Senior Director, Data Science and AI – Enterprise

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🔥 0 minutes ago

🗽 New York – Remote

🗽 New York – 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, including machine learning, GenAI, and Agentic models that are tailored to business use cases • Drive the development of agentic AI systems — including multi-agent orchestration, tool-use, and autonomous task-execution pipelines — to automate complex enterprise workflows • Establish model development standards encompassing data preprocessing, feature engineering, model selection, hyperparameter tuning, evaluation, and documentation • Partner with data engineering teams to ensure robust, scalable, and high-quality data pipelines that support model training and inference • Mature the organization's AIOps (MLOps & LLMOps) capabilities, including CI/CD pipelines for model training, evaluation, deployment, and monitoring • Define and enforce standards for model versioning, experiment tracking, reproducibility, and model registry management • Implement robust model monitoring frameworks to detect performance degradation, data drift, concept drift, and bias in production systems • Serve as an internal AI innovation champion • Build and maintain an enterprise AI roadmap aligned with strategic business objectives • Foster a culture of experimentation through structured ideation programs, hackathons, and proof-of-concept sprints • Partner, support, and execute the organization's AI governance framework

🎯 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 • 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