Financial Services AI Governance Consulting Manager

Crowe•Washington DC, NY

3d•Onsite

About The Position

Consulting is a dynamic business focused on solving problems for our clients and serving our core markets through innovative solutions. As technology and AI continue to reshape the consulting landscape, we are looking for individuals who are curious, adaptable, and eager to learn. At Crowe, consultants are expected to build both technical and transferable skills, think critically, and use technology to solve real business problems. In this role, you will continuously learn, collaborate across teams, and explore how tools, including emerging AI capabilities, can improve efficiency, insights, and client outcomes. In management at Crowe, you play a pivotal role in leading teams, guiding project execution, and deepening client relationships. You are expected to contribute to account planning, identify opportunities to add value, and ensure high-quality delivery. As your responsibilities expand, you take on broader account ownership, balancing project leadership with growing involvement in client strategy and solution development. Success in this role comes from a growth mindset, strong communication skills, advanced critical thinking, and the ability to navigate new challenges with confidence. Crowe’s AI Governance Consulting team helps organizations build, assess, run, and audit responsible AI programs. We align AI practices with business goals, risk appetite, and evolving regulations and standards (e.g., NIST AI RMF 1.0, ISO/IEC 42001, EU AI Act), enabling clients to adopt AI confidently and safely. As an AI Governance Manager, you’ll lead client delivery, drive sales enablement, and shape our AI Governance offering. You will manage projects end-to-end, mentor teams, and collaborate across Crowe (Cyber, Risk, Legal/Privacy, Security, Enterprise Risk Management, Model Risk Management, and Audit) to bring integrated solutions to market.

Requirements

3+ years hands-on AI governance/Responsible AI experience (policy, controls, risk, compliance, or assurance of AI/ML systems).
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, with demonstrated knowledge of the regulatory, risk management, compliance, and governance environment applicable to financial institutions.
Demonstrated ability to translate regulatory/standard requirements (e.g., NIST AI RMF, EU AI Act) into actionable policies, processes, and controls.
Prior experience should include progressive responsibilities, including supervising and reviewing the work of others, and project management, including self-management of simultaneous work-streams and responsibilities.
Strong written and verbal communication and comprehension both formally and informally to our clients and our teams, in a variety of formats and settings, including in interviews, meetings, calls, e-mails, reports, process narratives, presentations, etc.
Networking and relationship management.
Willingness to travel.

Nice To Haves

Advanced degree in a relevant field (e.g., information systems, public policy, statistics, law) a plus.
Professional services/consulting experience strongly preferred, particularly experience serving Financial Services clients in risk, regulatory, technology, data, model risk, or AI governance-related engagements.
Certification: AIGP – Artificial Intelligence Governance Professional (IAPP) or equivalent credential in AI governance/privacy/risk (e.g., CIPP/CIPM/CIPT with AI coursework, ISO/IEC 42001 implementer/auditor).
Experience with genAI risk controls (prompt/data controls, evaluation, monitoring) and model documentation/testing practices.
Familiarity with GRC, data, and model tooling (e.g., ServiceNow/Archer, Collibra/Alation, model registries/ML platforms).
Experience coordinating across privacy, security, risk, and engineering functions; understanding of U.S. federal/state AI policy landscape (e.g., EO 14110 and subsequent developments).

Responsibilities

Lead engagements to stand up or mature AI governance programs across the lifecycle (strategy, policy, controls, operating model, metrics).
Map practices to frameworks such as NIST AI RMF and ISO/IEC 42001; translate requirements into practical controls, workflows, and guardrails.
Plan and execute current-state assessments, model/system reviews, control testing, and readiness audits for AI uses (including genAI) against policy and regulatory expectations (e.g., EU AI Act obligations/timelines).
Deliver clear findings and prioritized roadmaps.
Design operating rhythms (intake, review/approval, model registry, risk scoring, human-in-the-loop, monitoring, incident management) and help clients operationalize “three lines” responsibilities with measurable KPIs.
Partner with teams to qualify opportunities, shape solutions/SOW/ELs, develop proposals and pricing, and contribute to pipeline reviews.
Build client-ready collateral.
Evolve Crowe’s AI Governance methodologies, accelerators, control libraries, templates, and training.
Incorporate updates from standards/regulators into our playbooks (e.g., NIST’s GAI profile).
Publish insights, speak on webinars/events, and support marketing campaigns to grow brand presence.
Supervise, coach, and develop consultants; manage engagement economics (scope, timeline, budget, quality) and support recruiting.