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VP, Head of BOE Data Engineering

Job in Richardson, Dallas County, Texas, 75080, USA
Listing for: CBRE
Full Time position
Listed on 2026-05-30
Job specializations:
  • IT/Tech
    Data Science Manager, Data Engineer
Salary/Wage Range or Industry Benchmark: 125000 - 150000 USD Yearly USD 125000.00 150000.00 YEAR
Job Description & How to Apply Below

About the role

The Building Operations & Experience (BOE) Data Engineering Lead for CBRE acts as a global team leader for an experienced technical team delivering real estate data and analytics for CBRE’s clients and internal stakeholders. Capabilities will be focused on data integration, data products, warehousing, visualization, and AI to optimize client portfolio operations across several lines of business:
Enterprise, Local, and Property Management.

The BOE Data Engineering Lead will be responsible for leading all technical work by a global team of developers and QA professionals. S/he will implement the proper scalable technical solution within a multi-tenant environment. The solution with leverage CBRE’s suite of products or developing custom solutions when necessary for data integration and transformation with a strong focus on on-time delivery and quality.

The role will collaborate with senior business and technical management, the product team, and dedicated account resources to ensure overall progress and stakeholder satisfaction. The ideal candidate possesses a broad skill set across several key categories: product management, team management, strong stakeholder-facing communications, vast technical capabilities in data engineering, software engineering, and AI, and ideally knowledge of the corporate real estate outsourcing industry.

What

You’ll Do
  • Develop and own the data delivery/engineering strategy, aligned to digital and insights priorities, facilitating data intelligence and digital platforms.
  • Own end-to-end data delivery within a multi-tenant real estate platform, ensuring scalability, reliability, and performance across a large enterprise client base.
  • Operationalize GenAI and AI/ML use cases across the platform and client solutions.
  • Collaborate with cross-functional teams, prioritize initiatives, lead multiple concurrent work streams, including platform enhancements, data integrations, and client-specific custom solutions.
  • Provide formal supervision to global, cross-functional teams (engineering, data, QA, and delivery), including coaching, performance management, and career development.
  • Oversee continuous evaluation of digital systems, data pipelines, and processes to ensure alignment with business and client objectives.
  • Balance platform standardization with client customization, ensuring extensibility while minimizing technical debt.
  • Establish and manage delivery governance frameworks, including KPIs, SLAs, financial controls, and executive reporting.
  • Maintain and manage department budgets, ensuring efficient allocation of resources and strong financial performance of digital platforms.
  • Partner with product, engineering, and business stakeholders to define, prioritize and execute AI-first roadmap and technical strategy.
  • Serve as a key member of the sales and client engagement lifecycle, supporting RFP responses, solution design, and client presentations.
  • Support new client onboarding and platform implementations, ensuring seamless transitions and alignment on service delivery expectations.
  • Act as a senior escalation point for complex delivery risks, issues, and client concerns, driving timely resolution.
  • Coordinate system and platform strategies with field teams, accounting, and other business units to ensure integrated delivery.
  • Identify and solve complex, multi-dimensional problems using data-driven and scalable approaches.
  • Drive operational excellence through Agile/hybrid methodologies, automation, and CI/CD best practices.
  • Lead by example and model behaviors that are consistent with CBRE RISE values, persuading managers and other colleagues to take action while being guided by the organization's functional business plans.
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