Full-Time Data Quality Lead

Job Summary

The Enterprise Data Office (ECDO) is seeking a passionate and experienced Data Quality Lead to play a critical role. You will be responsible for establishing, leading, and championing the data quality practice across the enterprise.

Key Responsibilities

• Design, implement, and own the enterprise-wide Data Quality (DQ) framework.
• Define and own Key Quality Indicators (KQIs) and metrics to measure the health of data across critical domains.
• Develop and execute a roadmap for data quality initiatives.
• Collaborate with Data Owners, Stewards, and Domain Leads to identify, profile, and certify Critical Data Elements (CDEs).
• Establish and enforce data quality rules and thresholds for CDEs.
• Lead data certification processes to formally validate datasets.
• Design and deploy automated DQ monitoring, alerting, and observability solutions using our cloud data platform.
• Collaborate with Data Engineering to embed automated DQ checks directly into data pipelines.
• Develop and maintain data quality dashboards for executive leadership and operational teams.
• Conduct threshold reviews quarterly with domain teams.
• Lead root cause analysis (RCA) for high-priority DQ issues.
• Establish and manage a centralized DQ issue log with clear SLAs for remediation.
• Escalate systemic risks related to data quality.
• Act as the primary subject matter expert and advocate for data quality.
• Champion a culture of data accountability by developing training materials.
• Serve as a key contributor to the Data Council.

Qualifications

• Bachelor's degree in Computer Science, Information Systems, Business Analytics, or a related quantitative field.
• 7+ years of experience in a data-focused role, with at least 4+ years specifically dedicated to data quality, data governance, or data management.
• Proven experience designing and implementing a data quality framework from the ground up.
• Expert-level proficiency in SQL for complex data profiling, analysis, and validation.
• Hands-on experience with modern cloud data platforms (preferably GCP: BigQuery, Dataplex) and data quality/observability tools.
• Deep understanding of data quality dimensions.
• Exceptional analytical and problem-solving skills.
• Excellent communication and interpersonal skills.

Preferred Qualifications

• Master's degree in a relevant field.
• Experience in the financial services, lending, or fintech industry.
• Knowledge of scripting languages like Python for data analysis and automation.
• Experience with modern data stack technologies.
• Professional certification in data management or governance.
• Strong understanding of metadata management, data lineage, and data cataloging principles.

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