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# Manager, AI Transformation - Advisory

- **Company:** One Inc
- **Location:** United States
- **Experience:** Experienced
- **Salary:** $150,000.0 - $200,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Data Analysis, Business Software, Encodings, Automation of Marketing, Natural Language Processing, Workflow Management Systems, Scripting, Large Language Models, Generative AI, Information Technology, Data Analytics
- **Published:** September 17, 2026
- **Apply:** https://www.dice.com/job-detail/207a4845-1f80-46b7-ba3f-9f7174a205d6

## About the Role

* 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

Technical Capability

 * 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

Preferred Background

 * 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

## Description

* 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 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 .

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

 2. Engagement Support & Structured Problem Solving
 * 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

 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 performance and adoption metrics, and recommend refinements, * You help turn abstract "AI opportunities" into concrete workflows, tools, and pilots that real Kroll professionals actually use
 * You can walk a senior leader through a business case and sit with an analyst to refine prompts, workflows, or prototype UX
 * Core processes show visible improvements in speed, quality, or consistency, with clear metrics
 * Lessons learned from your projects are codified into playbooks and reusable assets for future transformations