Data Librarian / Data Steward

About Us:

CDK Global is a leading provider of cloud-based software to dealerships and Original Equipment Manufacturers (“OEMs”) across automotive and related industries. The Company’s cloud-based, software as a service (“SaaS”) platform enables dealerships to manage their end-to-end business operations including the acquisition, sale, financing, insuring, repair, and maintenance of vehicles. By automating and streamlining critical workflows, the integrated platform of modern solutions enables dealers to sell and service more vehicles by creating simple and convenient experiences for customers and improves their financial and operational performance.

The Role:

We are seeking a Data Librarian / Data Steward to support our Master Data operations on the MDM platform. This individual will play a key role in ensuring the data quality, integrity, accuracy, completeness, and compliance of master data records with organizational standards and policies, across our enterprise systems. The ideal candidate will have a strong understanding of data governance principles, attention to detail, and experience working with enterprise data in tools like Profisee, Salesforce, or ERP systems (e.g., Oracle, SAP).

Librarian / Data Steward

Location: Remote (Preference for Southeast or Midwest – Metro Atlanta, Florida, Chicago area, or Austin)

Key Responsibilities:

Master Data Operations

• Review and validate new master data (e.g. customer, product) creation and change requests in the Profisee MDM system.

• Ensure all requests meet standard operating procedures (SOPs), business rules, and data quality standards.

• Verify master data attributes such as names, addresses, tax IDs (where applicable), and hierarchy relationships using internal and external reference sources (e.g., Melissa Data, Dun & Bradstreet).

• Approve, reject, or route data requests to data owners or business stewards based on workflow rules.

Data Quality & Governance

• Maintain data accuracy, consistency, and completeness across systems by performing regular audits and reconciliations.

• Collaborate with Data Owners and Analysts and Engineers to establish governance practices. Support data literacy programs.

• Enforce data governance policies and ensure adherence to master data standards.

• Collaborate with Data Stewards, Business Owners, and IT analysts to resolve data quality issues and prevent recurrence.

• Support data cleansing, enrichment, and deduplication efforts during system migrations and/or periodic refreshes.

Process & Platform Support

• Document and continuously improve data stewardship processes (within Profisee).

• Participate in UAT and validation activities when new MDM (ex Profisee) workflows or business rules are deployed.

• Support metric tracking and reporting for stewardship activities (e.g., SLA adherence, data quality KPIs).

• Serve as a first-line validator in the data workflow, ensuring changes align with governance expectations.

Required Qualifications and Technical Skills:

• Bachelor’s degree in Information Technology, Computer Science, Business, or related discipline.

• 5–8 years of experience working with Master Data, Customer Data, or Data Quality Management.

• Hands-on experience with Profisee (or another MDM platform such as Informatica, Reltio, Semarchy, or SAP MDG).

• Knowledge of data lifecycle, data lineage, data quality, and Master Data Management concepts

• Strong data analysis and validation skills using Excel, SQL, or data visualization tools.

• Good Understanding of data governance principles, business rules, and workflow-based approvals.

• Excellent attention to detail, with strong organizational and documentation skills.

• Ability to define/design data quality metrics, KPIs and dashboards

• Effective in facilitating governance forums, stewardship councils, and data quality working groups

Preferred Qualifications & Attributes:

• Prior experience working in a data operations or shared services model.

• Familiarity with Salesforce, Oracle EBS/Fusion, or ERP master data structures.

• Familiarity with Data Catalog tools (ex Alation)

• Exposure to data quality tools (Melissa Data, D&B, or custom validatio