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Senior Manager - Data AnalyticsCaterpillar • United States
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Senior Manager - Data Analytics

Caterpillar
  • US
    United States
  • US
    United States
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Über

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.
The Senior Manager – Connectivity Data Analytics & AI Transformation is accountable for driving
data‑ and AI‑enabled engineering transformation
across Caterpillar’s
Connectivity organization
, with
Cat® Helios
as the foundational data and analytics platform.
This role leads the strategy, delivery, and adoption of analytics, automation, and AI solutions that improve
connectivity quality, engineering efficiency, system reliability, and customer outcomes
across the end‑to‑end connectivity ecosystem (on‑machine, off‑machine, dealers, and enterprise consumers).
The position combines
people leadership
,
technical judgment
, and
enterprise change leadership
, translating connectivity data into trusted insights and scalable AI capabilities that transform how engineering and service organizations operate.
Accelerate
engineering and quality transformation
through applied analytics, automation, and AI
Improve
connectivity data quality, validation effectiveness, and operational efficiency
Ensure connectivity AI solutions are
governed, production‑ready, and measurably valuable
What You Will Do:
1. Connectivity Analytics & AI Strategy
Define and own the
Connectivity Analytics & AI roadmap
, aligned to Connectivity strategy, Digital Data & AI standards, and Helios platform capabilities
Identify, size, and prioritize high‑value use cases (e.g., data quality, validation automation, anomaly detection, predictive reliability, AI‑assisted diagnostics, engineering productivity enablement)
Translate connectivity engineering problems into analytics and AI initiatives with
clear value metrics
(cost, quality, speed, risk reduction)
2. Helios‑Based Data Products & KPI Governance
Lead development and governance of
connectivity data products
built on Helios (semantic models, curated datasets, APIs, dashboards)
Partner with Helios platform teams, data engineering, and governance functions to ensure scalability, compliance, and reuse
Drive proactive data quality rule definition, monitoring, and remediation across connectivity data pipelines
3. AI‑Enabled Engineering & Quality Transformation
Apply AI/ML and GenAI capabilities to connectivity engineering workflows, including:
Validation and test automation
Fault, anomaly, and pattern detection
Predictive insights for reliability and service readiness
AI‑assisted documentation, diagnostics, and root‑cause analysis
Ensure AI solutions progress from
pilot → production → sustained adoption
Establish standards for
responsible AI
, model evaluation, monitoring, retraining, access control, and audit readiness
4. Delivery & Execution Leadership
Manage a portfolio of analytics and AI initiatives across Connectivity Quality, Validation, Engineering Efficiency, and Service Solutions
Ensure disciplined execution: scope definition, resourcing, dependency management, risk mitigation, and delivery governance
Provide
executive‑ready insights and narratives
that translate data and AI outputs into decisions and actions
5. Stakeholder Partnership & Change Leadership
Act as a
trusted analytics and AI advisor
to Connectivity leadership
Partner closely with:
Connectivity Engineering & Validation
Cat Digital / Helios platform teams
Service Engineering & Dealer Support
Cyber, Compliance, and Data Governance
Lead adoption, enablement, and change‑management efforts to embed analytics and AI into daily engineering and operational workflows
6. People & Capability Development
Build and lead a high‑performing team spanning analytics, data engineering, analytics engineering, and applied AI
Develop talent, clarify roles, and establish standards for technical excellence, delivery quality, and continuous improvement
Foster a culture that values
data‑driven decisions, automation, reusability, and measurable outcomes
What You Will Have:
Bachelor’s degree in Engineering, Computer Science, Data/Analytics, or related quantitative field (or equivalent experience)
Strong experience leading
analytics and/or AI initiatives
in complex engineering or technology environments
Demonstrated
people leadership
experience managing managers and technical professionals
Proven ability to translate ambiguous engineering problems into scalable data and AI solutions
Top Candidate Will Have:
Master’s degree (Engineering, Data Science, Computer Science, or MBA)
Experience with
connected systems, telematics, IoT data, or embedded/on‑machine plus cloud ecosystems
Hands‑on familiarity with modern data platforms, analytics tooling, and ML/AI delivery patterns
Experience operating in a
governed enterprise AI environment
Critical Skills & Competencies
Technical & Analytical
Advanced analytical thinking and problem structuring
Connectivity, telemetry, or large‑scale operational data understanding
Data modeling, KPI design, and analytics product ownership
Working knowledge of ML/AI and GenAI application patterns
Understanding of MLOps/LLMOps concepts (monitoring, drift, retraining)
Leadership & Influence
Enterprise transformation and change leadership
Executive communication and data storytelling
Cross‑functional influence without direct authority
Strong judgment balancing speed, rigor, and risk
Additional Skills:
This position requires the candidate to be based in Mossville, ILL.
Relocation assistance is available for this position
Visa sponsorship is NOT available for this position
#LI
Posting Dates: 6/1 - 6/19
Summary Pay Range:
$159,120.00 - $258,570.00
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
This position requires working onsite five days a week.
Relocation is available for this position.
Visa Sponsorship is not available for this position.
Posting Dates:
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 (http://flows.beamery.com/caterpillarinc/talcom) .
  • United States

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  • English
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