Digital & Technology Director
Job ID
Service line
Corporate Segment
Role type
Areas of Interest
Digital & Technology/Information Technology
Dallas - Texas - United States of America, Richardson - Texas - United States of America


We are hiring a Digital and Technology Director to lead a global, cross-functional Data Science team focused on delivering value to our business. As a leader on the Data Science CoE team, you will deliver data and insights that drive decision-making, execution and investments in various aspects of business across CBRE.  Success requires analytical savviness, problem-solving sophistication, a willingness to roll up your sleeves and a dedication to make the highest impact possible. 

As one of the founding companies in Commercial Real Estate (CRE), CBRE is the world’s largest company spanning the spectrum of CRE services. The CoE was established to help Differentiate with Data and to promote and productionalize Data-motivated products across our business lines. Intuitive understanding of Statistical and Machine Learning Algorithms and experience in their application is needed.

Directly oversees work of multiple data scientists and analysts working on various projects spanning multiple areas of the business. Provides technical and thought leadership to the team ensuring that they apply the latest Data Science, ML and AI techniques and industry best practices to enable the most strategic business priorities. Ensures operational compliance and all delivery is effectively and efficiently managed. Serves as liaison to business units as needed.


  • Directly managing a team of data scientists and collaborating with a cross-functional team of product managers, engineers, and data analysts
  • Responsible for attracting, recruiting and growing data science and engineering talent within the team.
  • Provides technical and thought leadership to the team ensuring that they apply the latest Data Science, ML and AI techniques and industry best practices to enable the most strategic business priorities.
  • Understand and consider the ML platform architecture and the impact of design decisions may have on analysis quality and timeliness to serve business needs
  • Focuses on developing and deploying ML models for various business segment needs empowering partner D&T teams along with other Data Scientists and Analysts.
  • Develops best practices and guidelines for advanced analytics across the business acting as an enabler to accelerate the development of insights.
  • Provide statistical guidance for robust data analysis, experimentation and opportunity identification.
  • Maintains professional contacts with other organizations, research institutions, service providers, and software. Keeps abreast of technological changes and innovations in the area.
  • Directs the continuing review of present systems and methods, as well as the formulation of new and revised systems; determines appropriate changes to effect improvements, reduce costs, and enhance efficiency.
  • Plans, implements, and controls multiple digital & technology projects. Ensures that project plans are executed within cost and time constraints. Reports project performance and status to upper management.

Basic Qualifications

Bachelor's or Master's degree in Data Science, Computer Science, Information Systems, Analytics, Business Administration, Applied Mathematics or Statistics, or closely related field. Masters/PhD preferred.

  • 12+ years of experience in data and analytics with progressively increasing responsibility including 3+ years managing a team in a dynamic environment
  • 3+ years of demonstrated experience in solving complex business problems using data science, statistical techniques and machine learning to build predictive and prescriptive solutions to deliver measurable business impact
  • Deep understanding of statistical methods and robust inference
  • Ability to draw insights and conclusions from data to inform experiment design and business decisions through rigorous analysis and meta-analysis
  • Desire to collaborate with other product managers, data scientists, data analysts, and key business partners
  • Experience developing both machine learning and descriptive algorithms/modeling using languages as Python, R etc.
  • 4+ years of experience with diverse structured and unstructured data sets on relational – SQL, NOSQL databases
  • 5+ years of experience with one or more of Enterprise Visualization Tools: Tableau, QlikView, PowerBI
  • Proficient in Microsoft Office Suite with advanced Excel skills: pivot tables, macros, PowerPivots, advanced functions
  • Solid understanding of cloud platforms like AWS, Azure and/or GCP and familiarity with their AI/ML services
  • Comfortable formulating actionable insights and recommendations from analytics into presentations (using PowerPoint, Tableau, etc.) and presenting results to various levels of management.

  • Manages the planning, organization, and controls for a major functional area or department. May be responsible for a mix of direct and matrix reports.
  • Approves subordinate's recommendations for staff recruitment, selection, promotion, advancement, corrective action and termination.
  • Effectively recommends same for direct reports to next level management for review and approval. Monitors appropriate staffing levels and reports on utilization and deployment of human resources.
  • Leads and supports staff in areas of staffing, selection, training, development, coaching, mentoring, measuring, appraising and rewarding performance and retention. Leads by example and models behaviors that are consistent with the company's values. 

CBRE is an equal opportunity/affirmative action employer with a long-standing commitment to providing equal employment opportunity to all qualified applicants regardless of race, color, religion, national origin, sex, sexual orientation, gender identity, pregnancy, age, citizenship, marital status, disability, veteran status, political belief, or any other basis protected by applicable law.

NOTE: An additional requirement for this role is the ability to comply with COVID-19 health and safety protocols, including COVID-19 vaccination proof and/or rigorous testing.