Senior Customer Master Data Coordinator

Medline Industries, LP•Northfield, IL

5d•$23 - $34

About The Position

The Senior Customer Master Data Coordinator is a strategic, high-trust role responsible for the integrity, governance, and continuous improvement of customer master data across the enterprise. This position serves as the primary escalation point for complex or high-risk customer data issues and plays a key role in shaping how customer data supports operational execution, financial accuracy, and regulatory compliance. You will act as a subject matter expert and decision-maker, balancing data governance rigor with business needs, and ensuring customer data remains accurate, scalable, and fit for purpose as the organization evolves. Why This Role Is Critical Customer master data is foundational to revenue, compliance, reporting, and customer experience. Errors or misalignment in customer master data can create material financial, operational, and regulatory risk. This role ensures timely resolution of escalated issues that impact multiple systems or functions. The organization relies on this role to standardize processes, reduce rework, and enable teams to operate effectively.

Requirements

4+ years of experience in customer master data management, data governance, or enterprise data analysis.
Demonstrated experience handling escalations and making risk-based data decisions.
Strong understanding of ERP, CRM, and MDM environments and their downstream dependencies.
Proven ability to lead process improvement initiatives and influence cross-functional stakeholders.
Excellent communication skills with the ability to train, mentor, and guide others.

Nice To Haves

Experience in regulated or complex enterprise environments.
Familiarity with data governance frameworks and data quality tooling.
SQL or advanced data analysis experience.
Experience supporting global or multi-entity data models.

Responsibilities

Master Data Ownership & Governance Serve as the senior owner of the customer master data domain, including definitions, hierarchies, attributes, and quality standards.
Enforce governance policies and act as the final decision-maker for complex or conflicting customer data issues.
Ensure consistent application of customer data standards across ERP, CRM, MDM, and downstream systems.
Escalations & Risk Management Act as the primary escalation point for high-impact or sensitive customer data issues.
Assess business, financial, and compliance risk associated with data decisions and recommend appropriate actions.
Partner with Finance, Legal, IT, Sales, and Customer Operations to resolve escalations efficiently and defensibly.
Proactively identify systemic data risks and escalate emerging issues before they impact the business.
Process Improvement & Operational Excellence Lead continuous improvement of customer master data processes to improve accuracy, speed, and scalability.
Identify root causes of recurring data issues and design process or system changes to prevent reoccurrence.
Define and document standardized workflows, controls, and approval frameworks.
Support system implementations, integrations, and data migrations by defining senior-level customer data requirements.
Training, Enablement & Knowledge Leadership Develop and deliver training for business and operational teams on customer master data standards and processes.
Create and maintain documentation, playbooks, and reference materials to support consistent execution.
Serve as a mentor and subject matter expert for junior analysts and data stewards.
Promote data literacy and accountability across the organization.
Reporting & Leadership Support Define and monitor customer data quality KPIs and operational metrics.
Provide leadership with clear visibility into data health, risks, and improvement initiatives.
Translate complex data issues into concise, actionable insights for senior stakeholders.
Decision-Making Authority & Impact Approve or reject customer master data changes based on governance standards and risk assessment.
Determine appropriate resolution paths for escalated data issues.
Recommend and drive process and control improvements that reduce enterprise risk.
Influence how customer data supports financial reporting, analytics, and strategic initiatives.