Financial Services AI Governance Consulting Manager

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.

At Crowe, you can build a meaningful and rewarding career. With real flexibility to balance work with life moments, you're trusted to deliver results and make an impact. We embrace you for who you are, care for your well-being, and nurture your career.

Everyone has equitable access to opportunities for growth and leadership. Over our 80-year history, delivering excellent service through innovation has been core to our DNA across our audit, tax, and consulting teams.

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.

- Client delivery & program build: 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. - Assessment & assurance: 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. - Run-state operations: 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. - Sales enablement: Partner with teams to qualify opportunities, shape solutions/SOW/ELs, develop proposals and pricing, and contribute to pipeline reviews.

Build client-ready collateral. - Offering development: 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). - Thought leadership: Publish insights, speak on webinars/events, and support marketing campaigns to grow brand presence. - People leadership: Supervise, coach, and develop consultants; manage engagement economics (scope, timeline, budget, quality) and support recruiting.

- 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; advanced degree in a relevant field (e.g., information systems, public policy, statistics, law) a plus. - 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.

- 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).

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The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled.

At Crowe, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $95,500.00 - $195,400.00 per year.