Global Data Governance & Quality Steward

Convergint; United States; On-site; USD 90,000 - 130,000; Full time

Benefits offered by this job

10 Company Holidays and PTO (13 days)

Life insurance & Disability

401K Matching Plan

Wellness Program

Parental leave

Vehicle reimbursement

Job summary

Convergint is seeking a Data Steward to ensure accuracy and integrity of master data across enterprise systems. You will partner with global, vertical, and local teams to enforce standards, remediate issues, and drive governance, reporting, and insights.

The role supports administrative, operations, and sales teams with trusted data, enabling informed decisions and compliant processes. Strong data modeling, CRM/ERP familiarity, and certifications are valued.

Qualifications

• 3–5+ years of data stewardship, governance, or data analytics in a global enterprise.
• Experience with CRM/ERP systems and data modeling.
• Strong collaboration across IT, operations, and sales.

Responsibilities

• Enforce governance policies and ensure compliant data records.
• Perform data audits, cleansing, and de-duplication to maintain integrity.
• Collaborate with global teams to improve data management practices.
• Maintain data dictionaries and metadata for transparency.

Skills

Driving Organizational Accountability

Managerial Courage

Attention to Detail

Reporting & Dashboards

Analytical Thinking

Problem-Solving

Time Management & Prioritization

Collaboration & Communication

Multilingual skills

DAMA / MDM Certifications

Education

Bachelor's degree (data management or related)

Tools

Salesforce

Oracle

NetSuite

MDM

Excel

SQL

Job description

Convergint is seeking a Data Steward to ensure accuracy and integrity of master data across enterprise systems. You will partner with global, vertical, and local teams to enforce standards, remediate issues, and drive governance, reporting, and insights.

The role supports administrative, operations, and sales teams with trusted data, enabling informed decisions and compliant processes. Strong data modeling, CRM/ERP familiarity, and certifications are valued.