Data Governance Lead

As a Data Governance Lead at Chime, you will be responsible for defining and implementing data governance policies and ensuring best practices are followed for data quality and accessibility. You'll lead programs that advance our data governance goals, enhance our data catalog, and ensure compliance with relevant regulations. With your collaboration across various teams, you'll contribute to the company's data stewardship and governance automation initiatives.

To apply for the Data Governance Lead role at Chime, candidates should have over 7 years of professional experience, including a minimum of 3 years specifically in data governance or data management. A strong background in data cataloging tools, knowledge of privacy regulations like GDPR and CCPA, and experience with cloud data warehouses like Snowflake are essential. Effective communication skills and a collaborative mindset are also crucial for success in this role.

In the role of Data Governance Lead at Chime, you'll play a critical part in ensuring compliance with data privacy regulations such as CCPA and SOX. This involves defining and enforcing governance policies, conducting regular audits of data practices, and partnering with compliance teams to ensure that all data management processes align with regulatory standards, ultimately safeguarding our members' information.

At Chime, as a Data Governance Lead, you'll interact with various tools and technologies essential for data governance, such as data cataloging tools like Alation and Collibra. Expect to work with metadata management frameworks and data quality monitoring systems to enhance the discoverability and reliability of our data assets, making it easier for teams to access trustworthy data across the organization.

Chime fosters a culture of collaboration and innovation, particularly within the Data Governance team. As a Data Governance Lead, you'll be part of a diverse group of problem solvers dedicated to achieving our mission of helping individuals unlock their financial progress. The team values open feedback, bold ideas, and diverse perspectives, all while ensuring a supportive environment that empowers you to thrive and grow.

In your answer, explain that effective data governance is about ensuring data accuracy, compliance with regulations, and accessibility to authorized users. Highlight your understanding of frameworks and best practices that promote data quality and management across an organization.

Discuss specific data cataloging tools you've worked with, such as Alation or Collibra. Be prepared to explain how these tools facilitate data governance and enhance metadata management, emphasizing your hands-on experience in executing data governance initiatives.

Share examples of how you have implemented compliance measures in past roles. Explain your processes for auditing data practices and communicating with stakeholders to maintain adherence to regulations like CCPA and GDPR.

Discuss specific strategies such as implementing data quality metrics, regular auditing, and establishing data stewardship roles. Emphasize the importance of collaboration across teams to ensure consistent data quality standards.

Talk about the importance of collaboration and communication in leading cross-functional teams. Stress the need to align goals and establish regular check-ins to ensure that everyone is on the same page regarding governance objectives.

Acknowledge that data governance can face challenges such as conflicting priorities across departments, resistance to change, or difficulty in accessing reliable data. Share how you would address these challenges through effective communication, training, and continuous improvement initiatives.

Discuss metrics that can reflect the effectiveness of data governance, such as data quality scores, compliance audit results, and user satisfaction with data accessibility. Explain how you would create a dashboard to track these KPIs and report on the progress.

Provide a detailed explanation of a specific project you led, emphasizing your role, the challenges faced, and the outcomes. Highlight how collaboration and strategic planning contributed to the project's success.

Outline essential elements such as user engagement, comprehensive metadata collection, ongoing maintenance, and easy integration with existing tools. Share insights on how to educate users on effectively using the data catalog.

Emphasize the importance of translating technical jargon into relatable language. Discuss using visual aids, regular training sessions, and open Q&A formats to ensure understanding and buy-in from non-technical stakeholders.