Senior Director, Data Science – AI

🕒 April 23

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Cushman & Wakefield

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1917

🏠 Real Estate

🏢 Enterprise

Real Estate • Enterprise • Logistics

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 • Drive the development of agentic AI systems • Establish model development standards • Partner with data engineering teams to ensure robust data pipelines • Mature the organization's AIOps capabilities • Define and enforce standards for model versioning and reproducibility • Implement robust model monitoring frameworks • Manage cloud AI/ML platform costs • Serve as an internal AI innovation champion • Build and maintain an enterprise AI roadmap • Foster a culture of experimentation • Collaborate with product and technology leadership • Partner with Legal, Compliance, and Risk teams • Champion sound AI principles organization-wide • Recruit, develop, and retain a high-performing team • Establish clear team structure, career paths, and performance frameworks • Foster a team culture that values intellectual curiosity and collaboration • Build strong cross-functional partnerships with technology and business leaders

🎯 Requirements

• 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 • Experience building or scaling agentic AI systems • Proven experience establishing MLOps/LLMOps practices • Background in AI governance, model risk management, or responsible AI frameworks

🏖️ 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