Director, Marketing - Digital Customer Experience

At Prologis, we don't just lead the industry-we define it with a 1.3 billion square foot portfolio and an annual throughput of approximately $3.2 trillion. We create the intelligent infrastructure that powers global commerce, seamlessly connecting the digital and physical worlds. From agile supply chains to energy solutions, our ecosystems help your business move faster, operate smarter and grow sustainably. With unmatched scale, innovation and expertise, Prologis is a category of one-not just shaping the future of logistics but building what comes next.

Director, Marketing
- Digital Customer Experience

Prologis

The Director, Marketing
- Digital Customer Experience will lead the strategy and evolution of Prologis' global digital customer experience ecosystem with an AI-first transformation mindset. This role sits at the intersection of Marketing, Customer Experience, Technology, Data, and AI, translating business priorities into scalable digital capabilities that improve how customers, prospects, marketers, and internal teams engage with Prologis.

The Director will own the vision and roadmap across digital experience platforms, including web and CMS, property search, digital asset management, marketing automation, analytics, personalization, conversational experiences, and AI-enabled capabilities.

A core expectation of this role is to continually reimagine Digital Customer Experience through AI, automation, and data. The Director will challenge existing customer journeys, content operations, marketing workflows, search experiences, personalization, analytics, and team processes to determine where AI can simplify, automate, augment, or fundamentally redesign the way work gets done and experiences are delivered.

AI should be considered from the outset when defining new digital capabilities rather than added after solutions have been designed.

This leader will translate Prologis' broader enterprise AI strategy into actionable Digital Customer Experience priorities and use cases, while partnering closely with Enterprise AI, Technology, Architecture, Data, Security, Privacy, Legal, and governance teams on shared platforms, standards, and responsible AI practices.

• Define and lead the global Digital Customer Experience strategy, roadmap, and priorities with AI, automation, data, and intelligent experiences embedded as foundational design principles.
• Continuously reimagine customer journeys, digital experiences, marketing operations, content workflows, search, personalization, analytics, and employee workflows through an AI-first lens.
• Identify, assess, and prioritize AI and automation opportunities across Digital Customer Experience based on customer and business value, feasibility, data readiness, risk, effort, adoption readiness, and alignment with enterprise strategy.
• Lead AI-enabled Digital Customer Experience capabilities from discovery and experimentation through production, adoption, measurement, and continuous improvement.
• Drive adoption of generative AI, conversational AI, intelligent search, personalization, automation, analytics, copilots, and agentic workflows where they create measurable customer or business value.
• Identify opportunities for AI agents and copilots within Digital Customer Experience and marketing workflows, define the product experience and business requirements, and partner with Enterprise AI and engineering teams on orchestration, tool access, guardrails, monitoring, and deployment.
• Manage digital platforms as products, with clear ownership, measurable outcomes, product roadmaps, continuous improvement, and strong customer and stakeholder feedback loops.
• Lead modernization of the global web and digital experience ecosystem, improving customer experience, marketer autonomy, content reuse, localization, accessibility, performance, scalability, and intelligent automation.
• Oversee the digital marketing technology portfolio, including CMS/DXP, property search, DAM, marketing automation, analytics, consent/tagging, search, personalization, and customer-facing integrations.
• Use data, experimentation, customer insights, and AI-driven analytics to improve digital journeys, engagement, conversion, operational efficiency, and decision-making.
• Partner with Enterprise AI, IT, Enterprise Architecture, Security, Legal, Data, Privacy, Procurement, and Vendor Management to ensure AI-enabled and digital solutions are scalable, secure, governed, responsible, and aligned with…