Cushman & Wakefield Global, Inc is looking for a Lead Data Engineer to architect and drive the development of enterprise-scale data platforms and advanced analytics solutions. You will combine deep technical expertise with leadership responsibilities to innovate and establish best practices across multiple business units.
What You'll Do
- Partner with business leadership to identify impactful areas for the application of AI and ML.
- Lead data science and data-driven analytics engagements across clients in various sectors.
- Design and optimize ML models for predictive and prescriptive analytics solutions.
- Explore advanced techniques in AI and ML to enhance model performance.
- Maintain generative AI models along with development and updating of code and process documentation.
- Partner with data stewards to improve data availability and quality while ensuring compliance.
- Partner with technology teams to deploy AI and ML solutions in scalable environments.
- Use business intelligence tools for better visualization and transparency of data-driven insights.
- Manage a team of data engineers, data scientists, and analytics professionals to deliver data-driven insights and solutions.
- Track the latest AI innovations and build relevant proofs of concept to further our capabilities.
- Participate in organization building, hiring, partnerships, and conferences.
What We're Looking For
- Advanced statistics & machine learning expertise (e.g., causal inference, experimentation, forecasting, NLP, recommender systems, or deep learning).
- Strong programming skills.
- Production-quality code in Python or R.
- SQL mastery, including complex queries and performance tuning.
- Experience deploying models to production.
- Knowledge of model lifecycle, monitoring, retraining, and data drift.
- Solid data engineering awareness.
- Experience with data pipelines, feature stores, and cloud platforms (Azure/ML flow).
Nice to Have
- Experience in Databricks.
- Hands-on experience with machine learning pipelines or integrating data engineering with advanced analytics and AI workflows.
- Familiarity with data governance frameworks, including data lineage, cataloging, and compliance (e.g., GDPR, HIPAA).
- Background in delivering data-driven solutions for commercial real estate applications.
- A degree in IT, Engineering, computer sciences, business IT, or any quantitative discipline.
Technical Stack
- Python, R, SQL, Databricks, Azure, ML flow
Team & Environment
You will be managing a team of data engineers, data scientists, and analytics professionals.
Benefits & Compensation
- 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
- Compensation range: $72,165.00 - $84,900.00
Cushman & Wakefield is an Equal Opportunity employer to all protected groups, including protected veterans and individuals with disabilities.
