Lead Data Specialist

. Define and guide the Power & Energy segment data vision, structure, and standards .

Posted 9/25/2026full-timeEast Peoria • Illinois • United StatesSenior💰 $128,470 - $192,710 per yearWebsite

Tools & technologies

CloudJavaPythonVault

Key responsibilities & impact

Define and guide the Power & Energy segment data vision, structure, and standards
Map the current-state data landscape, including systems, flows, redundancies, and gaps
Define and maintain the future-state data architecture vision and roadmap
Establish principles for scalable, reusable, and governed data ecosystems
Build and maintain conceptual data models for core business entities and relationships
Guide logical and physical data model development with engineering teams
Apply industry-standard modeling techniques, including dimensional and data vault modeling
Define canonical data definitions and promote reuse across domains
Partner with the Lead Data Engineer to translate architecture into implementable solutions
Oversee end-to-end data solution design from ingestion through consumption
Ensure architecture decisions support performance, scalability, and extensibility
Review and validate solution designs against architectural standards
Build relationships with business stakeholders and cross-functional teams
Present findings and drive alignment between technical solutions and business outcomes
Advise on data-related decisions and trade-offs
Identify and leverage appropriate data sources for use cases
Enforce enterprise data standards, governance policies, and security requirements
Promote data quality, consistency, and lineage
Define standards for metadata management, data classification, and access controls

What you’ll need

Bachelor’s degree in computer science, Information Systems, Data Engineering, Software Engineering, or related technical field (or equivalent experience)
Progressive experience in data, analytics, information architecture, or enterprise technology roles
Experience leading enterprise-scale data architecture initiatives across multiple business domains
Deep expertise in enterprise data architecture, data warehousing principles, and conceptual, logical, and physical data modeling
Proven experience defining and implementing enterprise data strategies, roadmaps, standards, and governance frameworks
Experience partnering with executive leadership, business stakeholders, and technology teams to translate business strategy into data architecture solutions
Knowledge of Caterpillar's Power & Energy business, including products, customers, operations, and key business processes
Experience managing work for a team of data engineers, providing direction, prioritizing deliverables, and ensuring high-quality, timely execution
Proficiency in at least one programming language, such as Python or Java
Demonstrated success leading large-scale data modernization, cloud migration, and digital transformation programs
Must work onsite five days a week
Domestic relocation is not available
Visa sponsorship is not available
Successful completion of a drug screen required as a condition of employment

Comp & perks