Product Adoption Consultant – CAT AI Assistant

Job Description

When you join Caterpillar, you're joining a global team who cares not just about the work we do – but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here – we make it happen, with our customers, where we work and live.

Together, we are building a better world, so we can all enjoy living in it.

Technology, Digital and Data

As part of the newly created DACS Division, the Product Adoption Consultant (PAC) – Cat AI Assistant serves as the subject matter expert for Cat® AI Assistant and leads its go‑to‑market, adoption, and value realization across Caterpillar’s digital ecosystem in the EAME region. This is a highly customer‑facing and dealer‑facing consultative role requiring strong business acumen and the ability to translate AI capabilities into practical solutions that improve productivity, decision‑making, and digital engagement.

The role also acts as an AI champion within the EAME DACS team, driving internal AI adoption and capability development.

• Serve as the subject matter expert for Cat AI Assistant capabilities, use cases, roadmap, and business applications across Cat Digital Ecosystem.
• Lead go‑to‑market and adoption strategies for Cat AI Assistant across the EAME region.
• Partner with DACS teams, dealers, and customers to identify and prioritize high‑value AI use cases and adoption opportunities.
• Design and deliver demonstrations, onboarding, enablement, training, and change management programs that accelerate adoption and business value realization.
• Drive internal AI adoption within EAME DACS through education, coaching, and best‑practice sharing.
• Gather customer and dealer feedback, monitor adoption metrics and business outcomes, and communicate field insights to influence product enhancements and future capabilities.
• Collaborate with product owners and cross‑functional stakeholders to align on product capabilities, launches, and adoption priorities.
• Develop scalable playbooks, best practices, success stories, and communication materials to support regional deployment and capability building.

• Anticipates customer needs and identifies opportunities to create value through AI solutions.
• Understands customer business processes and recommends practical AI applications that address operational challenges.
• Uses customer feedback and insights to refine adoption strategies and improve user experiences.

• Continuously develops knowledge of AI technologies and industry trends.
• Advises stakeholders on AI adoption and change management strategies, implementation approaches, and best practices.
• Applies analytical and problem‑solving skills to address adoption challenges and improve user experiences.
• Acts as an AI thought leader within EAME DACS by promoting innovation and identifying opportunities to improve internal productivity and customer outcomes.
• Demonstrates hands‑on AI capability by designing, configuring, and experimenting with AI agents and workflows to solve business problems and improve productivity.

Knowledge of decision‑making processes and analytical methodologies and the ability to evaluate information and recommend practical solutions.

• Communicates complex concepts in clear, business‑relevant language tailored to the audience.
• Facilitates discussions and delivers messages that drive understanding, alignment, and action.

• Influences stakeholders and builds alignment on priorities, approaches, and desired outcomes.
• Uses business value and data‑driven insights to support recommendations and decisions.

• Builds trusted relationships with customers, dealers, and cross‑functional stakeholders.
• Collaborates effectively across teams to achieve shared objectives and drive business outcomes.

• Connects AI capabilities to measurable improvements in productivity, efficiency, and decision‑making.
• Articulates and demonstrates the business value of Cat AI Assistant through…