Senior Director, Data Science and AI - Advisory

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🔥 12 minutes ago

🏄 California – Remote

🏄 California – Remote

💵 $204k - $240k / year

⏰ Full Time

🟠 Senior

📊 Data Scientist

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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 • Drive the development of agentic AI systems to automate complex enterprise workflows • Establish model development standards encompassing data preprocessing and feature engineering • Partner with data engineering teams for robust data pipelines • Mature AIOps capabilities, including CI/CD pipelines • Define and enforce standards for model versioning and monitoring • Build and maintain an enterprise AI roadmap aligned with strategic objectives • Foster a culture of experimentation and collaboration • Partner and execute the organization's AI governance framework • Recruit, develop, and retain a high-performing team of AI practitioners • Build strong cross-functional partnerships with technology and business unit leaders • Define and track KPIs and OKRs for the Data Science & AI function

🎯 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 is highly desirable. • Bachelor's degree in a quantitative field (Finance, Economics, Mathematics, Engineering, Computer Science, etc.) or related applied quantitative experience. • Master's degree in quantitative, arts, or business field preferred.

🏖️ 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