Data Steward – Contact Data Governance & Quality

Cintas Corporation; Mason (OH); On-site; USD 90,000 - 120,000; Full time

Benefits offered by this job

Competitive Pay

401(k) with company match/ESOP

Disability, Life and AD&D Insurance

Paid Time Off and Holidays

Skills Development & Career Growth

Job summary

Cintas Corporation seeks a Data Steward – Contact Data to oversee enterprise customer, prospect, and contact data governance. You will define standards, monitor quality, and collaborate with business and IT teams to enable trusted data for sales, service, marketing, analytics, and AI initiatives.

The role partners with CRM, ERP, and data platform teams to drive data modernization, lineage, and cataloging while ensuring privacy-conscious data assets across systems.

Qualifications

• HS Diploma or GED; bachelor’s degree preferred.
• 3 years in data governance, MDM, business process analysis, or related fields.
• Experience with CRM, marketing ops, sales ops, or service ops.
• Willingness to travel up to 10%.

Responsibilities

• Own and govern enterprise customer, prospect, and contact data domains to ensure data quality and value.
• Establish and promote data governance standards across the org.
• Partner with business and tech leaders to drive data strategy and MDM initiatives.
• Lead efforts to improve data quality, accessibility, and usability for operations and analytics.
• Serve as a trusted cross-functional liaison on data priorities, risks, and opportunities.
• Support data cataloging, lineage, and governance across systems.

Skills

Data governance

Master data management

CRM collaboration

Data quality monitoring

Business process analysis

Education

High School Diploma or GED

Bachelor’s degree preferred

Tools

CRM platforms

MDM platforms

Data catalog tools

Metadata management

Job description

Cintas Corporation seeks a Data Steward – Contact Data to oversee enterprise customer, prospect, and contact data governance. You will define standards, monitor quality, and collaborate with business and IT teams to enable trusted data for sales, service, marketing, analytics, and AI initiatives.

The role partners with CRM, ERP, and data platform teams to drive data modernization, lineage, and cataloging while ensuring privacy-conscious data assets across systems.