Manager AI Enablement

Manatt, Phelps & Phillips, LLP•Washington, DC

7d•$130,000 - $170,000

About The Position

Manatt, Phelps & Phillips, LLP is seeking a Manager of AI Enablement to support and build the responsible development, deployment, and continuous improvement of artificial intelligence tools used across their law firm and consulting practices. This role will focus on training, refining, and validating AI systems, including generative AI and legal/consulting-specific models, to ensure accuracy, ethical use, regulatory compliance, and alignment with professional standards. The Manager will design and deliver learning programs to help teams understand, use, and benefit from AI in their daily workflows, working closely with Information Technology and Application Training to ensure capability growth alongside technology. The ideal candidate will have a strong understanding of AI concepts, excellent analytical and communication skills, and experience in or alongside legal, consulting, or other regulated professional services environments. This role reports to the Chief Information Officer and partners closely with the Firm’s Application Training Department.

Requirements

5+ years of experience in AI training, data annotation, model evaluation, knowledge management, learning & development, or a closely related field.
Genuine technical fluency with AI tools and concepts (prompt engineering, LLMs, model evaluation).
Passion for helping people learn and adopt new technology.
Proven experience designing and delivering training or enablement programs, ideally in a digital transformation, technology adoption, or professional services context.
Exceptional communication skills: ability to explain complex AI concepts clearly and engagingly to a wide range of audiences, both verbally and in writing.
Experience working with or alongside legal, consulting, financial services, or other regulated professional environments.
Strong project and process management skills with a consistent ability to meet deadlines and manage multiple concurrent priorities.
Extreme attention to detail, strong professional judgment, and an unwavering commitment to confidentiality.
Proficiency with the Microsoft Office suite (Word, Excel, PowerPoint).
Working familiarity with Microsoft 365 AI features.
A collaborative, can-do spirit.

Nice To Haves

Direct experience in a law firm, consulting firm, or other regulated professional services environment.
Hands-on familiarity with tools such as Harvey, iManage, Microsoft Copilot, Westlaw AI, or similar legal/consulting AI platforms.
Experience with generative AI, large language models (LLMs), prompt engineering, and AI evaluation frameworks.
Understanding of legal, compliance, or risk management concepts.
Exposure to AI governance, responsible AI frameworks, or ethics-in-AI initiatives.
Experience collaborating with both highly technical and non-technical stakeholders simultaneously.
Bachelor's degree in Computer Science, Data Science, Information Systems, Law, Business, or a related discipline — or equivalent practical experience.

Responsibilities

Serve as the primary day-to-day resource for AI adoption across the Firm, providing group-led sessions and one-on-one support.
Design and deliver enablement programs to build practical AI confidence across all audiences.
Lead AI roadshows, thought-leadership sessions, lunch-and-learns, and hands-on workshops.
Create and curate demos, use-case showcases, and real-world success stories.
Partner closely with the Application Training Department to ensure enablement programs are coordinated, consistent, and amplified.
Continuously measure training effectiveness, adoption rates, and learner confidence, and refine content and formats.
Develop deep working knowledge of the Firm's AI tool ecosystem.
Test AI systems for reliability, consistency, and practical usability.
Identify gaps, inaccuracies, or bias in AI outputs and recommend improvements.
Act as a liaison between end users and the AI Solutions Architect, AI Engineers, and Data Engineering team.
Monitor AI performance metrics and user feedback to drive ongoing enhancements.
Stay current on emerging AI capabilities, risks, and best practices.
Review AI-generated content for accuracy, clarity, tone, and alignment with professional standards.
Advise IT leadership when AI output deviates from expected quality and work with subject matter experts to validate and improve results.
Develop and curate high-quality prompts, training data, and evaluation criteria.
Apply ethical AI principles, confidentiality requirements, and data privacy standards.
Help ensure AI use complies with applicable laws, professional responsibility rules, and internal Firm policies.
Document training methodologies, decisions, and controls.
Partner with IT, Application Training, Research Services, Knowledge Management, and other Firm departments to integrate AI tools.
Translate technical AI concepts into clear, practical, jargon-free guidance.
Build strong relationships across the Firm.