Global AI-Powered MarTech Strategy Leader

CBRE

New York (NY)

On-site

USD 200,000 - 240,000

Full time

14 days+
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Benefits offered by this job

401(K)
Health insurance
Dental insurance
Vision insurance

Job summary

CBRE is seeking a Senior Director, Marketing Technology to lead our AI-first MarTech initiatives globally. This leader will define the strategy and roadmap for marketing automation, CDP, identity, and consent management, while ensuring governance, scalability, and measurable outcomes across 65+ countries.

The role requires deep expertise in AI-enabled segmentation, predictive modeling, and automated decisioning, with a strong track record in executive communication and cross-functional

Qualifications

  • 15+ years in marketing technology or related fields, with enterprise B2B experience.
  • Proven track record defining and executing AI-driven MarTech strategies and operating models.
  • Deep knowledge of marketing automation, CDP, consent management, CRM, and data activation.
  • Experience leading global marketing-technology programs and managing budgets and vendors.

Responsibilities

  • Define and own CBRE's AI-driven MarTech strategy and roadmap across platforms and data.
  • Own the MarTech ecosystem, vendor strategy, negotiations, and ROI tracking.
  • Lead global enablement, adoption, and measurement programs for marketing technology platforms.
  • Partner with privacy, legal, and data governance to ensure responsible use of data and AI.

Skills

AI-driven strategy
MarTech leadership
Marketing automation
Customer data activation
Identity strategy
Privacy & consent governance
Budget & vendor management
Executive storytelling

Job description

CBRE is seeking a Senior Director, Marketing Technology to lead our AI-first MarTech initiatives globally. This leader will define the strategy and roadmap for marketing automation, CDP, identity, and consent management, while ensuring governance, scalability, and measurable outcomes across 65+ countries.

The role requires deep expertise in AI-enabled segmentation, predictive modeling, and automated decisioning, with a strong track record in executive communication and cross-functional

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