Responsibilities
- Oversee the data governance program, identify improvement areas, and implement best practices to enhance data quality, integrity, and security.
- Develop and implement data quality standards and monitoring processes, including establishing data quality metrics and thresholds.
- Assist in managing the data issue lifecycle, including tracking and supporting remediation efforts.
- Manage the data governance platform (Atlan) and serve as the primary subject matter expert.
- Assist in data classification efforts, including identifying and categorizing sensitive data and critical data elements.
- Manage external data requests, including regulatory inquiries, ensuring compliance with banking regulations.
- Monitor and report on key data governance metrics and KPIs, providing insights and recommendations to senior management.
- Lead data governance meetings and workshops, facilitating discussions and decision-making to drive the data governance program forward.
Requirements
- Bachelor’s degree required.
- 4–7 years of experience in data governance, data management, data quality, or data analytics.
- Hands-on experience implementing or supporting data quality and governance practices.
- Experience managing data classification, access controls, and external data requests.
- Experience working with data pipelines, reporting systems, or analytical datasets.
- Experience writing, editing, or reviewing technical documentation for regulatory or banking contexts.
- Strong attention to detail, with a focus on accuracy, completeness, and consistency in data governance processes and controls.
- Ability to work independently on defined tasks and contribute to team objectives.
- Strong problem-solving skills and comfort working in structured, detail-oriented environments.
- Working knowledge of data governance, data management, and data quality frameworks.
- Experience supporting the implementation of data controls within data pipelines and reporting systems.
- Advanced proficiency in SQL, Python, or other data query and analysis tools.
- Proficiency with business intelligence and data visualization tools such as Looker, Power BI, or Tableau.
- Experience with database design, including understanding complex data schemas and data extraction.
- Familiarity with data lineage, metadata management, and data modeling concepts.
- Ability to define and implement data quality rules and validation checks.
- Understanding of data access principles, including role-based access and data classification.
- Ability to document data processes and controls clearly and in a structured way.
Nice to Have
- Advanced degrees or certifications in data analytics or governance preferred.
- You've kept up to date with the proliferation of blockchain and crypto innovations.
- You were emotionally moved by the soundtrack to Hamilton, which chronicles the founding of a new financial system.
