeks a seasoned Leader of AI & Data Science to direct an enterprise AI portfolio across four operations: GenAI & Agentic Platforms, AI Operations, Statistical & ML Modeling, and Data Center AI for HVAC.

The role demands deep technical credibility, strong people leadership, and the ability to align cutting-edge AI initiatives with business value, governance, and scalable production systems in energy and data center environments.

Qualifikationen

• Bachelor's or Master's in CS/DS/Engineering; PhD a plus.
• 12+ years in data science / ML; 5+ years in senior leadership.
• Proven production AI/ML at enterprise scale.
• Hands-on GenAI stack experience.
• Strong collaboration with business stakeholders and executives.

Aufgaben

• Define and execute multi-year AI/ML roadmap aligned with business priorities.
• Advise executive leadership on emerging technologies and business applications.
• Establish governance for responsible AI and model risk.
• Manage vendor relationships and build-vs-buy decisions.
• Lead design and scaling of GenAI platform and agentic workflows.
• Oversee ML operations: CI/CD, monitoring, drift detection, retraining.
• Develop AI/ML models for demand forecasting, pricing, and maintenance.
• Lead data center AI initiatives for thermal management and energy efficiency.
• Mentor POD leads and foster innovation and accountability.

Kenntnisse

Strategic leadership

Executive communication

AI strategy & governance

MLOps & cloud platforms

Vendor management

Ausbildung

Bachelor's or Master's in CS/DS/Engineering

Tools

OpenAI/Anthropic/OSS LLMs

RAG pipelines

Vector databases

LangGraph/CrewAI/AutoGen

AWS/Azure/GCP

Jobbeschreibung

Johnson Controls, Inc. seeks a seasoned Leader of AI & Data Science to direct an enterprise AI portfolio across four operations: GenAI & Agentic Platforms, AI Operations, Statistical & ML Modeling, and Data Center AI for HVAC.

The role demands deep technical credibility, strong people leadership, and the ability to align cutting-edge AI initiatives with business value, governance, and scalable production systems in energy and data center environments.