Senior Manager, Internal Enterprise Analytics & AI Experience Gateway

Caterpillar Caterpillar · Industrial · Irving, TX +1

Senior Manager role focused on defining and owning the enterprise architecture and platform for an Internal Enterprise Analytics and AI web application gateway solution within Global Finance. The role involves leading a platform team, defining architecture strategy, technical design standards, and roadmap development, ensuring scalable, reliable, and secure AI-powered solutions. Key responsibilities include designing technical infrastructure, building onboarding frameworks, enabling a reusable AI semantic layer, improving CI/CD and operability, and modernizing insight delivery from traditional BI to AI-first experiences. Requires strong experience in Azure cloud architecture, application design, and modern AI solution patterns like LLMs, RAG, and orchestration.

What you'd actually do

  1. Lead and develop the platform team, setting direction and driving execution across strategic initiatives
  2. Lead architecture execution across initiatives, ensuring high-quality delivery, effective stakeholder partnership, and strong resource coordination, including security access, compliance, and governance needs
  3. Design the application’s technical infrastructure, including orchestration layers, tool integrations, data retrieval patterns, testing approaches, and platform reliability
  4. Build a framework and execution plan to onboard segment- and division-specific applications into the platform
  5. Deliver self-service report and application management capabilities that improve usability and scalability for enterprise users

Skills

Required

  • Azure cloud architecture and deployment practices
  • Application design and architecture principles
  • Enterprise portal and self-service application design
  • Organizational Leadership
  • Effective Communication

Nice to have

  • LLMs
  • prompt engineering
  • retrieval-augmented generation (RAG)
  • function calling
  • orchestration
  • containerization
  • CI/CD
  • observability
  • security
  • scalable platform operations
  • traditional BI tools

What the JD emphasized

  • enterprise architecture and platform owner
  • AI-powered solutions
  • AI-enabled solution
  • AI semantic layer
  • AI-first experiences
  • modern AI solution patterns
  • governance, compliance, secure access, auditability, and enterprise control requirements

Other signals

  • AI-enabled solution
  • AI semantic layer
  • AI-first experiences
  • LLMs, prompt engineering, RAG, function calling, orchestration