Manager, AI Transformation – Advisory

Kroll•New York, NY

6h•Hybrid

About The Position

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. 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. We are outcome-driven: every initiative must tie to measurable impact on productivity, quality, risk, or revenue. As a Manager in the AI Transformation team, you will be a forward-deployed builder and problem solver. You will work closely with business stakeholders, data/engineering teams, and senior transformation leaders to: Decompose Kroll workflows into structured problems Identify AI leverage points Build practical prototypes and workflows Turn concepts into 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.

Requirements

2–4 years of experience in consulting, technology strategy, analytics, product/ops, or a related transformation role
Exposure to AI, automation, or data-driven process improvement initiatives
Strong structured problem-solving and analytical skills
Experience creating clear, executive-ready presentations and deliverables
Practical understanding of AI technologies and their business applications (e.g., generative AI, NLP, document automation, workflow tools)
Experience building prototypes or mock solutions using modern AI tools, APIs, or workflow automation platforms
Ability to translate business requirements and pain points into logical workflows, solution designs, and configuration requirements

Nice To Haves

Degree in engineering, computer science, data science, or related technical/quantitative field preferred
Experience in a consulting firm, internal transformation team, or high-growth technology environment
Familiarity with: Generative AI tools and APIs Workflow orchestration / automation platforms Basic scripting or no-/low-code development

Responsibilities

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
Support AI transformation workstreams across Kroll practices (valuation, investigations, cyber, restructuring, compliance, etc.)
Conduct structured analyses 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
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 performance and adoption metrics, and recommend refinements

Benefits

Healthcare Coverage: Comprehensive medical, dental, and vision plans.
Time Off and Leave Policies: Generous paid time off (PTO), paid company holidays, generous parental and family leave.
Protective Insurances: Life insurance, short- and long-term disability coverage, and accident protection.
Compensation and Rewards: Competitive salary structures, performance-based incentives, and merit-based compensation reviews.
Retirement Plans: 401(k) plans with company matching.

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