Senior Customer Master Data Coordinator

Job Summary

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.

Job Description

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.

Key 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.

Required Qualifications

• 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.

Preferred Qualifications

• 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.
• Leadership views this role as a key partner in operational and data governa