Data Governance & Enablement Manager

United States·Miami LakesNormalmid

OtherEnablement Manager

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OtherEnablement Manager

~1 min read

→Develop, document, maintain, and enforce data and AI governance policies, standards, and controls
→Define and evaluate governance controls to ensure consistency, effectiveness, and auditability
→Develop and maintain governance KPIs, KRIs, and maturity scorecards
→Conduct maturity assessments and communicate findings and recommendations to leadership
→Produce gap assessments and remediation roadmaps
→Ensure alignment with lifecycle controls and regulatory expectations
→Support audit and regulatory inquiries by providing governance evidence and documentation
→Drive adoption of governance tools and best practices across the enterprise
→Adhere to applicable federal and state laws and regulatory guidance, including those related to financial services and anti-money laundering
→Identify and report suspicious activity

~1 min read

7+ years of experience in data governance, data management, or related disciplines
Experience implementing or operating within data governance frameworks and/or maturity models
Experience with data governance maturity frameworks (e.g., DCAM, DAMA-DMBOK)
Experience conducting assessments, audits, or capability evaluations
Experience defining and implementing governance metrics and performance frameworks
Experience supporting risk, compliance, or regulatory-driven initiatives
Experience with data cataloging tools such as Alation, Collibra, Informatica, or similar
Experience supporting AI/ML initiatives, advanced analytics, or model governance practices is preferred
Familiarity with Agile/DevOps methodologies and tools such as Jira and Confluence

Strong knowledge of enterprise data management and governance frameworks
Understanding of data as an asset principles and value measurement approaches
Familiarity with AI/ML lifecycle concepts, including model development, validation, deployment, and monitoring
Awareness of AI governance principles, including explainability, fairness, accountability, and transparency
Ability to design and implement scalable, measurable governance controls
Knowledge of data lifecycle management, metadata, lineage, and data quality processes
Familiarity with modern data architectures and platforms (e.g., AWS, Azure, Snowflake, Databricks)
Ability to translate governance concepts into quantifiable metrics and maturity models
Strong analytical, problem-solving, and organizational skills
Strong written and verbal communication skills, including the ability to present to senior leadership
Ability to work cross-functionally and influence stakeholders without direct authority
Working knowledge of SQL and relational databases is a plus