Senior Data Quality & Product Stewardship Lead

Caterpillar Financial Services Corporation

Broomfield (CO)

On-site

USD 108,000 - 169,000

Full time

8 days ago
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Benefits offered by this job

Medical benefits
PTO
401(k)

Job summary

Caterpillar Financial Services Corporation seeks a Product Data Steward to elevate Prime and Parts data quality across Caterpillar digital experiences. You will profile data, build scorecards, and model data quality using automated rules to improve accuracy at scale.

You will work with Data Quality Engineering to deploy reusable profiling logic and partner with stakeholders to drive measurable data readiness and governance across product domains.

Qualifications

  • Experience in data quality engineering, data analytics, or 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 related field or equivalent working experience.
  • Proficiency with AI-assisted analytics tooling (e.g., Claude, ChatGPT, or similar).

Responsibilities

  • 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.

Skills

SQL
Python
Data quality
Dashboarding

Education

Bachelor's in Data Science
Statistics
Computer Science

Tools

Power BI
Tableau
Akeneo

Job description

Caterpillar Financial Services Corporation seeks a Product Data Steward to elevate Prime and Parts data quality across Caterpillar digital experiences. You will profile data, build scorecards, and model data quality using automated rules to improve accuracy at scale.

You will work with Data Quality Engineering to deploy reusable profiling logic and partner with stakeholders to drive measurable data readiness and governance across product domains.

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