Quality Enterprise Capability Owner

Caterpillar Caterpillar · Industrial · Peterlee, United Kingdom +2

This role is for a Quality Enterprise Capability Owner at Caterpillar, focusing on developing and deploying quality visibility and predictive capabilities within Modern Manufacturing. The position emphasizes driving innovation, embedding quality into broader manufacturing solutions, defining best practices and KPIs, and analyzing quality data for proactive decision-making. While the role champions AI integration, its core function is product/process quality management within an industrial manufacturing context, not direct AI/ML model development.

What you'd actually do

  1. Serve as the Quality subject matter expert for Modern Manufacturing, leading the development, deployment, and sustainment of quality visibility and predictive capabilities that support Operational Excellence.
  2. Drive the innovation, creation and implementation of enterprise quality solutions, ensuring scalability and consistency across manufacturing facilities, with an initial focus on Modern Manufacturing pilot sites.
  3. Partner closely with Modern Manufacturing workstream leads, ECOs, and facility teams to embed quality requirements into broader manufacturing capabilities and initiatives.
  4. Lead the definition, deployment, and monitoring of quality best practices, standards, and KPIs, ensuring alignment with the Future of Manufacturing strategy and measurable business impact.
  5. Analyze quality data and trends to identify risks, opportunities, and improvement actions, enabling proactive decision‑making and predictive insights across operations. Champion AI integration and innovation in quality. Drive digital thread connectivity and support Enterprise Data Domains, including the Global Quality domain and Data Council initiatives.

Skills

Required

  • Bachelor’s degree in Engineering (Mechanical, Electrical, Industrial, or related discipline) or equivalent knowledge demonstrated through professional experience
  • Strategic Thinking: Demonstrated experience leading enterprise‑level quality and manufacturing initiatives aligned to long‑term business objectives.
  • Decision Making and Critical Thinking: Extensive experience applying data‑driven decision‑making to complex, ambiguous quality and manufacturing challenges.
  • Influencing: Proven ability to influence cross‑functional stakeholders and drive alignment across ECOs, workstreams, and manufacturing facilities without direct authority.
  • Problem Solving: Extensive experience leading the resolution of complex, high‑impact quality and process problems across manufacturing environments.

Nice to have

  • Experience with factory automation and inspection systems
  • Background in visual inspection technologies and AI‑based system implementation
  • Knowledge of process control and advanced manufacturing quality capabilities

What the JD emphasized

  • quality visibility and predictive capabilities
  • Future of Manufacturing strategy
  • quality best practices, standards, and KPIs
  • AI integration and innovation in quality