Financial Services AI Governance Consulting Manager

Crowe

AI governance manager helping Crowe clients build responsible AI programs. Leading assessments, controls, regulatory alignment, delivery, sales enablement, and consultant development.

Posted 8/7/2026full-timeNew York City • Colorado, District of Columbia, Illinois, New York, Texas • 🇺🇸 United StatesMid-LevelSenior💰 $95,500 - $195,400 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in AI governance, including the ability to translate regulatory requirements into actionable policies and controls. Proven experience in managing client engagements, developing methodologies, and leading teams in compliance and risk management within the financial services sector.

Highest-signal resume keywords

AI Governance ExperienceNIST AI RMF ComplianceProject Management SkillsFinancial Services KnowledgeAIGP Certification

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI GovernancePolicy DevelopmentRisk ManagementCompliance ControlsModel DocumentationControl TestingGenerative AI Risk ControlsKPI DevelopmentCurrent-State AssessmentsEngagement Management

Soft Skills

Strong CommunicationNetworking AbilitiesTeam LeadershipCoaching and DevelopmentRelationship Management

Tools & Technologies

ServiceNowArcherCollibraAlationModel RegistriesML Platforms

Certifications & Qualifications

AIGP Certification

Industry Keywords

Financial ServicesRegulatory ComplianceRisk ManagementGovernanceAI Policy Landscape

Tech Stack

Tools & technologies

ServiceNow

About the role

Key responsibilities & impact

Lead client engagements to establish or mature AI governance programs across strategy, policy, controls, operating model, and metrics
Map AI governance practices to NIST AI RMF and ISO/IEC 42001 and translate requirements into controls, workflows, and guardrails
Plan and execute current-state assessments, model/system reviews, control testing, and readiness audits for AI and generative AI use cases
Deliver findings and prioritized roadmaps
Design operating rhythms for intake, approvals, model registries, risk scoring, human-in-the-loop processes, monitoring, and incident management
Help clients operationalize three-lines responsibilities with measurable KPIs
Qualify opportunities, shape solutions, statements of work and engagement letters, develop proposals and pricing, and contribute to pipeline reviews
Build client-ready collateral
Develop AI Governance methodologies, accelerators, control libraries, templates, and training
Incorporate standards and regulatory updates into playbooks
Publish insights, speak at webinars and events, and support marketing campaigns
Supervise, coach, and develop consultants
Manage engagement scope, timeline, budget, quality, and economics
Support recruiting
Collaborate across Cyber, Risk, Legal/Privacy, Security, Enterprise Risk Management, Model Risk Management, and Audit teams

Requirements

What you’ll need

3+ years of hands-on AI governance or Responsible AI experience in policy, controls, risk, compliance, or AI/ML assurance
5+ years in compliance, risk management, and/or related advisory roles with client-facing delivery and team leadership
Bachelor’s degree required
Financial Services industry experience and knowledge of regulatory, risk management, compliance, and governance environments applicable to financial institutions
Ability to translate regulatory and standards requirements, including NIST AI RMF and EU AI Act, into actionable policies, processes, and controls
Progressive responsibilities including supervising and reviewing others’ work
Project management experience, including managing simultaneous workstreams and responsibilities
Strong written and verbal communication and comprehension
Networking and relationship management abilities
Willingness to travel
Professional services or consulting experience strongly preferred
AIGP certification or equivalent AI governance, privacy, or risk credential preferred
Experience with generative AI risk controls and model documentation/testing practices preferred
Familiarity with GRC, data, and model tooling such as ServiceNow/Archer, Collibra/Alation, model registries, or ML platforms preferred
Experience coordinating across privacy, security, risk, and engineering functions preferred
Understanding of the U.S. federal/state AI policy landscape preferred
Must verify identity and eligibility to work in the United States
Crowe is not sponsoring work authorization

Benefits

Comp & perks

Comprehensive total rewards package
Flexible work with life moments
Career Coach meetings and career guidance
Inclusive culture valuing diversity
Career growth and leadership opportunities
Professional development and training opportunities
Equal employment opportunities
Applicant accommodations and assistance