Manager, AI Transformation – Advisory

Kroll is the leading independent provider of risk and financial advisory solutions. Across valuation, investigations, cyber, restructuring, regulatory compliance, and corporate finance, we help clients navigate complex, high-stakes situations. AI is reshaping how professional services are delivered. At Kroll, AI Transformation is focused on re-architecting our core workflows, not running experiments. We embed AI into the way our professionals work to improve quality, accelerate delivery, and unlock new capabilities—while maintaining the independence, rigor, and defensibility that define our brand. Kroll AI Transformation The AI Transformation team partners with practice leaders across Kroll to redesign end-to-end workflows and build AI-enabled tools that our professionals use every day. Our work spans: Mapping and redesigning core service delivery processes Embedding generative AI, automation, and analytics into workflows Reducing cycle times and manual effort in repeatable activities Standardizing data capture, knowledge reuse, and review frameworks Building internal tools and assistive applications for practitioners Supporting governance, risk, and control frameworks for AI usage Driving change management and adoption across practices We are outcome-driven: every initiative must tie to measurable impact on productivity, quality, risk, or revenue. As a Manager in [... source excerpt omitted ...] o usable tools and process changes This is a hands-on role for someone who is equally comfortable in structured analysis, workflow design, and lightweight build/prototyping. How You Will Contribute; 1. Forward-Deployed Build & Prototyping Translate prioritized workflow pain points into AI-enabled concepts, prototypes, and proof-of-concepts Build mock-ups, pilots, and workflow automations (e.g., using LLMs, orchestration tools, or low-code platforms) to demonstrate feasibility Iterate with practitioners to refine solutions based on real usage and feedback Partner with internal technology teams and vendors to transition prototypes into more robust solutions where appropriate [... source excerpt omitted ...] es of current workflows to identify automation and augmentation opportunities Help quantify impact (time saved, error reduction, quality uplift) and build business cases Develop client- and executive-ready materials, presentations, and recommendations Participate in workshops, stakeholder interviews, and working sessions with practice leaders and power users 3. Execution & Implementation Support Contribute to transformation plans, milestones, and workstream coordination Help define target-state workflows and standard operating procedures for AI-enabled processes Support rollout activities: user training, documentation, playbooks, FAQs, and feedback loops Track early per