Data Governance & Enablement Manager
OtherEnablement Manager
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Quick Summary
Technical Tools
OtherEnablement Manager
Responsibilities
~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
Nice to Have
~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
- Certified Data Management Professional (CDMP) – DAMA
- DCAM (EDM Council or equivalent)
- CISA, CRISC, or similar certifications
- Familiarity with Model Risk Management frameworks (e.g., SR 11-7) is a plus
- 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
Location & Eligibility
Where is the job
Miami Lakes, United States
On-site at the office
Who can apply
US
About this job
- Who can apply
- United States
- Posted
- 50 days ago
Listing Details
- First seen
- September 25, 2026
- Last seen
- November 15, 2026
Posting Health
- Days active
- 50
- Repost count
- 0
- Trust Level
- 20%
- Scored at
- November 15, 2026
Signal breakdown
freshnesssource trustcontent trustemployer trust
External application
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