Senior Digital Data Steward Specialist

Caterpillar
Westminster, CO, United States
4 days ago
Apply on www.techcareers.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Compensation
$108,318.0 - $169,060.0
Working hours
Regular working hours

Tech stack

Agile Methodology Artificial Intelligence Data Analysis Cloud Computing Profiling Databases Data Governance Data Profiling Data Visualization Database Design Digital Data Python (Programming Language)
+9 more
Machine Learning Power BI Data Driven Tests SQL Databases Tableau (Software) Information Technology Data Analytics Tools for Reporting GPT

Job description

Trusted product data is foundational to Caterpillar’s Prime and Parts digital experiences, Cat.com, Shop.cat.com, Parts.cat.com, dealer eSites, and beyond. The Product Data Steward brings a data science and analytics lens to product data quality across both domains: profiling, scoring, and modeling Prime and Parts attribute data at scale, and using statistical and automated methods, not manual review, to find and resolve the exceptions that matter most.

What You Will Do

  • Build and maintain statistical data quality scorecards for Prime product attributes, tracking completeness, consistency, and accuracy over time
  • Use SQL and Python to profile Prime product data, identify anomalies, and quantify the business impact of data quality issues
  • Design dashboards and visualizations that surface Prime data health trends to engineering and business stakeholders
  • Apply automated rules and statistical models to triage data quality exceptions, replacing manual review with scalable detection
  • Partner with Data Quality Engineering to build reusable profiling and reconciliation logic that can extend across other product domains
  • Define and continuously refine content standards and business rules for Prime product data based on data-driven analysis
  • Support enrichment and migration validation for Prime by measuring data readiness quantitatively rather than by spot-check
  • Communicate data quality findings and trends clearly to both technical and non-technical stakeholders

What You Will Have

Value Realization: Knowledge of value realization methods; ability to plan, execute, monitor and manage business activities and resources to determine and achieve the actual value from a business initiative as estimated in an associated business case.

Requirements

Communicating Complex Concepts: Knowledge of effective presentation tools and techniques to ensure clear understanding; ability to use summarization and simplification techniques to explain complex technical concepts in simple, clear language appropriate to the audience.

Agile Development: Knowledge of agile methodologies and the agile development lifecycle; ability to utilize formal agile methodologies, disciplines, practices and techniques for the delivery of new and enhanced applications.

Cloud Computing: Knowledge of cloud-based solutions and their applications; ability to design, implement, and manage cloud-based solutions to meet business needs and improve operational efficiency.

Database Design (Physical): Knowledge of database systems; ability to establish a data model for designing an organization’s database that runs effectively and efficiently for better business outcome.

Modeling: Data, Process, Events, Objects: Knowledge of data, process and events; ability to use tools and techniques for analyzing and documenting logical relationships among data, processes or events.

Consideration for Top Candidates

  • Experience in data quality engineering, data analytics, or a related data science discipline
  • Proficiency in SQL and Python for data profiling, statistical analysis, and automation
  • Experience building dashboards or scorecards (Power BI, Tableau, or similar)
  • Familiarity with PIM/MDM platforms such as Akeneo; experience with product data a plus
  • Practical experience applying statistical or machine learning techniques to data quality or anomaly detection
  • Bachelor’s in Data Science, Statistics, Computer Science, Mathematics, or a related field or equivalant working experience
  • Proficiency with AI-assisted analytics tooling (e.g., Claude, ChatGPT, or similar) preferredorts to recap current findings and issues in data, processes or event models., * Data Analysis: Knowledge of data profiling, statistical analysis, and quality scoring methods; ability to translate findings into clear, prioritized action.
  • Data Governance: Knowledge of data governance and content standards; ability to define and enforce them using measurable, repeatable criteria.
  • Product Domain Knowledge: Working knowledge of the Prime product domain; ability to apply that context to data quality analysis.
  • Data Visualization: Knowledge of dashboarding and reporting tools; ability to turn data quality metrics into decision-ready visuals.
  • Automation Mindset: Ability to identify manual review processes that can be replaced with automated, statistically grounded checks.

Benefits & conditions

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

About the company

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 solutions for our customers and dealers. With over 1.5 million connected assets worldwide, our teams use data, technology, advanced analytics, and AI capabilities to help our customers build a better, more sustainable world., 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.

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 to 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., 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.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.techcareers.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

3:09 min

Balancing data science skillings alongside systems engineering rigor

Nico Schmidt · LIVE

4:01 min

Managing application isolation via pluggable database models

Wei Hu Wei Hu · World Congress 2022

1:24 min

Moving the semantic layer upstream to avoid vendor lock-in

Piotr Menclewicz Piotr Menclewicz · Europe 2026 Virtual

40 sec

Generative pre-trained transformer models powering code completions

lgonta lgonta +1 · World Congress 2024

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

3:04 min

Database evolution and the funding behind vector databases

Erik Bamberg · LIVE

Videos

See all

Related articles

See all