Engineering Manager - Analytics, PLM and Tools

Caterpillar Inc.•Clayton, NC

1d•$128,470 - $192,710•Onsite

About The Position

The Engineering Manager for Analytics, Product Lifecycle Management (PLM), and Tools leads a specialized team delivering data, digital, and process solutions for Caterpillar’s global BCP organization. The role establishes the function’s strategy, priorities, governance, and performance measures, and partners with engineering and other product development teams to improve speed, quality, cost, and user experience. The manager works across engineering, procurement, information technology, EHS, analytics, advanced technology, and other business functions. The role uses machine telematics, enterprise data platforms, and engineering systems to develop insights; advances PLM transformation and improves existing PLM tools; and contributes to division-level artificial intelligence initiatives. This position is onsite five days per week at the Clayton Machine Development Center, with travel of 10% or less, and relocation is available.

Requirements

Bachelor’s degree in engineering, data science, computer science, information systems, or a related field.
Experience leading technical teams, projects, or workstreams in an engineering or business environment.
Experience with Power BI, Tableau, or similar business intelligence software, including developing visually effective, intuitive reporting and decision-support solutions.
Experience with Snowflake or a comparable cloud-based data warehouse or enterprise data platform.
Strong written and verbal communication skills, with the ability to engage technical and nontechnical audiences.
Proficiency with Microsoft 365 applications, including Teams, Excel, PowerPoint, and Word.
Data analysis and decision-support skills, including organizing relevant information, assessing alternatives, and clearly communicating findings.
Ability to collaborate with cross-functional and global teams, facilitate discussions about goals and responsibilities, and support teams through project and initiative completion.
Analytical thinking and knowledge of techniques and tools for identifying root causes and creating alternative solutions.
Ability to anticipate, identify, and resolve technical and process issues using data analysis, impact evaluation, and structured problem-solving techniques.
Working knowledge of gathering, documenting, and managing business and system requirements to align user needs, system capabilities, and business objectives.
Working knowledge of how products, services, and supporting systems are developed, released, and supported in an engineering organization, including cross-functional and value-chain linkages.

Nice To Haves

Programming experience with SQL, Python, and DAX.
Ability to collaborate across engineering, purchasing, supply chain, manufacturing, and other business disciplines.
Exposure to a machine learning platform such as TensorFlow, scikit-learn, or other industry-standard applications.
Experience developing analytics products using Snowflake, data lakes, or similar enterprise data platforms.
General knowledge of product development frameworks and processes, including Caterpillar New Product Introduction (NPI).
Understanding of PLM platforms, engineering data, configuration management, and related product development workflows.
Understanding of how Caterpillar telematics data is collected, stored, consumed, and used to serve internal and external customers.
Knowledge of Caterpillar or other equipment manufacturers’ products, applications, and customer use cases.
Experience applying automation, machine learning, or artificial intelligence to engineering or business processes.

Responsibilities

Build, lead, and develop a high-performing team across analytics, PLM, and engineering productivity tools.
Define the team’s strategy, roadmap, governance, priorities, and performance measures.
Partner with internal customers to prioritize needs and deliver scalable technical solutions.
Deliver intuitive dashboards, reports, interfaces, and shared data products that translate insights into action and support informed decision-making.
Improve PLM systems and develop automation tools to streamline workflows, increase adoption, and reduce cost and rework.
Partner with enterprise teams to acquire, govern, and analyze telematics and other business-critical data, turning it into actionable insights.
Apply AI and machine learning to analytics products and engineering workflows where they create measurable value.
Communicate the team’s value, drive adoption, support investment decisions, and share best practices and reusable solutions across Caterpillar.