Director, Data Integrity

Title: Director, Data Integrity Reports to: Head of Data Location: Miami, FL (Hybrid) / US Remote

About the Company

At BMG Money, our mission is to provide access to affordable and responsible credit for underserved consumers facing unexpected expenses. We all share one vision— Redefining lending through technology, where underserved individuals can thrive financially through forward-thinking, responsible, and innovative financial solutions. Job Summary The Enterprise Chief Data Office (ECDO) is at the heart of BMG Money's strategy to become a fully data-driven organization. We are seeking a passionate and experienced Director, Data Integrity to lead this transformation. This individual will be a strategic and hands-on leader, responsible for establishing, maturing, and championing the enterprise-wide data integrity practice. Reporting directly to the Head of Data, you will be a key driver in ensuring the trust, accuracy, and reliability of the data that powers our analytics, business operations, and regulatory compliance. This is a unique opportunity to build and scale a unified function covering both data governance and data quality, embedding a culture of data accountability and excellence from the ground up.

Key Responsibilities

• Design, implement, and own the enterprise-wide data integrity framework, including policies, standards, and procedures aligned with business objectives and regulatory requirements (e.g., FCRA, GLBA).
• Define and own key quality indicators (KQIs) and metrics to measure the health of data across critical domains (e.g., Customer, Loan, Finance, Risk).
• Develop and execute a comprehensive roadmap for data governance and data quality initiatives, prioritizing efforts based on business impact, risk mitigation, and strategic value.
• Establish and support a federated data ownership model by working with domain-aligned Data Owners and Stewards to define, document, and maintain Critical Data Elements (CDEs).
• Lead the operationalization of the governance lifecycle, including metadata management, data classification, lineage, and usage policies.
• Facilitate Data Domain Councils and working sessions to drive accountability, resolve data issues, and ensure alignment across stakeholders.
• Lead the data certification process to formally validate datasets for use in regulatory reporting, advanced analytics, and critical operations.
• Design and deploy automated data quality (DQ) monitoring, alerting, and observability solutions using our cloud data platform (Google Cloud: BigQuery, Dataplex, Dataform) and visualization tools (Looker).
• Collaborate with Data Engineering to embed automated DQ checks directly into data pipelines and CI/CD processes ("quality-by-design").
• Develop and maintain data integrity dashboards for executive leadership and operational teams, providing transparent reporting on metrics, issue resolution status, and trend analysis.
• Lead root cause analysis (RCA) for high-priority data issues, coordinating with data engineering, operations, and business teams to drive resolution.
• Establish and manage a centralized data issue log with clear SLAs for remediation, distinguishing between tactical data fixes and strategic process or system improvements.
• Escalate systemic risks related to data integrity to the Head of Data, the Data Council, and other relevant leadership.
• Act as the primary subject matter expert and advocate for data governance and data quality across the organization.
• Champion a culture of data accountability by developing training materials, promoting best practices, and demonstrating the value of high-quality, trusted data.
• Serve as a key contributor to the Data Council, providing insights and support to drive data-driven decision-making.

Qualifications

• Bachelor's degree in Computer Science, Information Systems, Business Analytics, or a related quantitative field.
• 8+ years of experience in a data-focused role, with at least 4+ years specifically dedicated to data governance, data quality, or data management.
• Proven experience designing and implementing a data governance or data quality framework from the ground up in a complex business environment.
• 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 governance or quality/observability tools (e.g., Monte Carlo, Great Expectations, Soda, Collibra DQ).
• Deep understanding of data quality dimensions (e.g., Accuracy, Completeness, Timeliness, Validity) and common governance frameworks (e.g., DAMA-DMBOK).
• Exceptional analytical and problem-solving skills with the ability to conduct rigorous root cause analysis.
• Excellent communication and interpersonal skills, with a proven ability to influence and collaborate effectively with both technical and non-technical stakeholders.

Preferred Qualifications

• Master's degree in a relevant field.
• Experience in the financial services, lending, or fintech industry, with strong knowledge of regulatory requirements (e.g., FCRA, GLBA, CCPA).
• Knowledge of scripting languages like Python for data analysis and automation.
• Experience with modern data stack technologies (e.g., dbt, Snowflake, Fivetran) and data visualization tools like Looker or Tableau.
• Professional certification in data management or governance (e.g., Certified Data Management Professional - CDMP).
• Strong understanding of metadata management, data lineage, and data cataloging principles.

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