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Senior Manager, Analytics – Artificial Intelligence R&D
Caterpillar Inc.. Set and evangelize a bold technical vision for applied AI at Caterpillar .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in applied AI, leading technical teams, and delivering production-intent prototypes while ensuring alignment with business objectives. Proficient in statistical evaluation and responsible AI practices, with a strong command of Python-based ML stacks and modern AI frameworks.
Highest-signal resume keywords
Applied AI LeadershipProduction-Intent PrototypesPython-Based ML StacksStatistical EvaluationResponsible AI Practices
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Applied AIMachine Learning TechniquesStatistical RigorPrototypingReference ArchitecturesA/B TestingData ClassificationTechnical StandardsEvaluation CriteriaSystem-Level Thinking
Soft Skills
Effective CommunicationPartnership SkillsTechnical CoachingCross-Functional AlignmentSimplifying Complex Topics
Tools & Technologies
AWSMicrosoft AzureNVIDIAAI FrameworksSimulation Environments
Certifications & Qualifications
Master's Degree in Computer ScienceMaster's Degree in EngineeringMaster's Degree in Applied MathematicsMaster's Degree in Statistics
Industry Keywords
AI R&DIndustrial EcosystemsCaterpillar ProductsField-Deployed AIHyperscaler Partnerships
Tech Stack
Tools & technologiesAWSAzurePython
About the role
Key responsibilities & impact- Set and evangelize a bold technical vision for applied AI at Caterpillar
- Define and shape a portfolio of advanced AI initiatives
- Lead the design and delivery of production-intent prototypes and reference architectures
- Define technical standards, patterns, and evaluation criteria for downstream productionization and MLOps
- Partner with the Business POC Pod on use cases and the Long-Term Research Pod on applicable techniques
- Lead senior data scientists and AI engineers, including hiring, performance management, technical coaching, career growth, and standards
- Drive cross-functional alignment with product management, software engineering, dealers, customers, and external partners
- Establish R&D evaluation practices covering offline and online testing, benchmarking, trade-off analysis, and responsible AI
- Represent the pod to AI R&D leadership and Cat Digital executives, translating AI work into business outcomes
Requirements
What you’ll need- Effective communication skills, with the ability to simplify complex technical topics for executive audiences
- Ability to define and communicate a clear technical vision for applied AI and align teams and stakeholders
- Solid statistical and experimental rigor for evaluating AI systems and guiding decision making
- Ability to identify high-value AI opportunities and shape them into focused, actionable initiatives
- Experience leading senior technical teams and setting a high technical bar through coaching, feedback, and standards
- Strong partnership skills across product, engineering, and external partners
- Prior experience replacing or scaling a senior technical leader's scope, including stabilizing delivery while raising the technical bar
- Strong system-level thinking across data, models, and integration
- Deep understanding of translating research and experimentation into production-intent prototypes and reference architectures
- Strong expertise in modern AI methods, including large language models, generative systems, and advanced machine learning techniques
- Master's degree in Computer Science, Engineering, Applied Mathematics, Statistics, or a related technical field; advanced degree preferred
- Significant experience leading applied AI or AI R&D teams delivering production-intent prototypes and reference architectures
- Strong command of Python-based ML stacks and modern AI frameworks
- Solid statistical foundation applied to AI experimentation, including A/B testing, significance, and rigorous measurement of accuracy, latency, cost, and safety
- Experience partnering with hyperscaler and hardware partners such as AWS, Microsoft and Azure, NVIDIA, or equivalent
- Familiarity with simulation and synthetic environments for AI development for physical, real-world systems
- Track record of defining reference architectures, evaluation harnesses, and technical playbooks adopted to productionize AI
- Experience leading or contributing to design thinking and user research for AI experiences
- Background in operator-facing and field-deployed AI experiences
- Strong focus on responsible AI, data classification, and PII handling
- Exposure to Caterpillar's products, dealer network, or comparable industrial and equipment ecosystems is a plus
- Visa sponsorship is not available for this position
- Successful completion of a drug screen is required as a condition of employment
Benefits
Comp & perks- 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