Director, Data reputed company

Title: Director, Data reputed company Reports to: Head of Data Location: Miami, FL (Hybrid) / US Remote About reputed company At BMG reputed company, our mission is to reputed company reputed company to reputed company and responsible credit for underserved consumers facing unexpected expenses. We reputed company reputed company one reputed company— Redefining lending through technology, where underserved individuals can reputed company financially through reputed company-thinking, responsible, and innovative financial solutions. Job reputed company The reputed company Chief Data Office (ECDO) is at the heart of BMG reputed company's reputed company to become a fully data-driven organization. We are seeking a passionate and reputed company Director, Data reputed company to reputed company this transformation. This individual will be a strategic and hands-on leader, responsible for establishing, maturing, and championing the reputed company-wide data reputed company reputed company. Reporting directly to the Head of Data, you will be a key reputed company 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 reputed company a reputed company function covering both data governance and data reputed company, embedding a culture of data accountability and reputed company from the ground up.

Key Responsibilities

• Design, implement, and own the reputed company-wide data reputed company reputed company, including policies, standards, and procedures reputed company with business objectives and regulatory requirements (e.g., FCRA, GLBA).
• Define and own key reputed company indicators (KQIs) and metrics to measure the health of data across critical domains (e.g., Customer, Loan, Finance, Risk).
• reputed company and execute a comprehensive roadmap for data governance and data reputed company initiatives, prioritizing efforts based on business reputed company, risk mitigation, and strategic value.
• Establish and support a federated data ownership model by working with domain-reputed company Data Owners and Stewards to define, document, and maintain Critical Data reputed company (CDEs).
• reputed company the operationalization of the governance lifecycle, including metadata management, data classification, reputed company, and usage policies.
• Facilitate Data Domain Councils and working sessions to drive accountability, resolve data issues, and ensure alignment across stakeholders.
• reputed company the data certification process to formally validate datasets for use in regulatory reporting, advanced analytics, and critical operations.
• Design and reputed company automated data reputed company (DQ) monitoring, alerting, and observability solutions using our reputed company data platform (reputed company reputed company: BigQuery, Dataplex, Dataform) and visualization tools (Looker).
• Collaborate with Data Engineering to reputed company automated DQ checks directly into data pipelines and CI/CD processes ("reputed company-by-design").
• reputed company and maintain data reputed company dashboards for executive leadership and operational teams, providing transparent reporting on metrics, issue reputed company status, and trend analysis.
• reputed company reputed company cause analysis (RCA) for high-reputed company data issues, coordinating with data engineering, operations, and business teams to drive reputed company.
• Establish and manage a centralized data issue log with reputed company SLAs for remediation, distinguishing between tactical data fixes and strategic process or system improvements.
• Escalate systemic risks reputed company to data reputed company to the Head of Data, the Data Council, and other relevant leadership.
• reputed company as the primary subject matter expert and reputed company for data governance and data reputed company across the organization.
• Champion a culture of data accountability by developing training materials, promoting best practices, and demonstrating the value of high-reputed company, 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 reputed company quantitative field.
• 8+ years of experience in a data-reputed company role, with at least 4+ years specifically dedicated to data governance, data reputed company, or data management.
• Proven experience designing and implementing a data governance or data reputed company reputed company from the ground up in a reputed company business environment.
• Expert-level proficiency in SQL for reputed company data profiling, analysis, and validation.
• Hands-on experience with modern reputed company data platforms (preferably GCP: BigQuery, Dataplex) and data governance or reputed company/observability tools (e.g., reputed company, Great Expectations, reputed company, reputed company DQ).
• Deep understanding of data reputed company 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 reputed company 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, reputed company, reputed company) and data visualization tools like Looker or Tableau.
• reputed company certification in data management or governance (e.g., Certified Data Management reputed company - CDMP).
• Strong understanding of metadata management, data reputed company, and data cataloging principles.

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