Lead Analyst, Data Governance

This is a fully remote position, open to applicants in United States.

📋 Description

• Implement and operationalize enterprise data governance and knowledge management frameworks that align with established policies, standards, and industry models, such as DCAM and DAMA.

• Facilitate data stewardship initiatives, including the onboarding, training, and coordination of data owners and stewards across various business domains.

• Maintain and enhance metadata, catalog, and lineage functionalities, utilizing tools such as Collibra, business glossaries, and managing the lifecycle of critical data elements.

• Track and report on data quality metrics, service-level agreements, and observability processes.

• Coordinate the identification, escalation, and remediation tracking of data quality issues.

• Assist in the establishment of governance controls throughout data product lifecycles, incorporating checkpoints for data quality, privacy, and lineage.

• Aid in regulatory compliance efforts pertaining to CCPA, GLBA, ERISA, and SEC and FINRA requirements by maintaining documentation, evidence, and audit artifacts.

• Contribute to the governance of unstructured data and knowledge assets, focusing on taxonomy, ontology, and knowledge classification frameworks.

• Collaborate with Risk, Legal, and Technology teams to facilitate data usage controls, access governance, as well as responsible AI and GenAI initiatives.

• Prepare governance reports, scorecards, and KPI dashboards to monitor adoption, data quality, and risk mitigation.

⛳️ Requirements

• Bachelor’s degree or equivalent experience.

• 7 to 10 years of experience in data governance, data management, or related fields.

• Proficient understanding of regulatory frameworks, including CCPA, GLBA, ERISA, and SEC and FINRA records requirements.

• Experience with metadata management, data cataloging, and lineage tools, including Collibra or similar platforms.

• Familiarity with data quality frameworks, observability tools, and issue management processes.

• Knowledge of knowledge management concepts, including taxonomy and governance of unstructured data.

• Experience in the implementation of governance policies, standards, and controls in operational settings.

• Capability to analyze data, generate governance metrics, and create scorecards and dashboards.

• Proficient in SQL and familiar with data platforms such as Snowflake, including governance features like tagging and access controls.

• Strong communication and stakeholder management skills, with the ability to persuade cross-functional teams.

• Experience in supporting enterprise data governance programs in regulated sectors, preferably in financial services.

• Exposure to AI governance, model risk management, or responsible AI practices.

• Applicants must have authorization to work for any employer in the U.S.

• Reliable high-speed internet with a wired connection and a dedicated workspace with minimal disruptions; connectivity must be fiber, cable, or DSL.

🏝️ Benefits

• Medical, dental, vision, and life insurance.

• Retirement savings – 401(k) plan featuring generous company matching contributions (up to 6%), financial advisory services, potential company discretionary contributions, and a wide investment lineup.

• Tuition reimbursement of up to $5,250 per year.

• Business-casual work environment that allows for jeans.

• Generous paid time off upon hire – including a paid time off program, ten paid company holidays, and three floating holidays each calendar year.

• Paid volunteer time – 16 hours per calendar year.

• Leave of absence programs – including paid parental leave, paid short- and long-term disability, and Family and Medical Leave (FMLA).

• Business Resource Groups (BRGs) – BRGs foster inclusion and collaboration within our organization and the communities where we live, work, and play. Participation in BRGs is open to everyone.

• Flexible work environment.

• Additional necessary computer equipment will be provided.