Lead Data Scientist

YDU JC Air Cond & Ref Inc.- Dubai; Neuhausen am Rheinfall; Vor Ort; CHF 250.000 - 380.000; Vollzeit

Zusammenfassung

Johnson Controls is seeking a seasoned Leader of AI & Data Science to own the enterprise AI portfolio spanning four operations: GenAI, AI Operations, Statistical & ML Modeling, and Data Center AI for HVAC. You will define the end-to-end AI strategy, drive measurable business value, and ensure reliability at scale with governance and vendor management.

Lead a multidisciplinary team of data scientists, ML engineers, GenAI engineers, and MLOps specialists, partnering with business units to

Qualifikationen

• Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Statistics, or related field (PhD a plus).
• 12+ years of experience in data science / machine learning with 5+ years in senior leadership managing multiple teams or PODs.
• Proven track record of delivering production-grade AI/ML systems at enterprise scale.
• Hands-on familiarity with GenAI stack: LLMs, RAG, vector databases, agent frameworks, and guardrail tooling.
• Strong cloud and MLOps practices with CI/CD for ML.

Aufgaben

• Define and execute multi-year AI/ML roadmap across four operations.
• Advise executive leadership on emerging technologies and business applications.
• Establish governance for responsible AI, model risk, data privacy, and compliance.
• Own operational backbone for AI/ML workloads including CI/CD, monitoring, drift detection, and retraining pipelines.
• Lead data center AI initiatives for thermal management, energy efficiency, and predictive maintenance.

Kenntnisse

Leadership

Strategic thinking

AI/ML systems

Stakeholder management

Executive communication

Ausbildung

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

Tools

LangGraph

CrewAI

AutoGen

OpenAI / Anthropic LLMs

Vector databases

Jobbeschreibung

About the Role

We are seeking a seasoned Leader of AI & Data Science to lead our enterprise AI portfolio spanning four specialized operations: Generative AI & Agentic Platforms, AI Operations, Statistical & ML Modeling, and Data Center AI for our HVAC business. This leader will own the end-to-end AI strategy — from experimentation to production — ensuring AI initiatives deliver measurable business value, operate reliably at scale, and align with the company's broader digital transformation goals. The ideal candidate combines deep technical credibility with strong people leadership, and can operate comfortably across cutting‑edge GenAI innovation, disciplined ML engineering, and domain‑specific applications in energy, HVAC, and data center environments.

Key Responsibilities

Strategic Leadership

• Define and execute the multi-year AI/ML roadmap across all four operations, aligned with business priorities and P&L impact.
• Act as the senior AI voice for the organization — advising executive leadership on emerging technologies (LLMs, agentic AI, edge AI) and their business applications.
• Establish governance frameworks covering responsible AI, model risk management, data privacy, and regulatory compliance.
• Manage vendor relationships (cloud providers, LLM providers, tooling), and build-vs-buy decisions.

GenAI & Agentic Platform

• Lead the design and scaling of an enterprise agentic AI platform (LLM orchestration, RAG pipelines, multi-agent workflows, tool/function calling, guardrails, and evaluation frameworks).
• Drive adoption of GenAI copilots and autonomous agents across internal and customer-facing use cases.
• Stay ahead of the rapidly evolving GenAI ecosystem (foundation models, fine-tuning, prompt engineering, agent frameworks) and set platform standards.

AI Operations

• Own the operational backbone for all AI/ML workloads: CI/CD for models, model monitoring, drift detection, retraining pipelines, observability, and incident response.
• Establish SLAs/SLOs for production models and GenAI services; drive reliability, latency, and cost optimization (including LLM inference cost management).
• Standardize the ML platform stack (feature stores, model registries, experiment tracking, deployment patterns) across the organization.

Statistical & ML Models for Business

• Oversee development of statistical, forecasting, and machine learning models supporting core business functions (e.g., demand forecasting, pricing, churn, service optimization, predictive maintenance).
• Ensure rigor in model development — experimental design, validation, explainability, and measurable business KPIs.
• Partner with business unit leaders to prioritize a portfolio of high-ROI analytics use cases.

Data Center AI for HVAC Business

• Lead AI/ML initiatives focused on data center development and operations — thermal management, cooling optimization, energy efficiency, capacity planning, and predictive insights for HVAC systems.
• Work closely with HVAC product, engineering, and field teams to translate sensor/telemetry data (BMS, IoT, chillers, CRAH/CRAC units) into actionable intelligence and product features.
• Develop digital twin, anomaly detection, and optimization models that improve PUE, uptime, and equipment lifecycle for data center customers.

People & Organizational Leadership

• Hire, mentor, and grow POD leads and a multidisciplinary team of data scientists, ML engineers, GenAI engineers, and MLOps engineers.
• Foster a culture of experimentation, engineering excellence, and business accountability.
• Define career paths, performance standards, and knowledge-sharing practices across PODs.

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Statistics, or a related field (PhD a plus).
• 12+ years of experience in data science / machine learning, with 5+ years in senior leadership managing multiple teams or PODs.
• Proven track record of delivering production-grade AI/ML systems at enterprise scale.
• Hands‑on familiarity with the modern GenAI stack: LLMs (OpenAI, Anthropic, open‑source), RAG, vector databases, agent frameworks (e.g., LangGraph, CrewAI, AutoGen), and evaluation/guardrail tooling.
• Strong grounding in MLOps/AIOps practices and cloud platforms (AWS / Azure / GCP), containerization, and CI/CD for ML.
• Solid foundation in classical statistics and ML (regression, time series, classification, optimization) and their application to business problems.
• Demonstrated ability to partner with business stakeholders, translate ambiguous problems into AI solutions, and communicate impact to executives.
• Experience managing budgets, vendors, and cross‑functional programs.

Preferred Qualifications

• Domain experience in HVAC, data centers, energy management, building automation, or industrial IoT.
• Familiarity with time‑series/telemetry data at scale, digital twins, physics‑informed ML, or reinforcement learning for control/optimization (e.g., cooling optimization).
• Experience with edge AI deployment and BMS/SCADA integration.
• Knowledge of responsible AI frameworks, model governance, and relevant regulations.
• Publications, patents, or recognized contributions in AI/ML.

Key Competencies

• Strategic thinking with hands‑on technical depth
• Multi‑team leadership and talent development
• Executive communication and stakeholder management
• Bias for action and outcome‑driven delivery
• Comfort with ambiguity in a fast‑evolving AI landscape

Johnson Controls: Enhancing the Intelligence of Buildings

Your buildings have a purpose. They are places for people to live or work. Facilities for learning or healing. Venues for entertainment and shopping. Sites for the specialized storage of tangible goods or mission‑critical data. Your buildings have a huge variety of functions; they are central to your mission. This is where Johnson Controls comes in, helping drive the outcomes that matter most. Through a full range of systems and digital solutions, we make your buildings smarter. A smarter building is safer, more comfortable, more efficient, and, ultimately, more sustainable. Most important, smarter buildings let you focus more intensely on your unique mission. Better for your people. Better for your bottom line. Better for the planet. At Johnson Controls, we’ve been making buildings smarter since 1885, and our capabilities, depth of innovation experience, and global reach have been growing ever since. Today, we offer the world’s largest portfolio of building products, technologies, software, and services; we put that portfolio to work to transform the environments where people live, work, learn and play.