Manager, AI Risk & Validation

Manager, AI Risk & Validation

Our Deloitte Regulatory, Risk & Forensic team helps client leaders translate multifaceted risk and an evolving regulatory environment into defensible actions that strengthen, protect, and transform their organizations.

Join our team and use advanced data, AI, and emerging technologies with industry insights to help clients bring clarity from complexity and accelerate their path to value creation.

Recruiting for this role ends on December 15, 2026

Work you'll do

As a Manager Risk and Forensic on the Regulatory & Financial Risk team, you will be responsible for:


* Leading the design, build, implementation, and validation of artificial intelligence (AI), generative AI, and agentic AI solutions aligned to client business, risk, and regulatory objectives


* Managing project teams and workstreams that develop proofs of concept, experiments, and production-ready applications using machine learning, natural language processing, image analysis, time series analysis, graph-based methods, and retrieval-augmented generation techniques


* Overseeing end-to-end validation of AI solutions, including data review, design assessment, testing strategy, benchmarking, sensitivity analysis, documentation, traceability, monitoring, and production-readiness evaluation


* Assessing trustworthiness and control considerations such as hallucination risk, grounding, bias, explainability, robustness, privacy, security, guardrails, escalation paths, and audit logging


* Translating technical findings and validation results into decision-ready recommendations for client stakeholders and engagement leadership


* Serving as a day-to-day client contact, managing stakeholder communications, identifying delivery risks and dependencies, and escalating issues as appropriate


* Reviewing and coaching the work of consultants and senior consultants to strengthen technical quality, delivery discipline, documentation, and responsible AI practices


* Collaborating with Deloitte specialists across risk, regulatory, technology, data science, and model validation disciplines to shape solution design, validation approaches, and delivery outcomes


* Supporting engagement management and practice development activities, including work planning, status reporting, quality review, proposal support, and development of reusable methods or accelerators

The successful candidate would possess these skills:


* Ability to work independently and collaborate as part of a team


* Effective written and verbal communication skills


* Meticulous attention to detail and quality of work product


* Ability to build and sustain professional relationships


* Ability to lead projects or workstreams


* Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment


* Strong interpersonal skills and professional demeanor


* Ability to meet deadlines


* Ability to mentor and provide clear...