Engineering Manager - Analytics, PLM and Tools

Caterpillar•Clayton, NC

4d•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 manager establishes the function’s strategy, priorities, governance, roadmap, and performance measures while partnering with engineering and other product development teams to improve speed, quality, cost, and user experience. The role partners across engineering, procurement, information technology, EHS, analytics, advanced technology, and other business functions. It supports insights from machine telematics, enterprise data platforms, and engineering systems; advances PLM transformation and continuous improvement of PLM tools; and contributes to division-level artificial intelligence initiatives. The position is on-site 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 experience, including organizing relevant information, assessing alternatives, and clearly communicating findings.
Ability to collaborate and facilitate effectively with cross-functional and global teams.
Analytical thinking, including determining root causes of organizational problems and developing alternative solutions.
Troubleshooting and problem-solving ability, including anticipating and resolving technical and process issues through data analysis and structured methods.
Working knowledge of gathering, documenting, and managing business and system requirements.
Working knowledge of how products, services, and supporting systems are developed, released, and supported within an engineering organization.

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 that 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.