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Manager Analytics – CM Analytics Transformation

Caterpillar
Chicago, IL, USAHybridData & AnalyticsSenior-Level$147,760 - $240,110Posted: today
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About the role

Career Area: Technology, Digital and Data 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.

Cat® Digital is the digital and technology arm of Caterpillar Inc., leveraging the latest technologies to build industry leading digital and analytics solutions for our customers and dealers. We’ve created an inclusive environment for you to explore your passions, make an impact and do the work that really matters. With over 1.5M connected assets worldwide, our business and in the industries, we serve, data is generated continuously by Cat® equipment using the latest technology, advanced analytics, telematics and AI capabilities to help our customers build a better world.

Job Summary: The Condition Monitoring (CM) Analytics Team within Cat Digital’s Analytics and Applied AI organization seeks a talented and motivated Analytics Manager to lead the CM Analytics Transformation team.

This hands-on manager leads a team of data scientists to develop, production deploy, and support next-generation analytics to transform Condition Monitoring Advisor (CMA) workflow in the Cat Foresight CM application, including scalable failure modeling approaches, evidence and context clustering, CMA persona modeling, and closed-loop learning on CMA behavior to provide high-confidence asset insights and predictive maintenance recommendations.

What You Will Do: Build, manage, and execute the CM Analytics Transformation portfolio collaborating with commercial, digital product, and engineering / R&D / ML & AI Ops teams. Identify assets requiring intervention; assemble relevant evidence and context; generate high-quality, persuasive, specific, actionable recommendations. Drive innovation and execution to deliver on commitments. Set, adjust, and communicate priorities; develop contingency plans; manage resource loading; monitor program results.

Supervise and provide hands-on technical guidance to a team of 8-12 data scientists, accountable for their success and responsible for hiring, performance management, technical and career coaching. Foster a culture of customer focus and collaboration, cultivating a sense of urgency and also of psychological safety.

What You Will Have: Business Statistics: Knowledge of statistical tools, processes, and practices to evaluate results and guide decision making Products and Services: Knowledge of major products and services and product and service groups; ability to apply knowledge of product and service appropriately to diverse situations. Analytical Thinking: Knowledge of techniques and tools that promote effective analysis; ability to determine the root cause of both technical and organizational problems, and to create alternative solutions that resolve these problems.

Innovation: Ability to create and develop new ideas for answers to business and technical problems; identify, develop, and evaluate high value opportunities to improve performance and deliver business value for CM Transformation Machine Learning: Strong knowledge of modern ML/AI methods for supervised and unsupervised learning, recommender systems, and agentic approaches to transforming IOT event/diagnostic/timeseries data, inspections, fluids analyses, asset context, service data, etc. into comprehensive asset-level predictive maintenance undefined Considerations For Top Candidates: B.S.

in data science, applied mathematics/statistics, engineering, or related technical field (advanced degree desirable) Typically 12 years work experience in technical and leadership roles, including 8 years in data science, analytics, AI, engineering, or similar role, and 4 years leadership experience over analytics, digital, and/or software development teams Expertise in python ML stacks and modern AI frameworksExperience developing digital solutions in the IOT / condition monitoring space Familiarity with Caterpillar products, applications, data, and digital ecosystem a strong plus Passion

and skills for recruiting, interviewing, talent development, and the care and feeding of teams What You Will Get: Working with a Fortune 100 leader, you can build your career on a global scale and take advantage of development opportunities with emerging technologies. We’ve created an inclusive environment for you to explore your passions, make an impact and do the work that really matters. Join Us.

Additional Details: This position will be based out of either our Chicago, IL or Peoria, IL offices Relocation Assistance is NOT available for this role Visa Sponsorship is NOT available now or in the future About Caterpillar Caterpillar Inc. is the world’s leading manufacturer of construction and mining equipment, off-highway diesel and natural gas engines, industrial gas turbines and diesel-electric locomotives. For nearly 100 years, we’ve been helping customers build a better, more sustainable world and are committed and contributing to a reduced-carbon future.

Our innovative products and services, backed by our global dealer network, provide exceptional value that helps customers succeed. #LI #BI (used to post on Built In Chicago) Summary Pay Range: $147,760.00 - $240,110.00 Compensation and benefits offered may vary depending on multiple individualized factors, job level, market location, job-related knowledge, skills, individual performance and experience. Please note that salary is only one component of total compensation at Caterpillar. Benefits: Subject to plan eligibility, terms, and guidelines. This is a summary list of benefits.

Medical, dental, and vision benefits_ Paid time off plan (Vacation, Holidays, Volunteer, etc.)_ 401(k) savings plans_ Health Savings Account (HSA)_ Flexible Spending Accounts (FSAs)_ Health Lifestyle Programs_ Employee Assistance Program_ Voluntary Benefits and Employee Discounts_ Career Development_ Incentive bonus_ Disability benefits Life Insurance Parental leave Adoption benefits Tuition Reimbursement \* These benefits also apply to part-time employees Visa Sponsorship is not available for this position.

Posting Dates: September 21, 2026 - October 1, 2026 Any offer of employment is conditioned upon the successful completion of a drug screen. Caterpillar is an Equal Opportunity Employer, Including Veterans and Individuals with Disabilities. Qualified applicants of any age are encouraged to apply. Not ready to apply? Join our Talent Community. There’s more to work at Caterpillar than just the work itself. We hire smart, friendly people and it shows in our culture.

We hold ourselves to high standards and make sure our values of integrity, excellence, teamwork, commitment and sustainability come to life in the way we work. We make sure our employees feel continuously challenged while also supported. We provide professional growth opportunities, including leadership programs. We celebrate the diversity of our team, while also working together as one Caterpillar. Our culture, like everything at our company, is made possible by each employee’s contribution.

Person by person, we create the environment we work in, and we are proud of the Caterpillar we’ve built.

Minimum requirements

  • B.S. in data science, applied mathematics/statistics, engineering, or related field; advanced degree preferred
  • Minimum 12 years technical and leadership experience, including 8 years in data science/analytics/AI and 4 years managing analytics or software teams
  • Expertise in Python ML stacks, modern AI frameworks, and IoT/condition monitoring digital solutions development

This listing was parsed by AI and may not be complete. Check the official posting on Caterpillar's site for the most accurate information.

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