Career Area:
Technology, Digital and Data
Job Description:
Job Summary:
As the Technical Product Manager for Data Collection & Pipeline, you will be responsible for defining and executing the strategy, roadmap, and delivery of data products that enable AI, machine learning, analytics, and autonomous systems development. This role owns the end-to-end data ecosystem, including data collection, data acquisition strategies, annotation and labeling operations, data quality frameworks, and scalable data pipelines.
What You Will Do:
Maximize the value of enterprise data assets and define work for multiple scrum teams supporting data collection, labeling, quality, and pipeline initiatives. Collaborate with Product Owners, System Engineering, Data Scientists, Machine Learning Engineers, Data Architects, Analytics Architects, and Platform Architects to own and progressively elaborate functional and non-functional Epics and Features for Development Teams to deliver. The Technical Product Manager is empowered to make all decisions regarding the Data Product Backlog.
- Responsible for creating, maintaining, and prioritizing the Data Product Backlog according to business value, data readiness needs, model performance requirements, and operational priorities for the life of the product.
- Act as the key decision-maker regarding data collection capabilities, labeling workflows, data quality requirements, and pipeline functionality.
- Owns definition of acceptance criteria for data products, features, datasets, and platform capabilities.
- Responsible for defining data collection strategies that support AI, machine learning, analytics, and software product development.
- Lead prioritization of data acquisition, sensor data collection, simulation data generation, and data sourcing initiatives.
- Drive development and optimization of labeling and annotation workflows
- Partner with engineering teams to define and deliver scalable data ingestion, transformation, validation, storage, and delivery pipelines.
- Establish and monitor data quality metrics, governance standards, and operational KPIs to ensure datasets meet customer and business requirements.
- Represent internal and external customers by understanding data requirements and translating them into actionable product capabilities.
- Communicates data platform releases, roadmap updates, and capability enhancements to stakeholders and customers.
- Employee is also responsible for performing other job duties as assigned by Caterpillar management from time to time.
What You Will Have:
- Business Analysis: Knowledge of business analysis and the set of tasks, techniques, and tools required to identify business and data needs; ability to recommend solutions that deliver value to stakeholders through scalable data products and services.
- Decision Making and Critical Thinking: Knowledge of the decision-making process and associated tools and techniques; ability to accurately analyze data-related challenges and reach productive decisions based on informed judgment, balancing quality, cost, scalability, and business value.
- Effective Communications: Understanding of effective communication concepts, tools, and techniques; ability to effectively transmit, receive, and accurately interpret ideas, information, and needs across engineering, data science, operations, leadership, vendors, and customers
- Data Product Business Knowledge: Knowledge of and experience with the business aspects and operation of data products and platforms; ability to manage data assets, current uses, future requirements, and long-term data strategy.
- Data Collection and Labelling Operations: Knowledge of data collection methodologies, data acquisition strategies, annotation and labeling workflows, data quality management, and operational processes required to create high-quality datasets.
- Data Engineering and Pipeline Development: Knowledge of data engineering methodologies, modern data architectures, ETL/ELT processes, cloud-based data platforms, and scalable data pipeline best practices.
Consideration For Top Candidates:
- Lead enterprise-scale data programs from strategy development through roadmap execution and operationalization.
- At least 8 years of experience in Product Management, Technical Product Management, Data Product Management, or related software leadership roles.
- Experience defining and executing data collection, data acquisition, labeling, and data pipeline strategies.
- Strong understanding of dataset lifecycle management, data quality frameworks, governance, and operational metrics.
- Experience working closely with Data Engineering, Machine Learning, Analytics, and Platform teams.
- Data analytics and commercializing data products or APIs.
Additional Details:
- This position requires the candidate towork full-time at the Irving, TX office (Dallas)
- Domestic relocation assistance is available for this position.
- Visa sponsorship is NOT available with this position.
Summary Pay Range:
$128,470.00 - $208,770.00
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:
July 20, 2026 - August 3, 2026
