Governance, Data Quality & AI Readiness Data Specialist

Caterpillar

Confirmed live today High trust
Closes in 4 days

Quick summary

Work type
On-site
Location
Nashville, TN
Salary
$94,728–$151,572 / yr
Posted
3 days ago
Freshness
Confirmed live today
Closes
Sep 18, 2026 (soon)

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $205k
This role $123k
$75k most similar roles pay here $275k

This role pays less than 96% of similar roles. Most pay $165,500–$243,950 — the shaded band above. At the midpoint, this role pays about $123k versus about $205k for comparable roles.

Based on 240 similar postings.

Employer

About Caterpillar

Caterpillar Inc. is the world''s largest manufacturer of construction and mining equipment, diesel and natural gas engines, industrial gas turbines, and diesel-electric locomotives. Industry: Heavy Equipment & Manufacturing

Caterpillar currently has 68 open roles on FindRole.

Listed pay typically runs $128,470–$190,176 across 67 roles with salary data.

Most-posted roles

View all roles at Caterpillar

At a glance

TL;DR · Governance, Data Quality & AI Readiness Data Specialist

The Governance, Data Quality & AI Readiness Data Specialist joins the Data & AI Solutions team to establish and operationalize trusted, governed, and high-quality enterprise data. This role serves as a bridge between business stakeholders and technical teams to support Customer 360, Master Data Management, analytics, and emerging AI capabilities. Responsibilities include implementing governance standards, managing data quality controls, expanding metadata management, and ensuring compliance with regulations like GDPR and CCPA. The candidate will also focus on AI readiness by improving lineage and provenance for model inputs. Key technologies and tools include Snowflake, SQL, Python, Power BI, Informatica, Collibra, Alation, Power Platform, APIs, Azure DevOps, and GitHub. This role addresses the critical challenge of ensuring enterprise data is governed, transparent, and ready to support strategic business outcomes and responsible AI practices within a regulated environment.

What you'll do

  • Operationalize enterprise data governance standards, policies, ownership models, and stewardship processes across business domains.
  • Partner with Legal, Risk, and Compliance teams to implement privacy requirements and regulatory controls like GDPR and CCPA.
  • Define and monitor data quality controls, scorecards, and KPIs while performing root-cause analysis for data issues.
  • Support Customer 360 and Master Data Management initiatives to ensure consistent identity resolution and golden record processes.
  • Expand metadata management, data lineage, business glossaries, and data catalog capabilities to improve asset discoverability.
  • Automate governance and data quality workflows using tools like Power Platform, Snowflake, and API integrations.
  • Establish governed data assets and frameworks to support AI readiness, model auditability, and responsible AI practices.

What we're looking for

  • Bachelor's degree in Information Systems, Computer Science, Data Analytics, Business, Engineering, or a related discipline.
  • 5+ years of experience in Data Governance, Data Quality, Data Management, MDM, Business Intelligence, Analytics, or Information Management.
  • Experience working with business stakeholders and technical teams to solve complex data challenges.
  • Experience documenting business requirements, policies, standards, business rules, controls, and governance processes.
  • Proficiency in SQL and data analysis techniques.
  • Strong communication, facilitation, and stakeholder management skills.
  • Experience with Data Governance, Data Quality, Metadata Management, Data Stewardship, MDM, or Information Management programs (preferred).
  • Experience supporting Customer 360, Golden Record, or customer master data initiatives (preferred).

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