Director, Data Management – Governance

This is a fully remote position, open to applicants in North Carolina.

📋 Description

• Lead the data management, quality, governance, and stewardship initiatives at Live Oak Bank.

• Foster relationships with business leaders to align the data management strategy with the overall business objectives.

• Address intricate data challenges and pinpoint process enhancements that elevate data quality from the source.

• Collaborate with the Chief Data & Analytics Officer and the Data & Analytics leadership on prioritizing investments.

• Direct the data quality initiative, broaden monitoring coverage, minimize outstanding exceptions, and cultivate trust in data.

• Oversee metadata management, which includes maintaining the business glossary, classification, and lineage.

• Enhance the semantic layer and create a unified data language across both business and technical teams.

• Establish data foundations for AI and autonomous systems.

• Manage the partnership with Monte Carlo, Live Oak's data quality monitoring solution.

• Spearhead the Data Stewardship program, assisting stewards from various business domains and expanding the stewardship community.

• Integrate data quality checks and standards into everyday business operations.

• Evolve data governance policies, standards, and processes as the bank's and regulatory requirements change.

• Represent data governance in bank-wide vendor management, vendor assessments, and third-party risk initiatives.

• Collaborate with Information Security, Compliance, Risk, Internal Audit, and external regulators as needed.

• Lead, mentor, and develop the data management, quality, and governance team.

⛳️ Requirements

• 8+ years of experience in data management, data quality, data governance, or related disciplines.

• 3+ years of experience in a leadership role.

• Strong experience in business partnerships, translating business strategies and operational requirements into data results.

• Practical experience with data quality methodologies, tools, and operational quality enhancements.

• Background in leading a data stewardship or similar cross-functional data community.

• Experience in designing and executing data governance programs that align with risk and regulatory frameworks.

• Proficient knowledge of Databricks, Unity Catalog, dbt, Fivetran, and cloud-based data warehouses.

• Excellent communication skills with business subject matter experts, Data Stewards, technical collaborators, and regulators.

• Comfort in a player-coach role.

• Preferred: Experience in AI-related data governance.

• Preferred: Background in banking or regulated financial services.

• Preferred: Experience with data retention programs.

• Preferred: Familiarity with data quality monitoring tools like Monte Carlo, Bigeye, Anomalo, or similar.

• Preferred: Knowledge of data catalog tools such as Unity Catalog, Alation, Atlan, or Collibra, along with metadata management strategies.

• Preferred: Exposure to model risk management or SR 11-7.

• Preferred: Understanding of third-party risk management processes in the financial sector.

• Preferred: Experience supporting Data Science or Machine Learning teams.

🏝️ Benefits

• Annual bonuses.

• Long-term incentives.

• Paid sick leave, including at least the minimum required in applicable states.

• Reasonable accommodation during the application/interview process.