Senior Director, Data Science and AI – Services

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Cushman & Wakefield

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1917

💼 Consulting

🏥 Healthcare

🏗️ Construction

Consulting • Healthcare • Construction

Cushman & Wakefield is a global leader in commercial real estate services, providing a wide range of services including agency leasing, asset services, capital markets, global occupier services, project and development services, tenant representation, and valuation and advisory for various industries such as logistics and industrial, multifamily, retail, life sciences, data centers, and healthcare. The company is committed to driving forward for clients, colleagues, and communities with a focus on diversity, equity, and inclusion, as well as environmental, social, and governance principles. Operating in over 60 countries with 52,000 professionals, Cushman & Wakefield consistently delivers insights and research, such as market reports and sustainability efforts.

📋 Description

• Lead the end-to-end architecture, development, and deployment of AI solutions including machine learning, GenAI, and Agentic models • Drive the development of agentic AI systems for automated complex workflows • Establish model development standards encompassing data preprocessing, feature engineering, model selection, hyperparameter tuning, evaluation, and documentation • Partner with data engineering teams for scalable and high-quality data pipelines • Mature the organization's AIOps (MLOps & LLMOps) capabilities • Define and enforce standards for model versioning, experiment tracking, reproducibility, and model registry management • Implement robust model monitoring frameworks • Manage cloud AI/ML platform costs and optimize infrastructure utilization • Serve as an internal AI innovation champion • Build and maintain an enterprise AI roadmap • Foster a culture of experimentation through structured ideation programs • Collaborate with product and technology leadership to embed AI capabilities into products • Partner, support, and execute the organization's AI governance framework • Lead AI risk assessments and manage data privacy obligations • Recruit, develop, and retain a high-performing team of AI practitioners

🎯 Requirements

• Bachelor's degree in a quantitative field (Finance, Economics, Mathematics, Engineering, Computer Science, etc.) or a bachelor’s degree with related applied quantitative experience • Master's degree in quantitative, arts, or business field preferred • 6-8 years of progressive experience in data science, AI/ML engineering & data • 1+ years of experience with generative AI and Agentic systems • at least 4+ years in a people leadership role • Demonstrated track record of delivering production AI/ML systems at enterprise scale • Hands-on experience with generative AI, large language models, and prompt engineering in an enterprise context • Experience building or scaling agentic AI systems • Proven experience establishing MLOps/LLMOps practices • Background in AI governance, model risk management, or responsible AI frameworks is highly desirable.

🏖️ Benefits

• health, vision, and dental insurance • flexible spending accounts • health savings accounts • retirement savings plans • life and disability insurance programs • paid and unpaid time away from work