Senior Director, Data Science and AI - Advisory

Cushman & Wakefield

Senior Director leading AI strategy at Cushman & Wakefield. Responsible for building and governing AI solutions across the enterprise.

Posted 7/29/2026full-timeRemote • California • 🇺🇸 United StatesSenior💰 $204,000 - $240,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading the architecture, development, and deployment of AI solutions, with a strong focus on generative AI, agentic systems, and MLOps practices. Proven ability to build high-performing teams and establish AI governance frameworks aligned with strategic objectives.

Highest-signal resume keywords

AI Solution ArchitectureGenerative AI ExperienceMLOps PracticesPeople LeadershipAI Governance Frameworks

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ScienceAI/ML EngineeringModel Development StandardsData PreprocessingFeature EngineeringCI/CD PipelinesModel VersioningMonitoringPrompt EngineeringAgentic AI Systems

Soft Skills

CollaborationTeam DevelopmentCross-Functional PartnershipCulture of Experimentation

Industry Keywords

Enterprise AI RoadmapKPI TrackingOKR TrackingModel Risk ManagementResponsible AI Frameworks

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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