AI Governance Manager

Madison-Davis, LLC; New York (NY); On-site; USD 180,000 - 240,000; Full time

Job summary

A leading financial-services organization is seeking an experienced AI Governance Lead to establish the framework, controls, operating model, and processes governing AI adoption across the enterprise.

The role is hands-on, requiring deep knowledge of AI/ML lifecycles, risk management, and Responsible AI, with cross-functional collaboration across technology, data, business, legal, risk, compliance, cybersecurity, and operations teams.

Qualifications

• 8+ years of experience across AI governance, model risk, data governance, enterprise risk, or related disciplines.
• Experience operationalizing governance rather than at policy level.
• Strong understanding of AI/ML lifecycle management and Responsible AI.
• Experience in regulated banking/financial services environments.

Responsibilities

• Design and operationalize enterprise AI governance frameworks, standards, controls, and processes.
• Establish governance for AI intake, inventory, risk assessment, technology review, approvals, monitoring, remediation, and reporting.
• Govern AI initiatives across the lifecycle from ideation to production and retirement.
• Develop controls around data quality, privacy, lineage, explainability, human oversight, auditability, access, and resilience.
• Partner with technology, data, business, legal, risk, compliance, cybersecurity, audit, and operations teams.
• Establish governance processes for Generative AI, LLM, RAG, and advanced-analytics solutions.
• Develop executive reporting around AI adoption, value, risk exposure, control effectiveness, and remediation.
• Translate policies and regulatory expectations into practical procedures, controls, evidence requirements, and implementation standards.

Skills

AI governance

Risk management

Stakeholder management

Executive communication

Regulated environment awareness

Education

Bachelor's degree in a relevant field

Tools

Microsoft Purview

Collibra

Alation

Informatica

MLflow

Model registries

AI monitoring platforms

Job description

A large financial-services organization is building out its enterprise approach to AI governance and is seeking an experienced AI Governance Lead to help establish the framework, controls, operating model, and processes that will govern AI adoption across the organization.

This is a hands‑on governance leadership opportunity for someone who understands both enterprise risk and modern AI environments. You will help move AI governance from an emerging capability into a repeatable operating model covering AI/ML, Generative AI, LLMs, RAG, intelligent automation, and advanced analytics.

Responsibilities

• Design and operationalize enterprise AI governance frameworks, standards, controls, and processes.
• Establish governance for AI intake, inventory, risk assessment, technology review, approvals, monitoring, remediation, and reporting.
• Govern AI initiatives across the lifecycle from ideation and proof of concept through production and retirement.
• Develop controls around data quality, privacy, lineage, explainability, human oversight, auditability, access, and operational resilience.
• Partner with technology, data, business, legal, risk, compliance, cybersecurity, audit, and operations teams.
• Establish governance processes for Generative AI, LLM, RAG, and advanced-analytics solutions.
• Develop executive reporting around AI adoption, value, risk exposure, control effectiveness, and remediation.
• Translate policies and regulatory expectations into practical procedures, controls, evidence requirements, and implementation standards.

Role Requirements

• 8+ years of experience across AI governance, model risk, data governance, enterprise risk, compliance, data management, or related disciplines.
• Experience operationalizing governance rather than working exclusively at the policy level.
• Strong understanding of AI/ML lifecycle management and Responsible AI.
• Understanding of model risk, data risk, privacy, explainability, bias, human oversight, and operational risk.
• Experience within banking, financial services, insurance, fintech, or another highly regulated environment.
• Experience partnering across technology and control organizations.
• Strong executive communication and stakeholder‑management capabilities.
• Understanding of modern AI, cloud, data, and governance environments.
• Bachelor’s degree in a relevant technical, risk, data, or business discipline.

Nice to Have

• Banking regulatory experience including SR 11-7, BCBS 239, CCAR, CECL, AML/BSA, or related standards.
• Experience governing Generative AI, LLM, and RAG solutions.
• Familiarity with Microsoft Purview, Collibra, Alation, Informatica, MLflow, model registries, or AI monitoring platforms.
• Relevant data, governance, risk, or AI certifications.