Senior Data Quality Analyst, Master Data, Procurement Services

• Define, document, and maintain data quality rules, validation checks, and acceptance criteria for procurement of master data elements (e.g., Service Codes, Vendor IDs, contract terms, material attributes)
• Develop and implement scalable data quality frameworks that integrate both preventative and detective controls
• Collaborate with business SMEs, data stewards, and IT partners to set thresholds, standards, and KPIs for data quality measurement
• Design and operationalize data quality dashboards and reports to monitor data health, trends, and compliance against standards
• Collect, analyze, and present data quality metrics and insights to leadership and stakeholders, identify patterns, risks, and opportunities for improvement
• Track and escalate data issues using structured issue tracking and remediation workflows
• Perform regular data profiling, completeness checks, and anomaly detection to validate data quality against business rules and governance standards
• Conduct root cause analysis to identify systemic issues and propose corrective actions with process owners and technology teams
• Support and enforce data governance policies and master data standards across procurement systems, ensuring alignment to enterprise frameworks
• Participate in governance forums and working groups to formalize stewardship roles, responsibilities, and data quality accountability
• Lead process improvement initiatives to eliminate data quality gaps and reduce manual intervention
• Identify opportunities for automation of quality checks and validation logic in collaboration with engineering and platform teams
• Build strong relationships with procurement, supply chain, finance, and IT teams to drive data quality initiatives, change management, and shared ownership
• Provide coaching, best-practice guidance, and advocacy on data quality principles across the organization

• Bachelor's degree in Computer Science, MIS, Business Analytics, or related field (or equivalent experience)
• 5+ years of experience in data quality, master data management (MDM), or data governance roles supporting enterprise data functions
• Strong understanding of data quality dimensions such as accuracy, completeness, consistency, validity, and timeliness
• Demonstrated experience writing and implementing data quality rules, validations, and thresholds
• Experience with data profiling, analytics, and quality reporting tools

• Knowledge of MDM platforms, data governance/quality tools, and automated monitoring frameworks (e.g., Collibra, Informatica, Talend, Great Expectations)
• Familiarity with SQL and scripting languages to support data profiling and quality automation
• Experience working with ERP (e.g., SAP) and procurement systems (e.g., Ariba)
• Proven success in cross-functional collaboration and influence within complex enterprise environments

eligible to participate in PG&E’s discretionary incentive compensation programs