Global Manager & Value Intelligence

Career Area:
Product Support

Job Description:

Your Work Shapes the World at Caterpillar Inc. 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.

Global Manager
- Performance & Value Intelligence leads Caterpillar's global capability for connecting customer business outcomes, operational performance, safety performance and delivery economics to fact-based decisions across the technology lifecycle. This is a leader-of-leaders role with global scope and accountability for the standards, analytics, governance and operating mechanisms that establish value expectations, monitor performance and demonstrate whether the customer business case is being achieved.

In this role, you will integrate three connected disciplines:
Value Engineering, Performance Intelligence and Performance Monitoring. You will build enabling frameworks once, support on-demand execution triggered by customer engagements, and establish recurring performance intelligence support on a defined cadence. You will also connect safety and performance monitoring to value realization decisions while keeping safety and production performance distinct. You will partner with regional Customer Value Enablement teams, Commercial, engineering, autonomous operations, Digital Support Solutions, finance and other global functions to translate data into decisions that help customers reach and sustain the business case.

• Own the global Performance & Value Intelligence operating model, including standards, methods, governance, definitions and advanced analytics roadmaps.
• Own value baselines and business cases through value engineering, value simulation, global benchmarking and domain expertise that support Commercial and customer decision-making.
• Lead the performance intelligence framework, standard reports, benchmarking including, what-if simulation capabilities, and gap analysis.
• Lead performance monitoring capabilities that provide short-interval control, decision support and domain expertise to on-site teams.
• Integrate Driver Safety System (DSS) safety advisory and monitoring-center insights, including live safety intelligence, advisor coverage and escalation, while building an integrated production performance monitoring system.
• Be accountable for value realization governance through recurring reviews to ensure the customer business case is being achieved.
• Define global KPIs, data quality expectations and decision rights, and ensure performance insights are trusted, comparable and actionable across regions and customer sites.
• Partner with regional leaders to prioritize demand, deploy specialist support, close capability gaps and transfer lessons learned into repeatable global standards.
• Lead, coach and develop managers, leads and specialists across value engineering, performance intelligence and performance monitoring, with a strong focus on succession and capability building.
• Represent Performance & Value Intelligence in enterprise, cross-functional and senior leadership forums, including executive-level customer engagements focused on value realization and performance.

Global accountability for the Performance & Value Intelligence capability across customer engagements and the technology lifecycle. Leadership of the disciplines and teams supporting Value Engineering, Performance Intelligence and Performance Monitoring, with connected governance for safety monitoring and cost-to-serve intelligence. Ownership of globally consistent frameworks, benchmarks, reporting standards, analytics and review mechanisms used by regional and customer-facing teams. Significant executive-level customer and enterprise exposure, influencing value commitments, operational decisions, service economics and long-term customer outcomes.

• Technical Excellence:
  Experience with autonomous, digital or connected industrial technology and the data, workflows and operating conditions required to monitor performance across complex customer environments.
• Relationship Management:
  Extensive experience building trusted…