Data Owner Lead

What you'll do

• Implement strategic plans to deliver data solutions and products that support business operations.
• Identify, document, and classify critical data within the product using metadata for better control.
• Define requirements for new data products and coordinate with engineering teams to deploy production-ready solutions.
• Manage data risk by developing processes for protection, retention, storage, and quality monitoring.
• Perform data testing and validation using SQL to ensure accuracy, completeness, and integrity across datasets.
• Govern the integration of curated datasets into analytics platforms for advanced analytics and machine learning use cases.
• Resolve data issues through triage, root-cause analysis, and the implementation of preventative controls.
• Leverage AI/ML and LLM tools to automate governance activities like metadata drafting and quality rule generation.

What we're looking for

• Bachelor's degree required; Master's degree preferred.
• 6+ years of industry experience in a data-related field.
• 5+ years of experience in data management or governance, including work with cloud platforms (AWS, GCP, or Azure) and big data technologies like Hadoop or Spark.
• Advanced SQL proficiency for data exploration, profiling, reconciliation, and root-cause analysis across large datasets.
• Hands-on experience designing and executing data testing validation frameworks with documented pass/fail criteria.
• Experience managing multiple workstreams, developing roadmaps, and applying agile practices to translate requirements into technical delivery plans.
• Proven track record in data governance, risk reduction, and leading initiatives that improve business insights while maintaining standards.
• Knowledge of consumer banking products, financial services environments, or AI/ML use cases in a data ownership capacity (preferred).