AI Transformation Lead

Intapp

Confirmed live today High trust
Remote

Quick summary

Work type
Remote
Location
Charlotte, NC
Employment
Full-time
Posted
78 days ago
Freshness
Confirmed live today

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Similar $191k
$128k $245k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $161,812–$219,275.

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About Intapp

Intapp is a cloud software company providing industry-specific solutions for professional and financial services firms, including practice management, risk and compliance, and deal management platforms. Industry: Enterprise Software & Professional Services Technology

Intapp currently has 26 open roles on FindRole.

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At a glance

TL;DR · AI Transformation Lead

The AI Transformation Lead joins the Enterprise Transformation and AI Center of Excellence to turn frontier AI capabilities into production workflows for GTM and Finance teams. This hands-on delivery role involves leading the end-to-end path from concept to production for high-value agentic workflows. You will scope business problems, design integrations, and ship solutions into live systems while codifying successful patterns into reusable playbooks. Key responsibilities include managing UAT, identifying data governance risks, and providing feedback to the AI Advisory Council. You will utilize technologies including Celeste, Claude, M365, and OP4I. The role requires experience deploying LLM-based applications, translating technical concepts into business value, and navigating complex systems. You will solve workflow friction by balancing scope, speed, and quality within a structured governance model.

What you'll do

  • Lead end-to-end delivery of AI-driven workflows from initial intake and prioritization through build, UAT, and production rollout.
  • Embed with business units to identify and scope real workflow friction and translate ambiguous requests into production-ready solutions.
  • Design and build integrations and agentic workflows across platforms including OP4I, M365, Celeste, and Claude.
  • Codify successful deployment patterns into reusable playbooks, templates, and frameworks to scale across the enterprise.
  • Identify and flag data governance risks, including access control gaps and write-back conflicts, before production.
  • Develop an operating model to scale playbooks and agents across Business Transformation Managers and Operations teams.
  • Provide structured feedback on real-world usage and performance data to IT and the AI Advisory Council.

What we're looking for

  • Proven experience deploying AI/ML systems into production, including LLM-based applications.
  • Experience working directly with senior stakeholders to translate technical concepts into business value.
  • Demonstrated ability to scope and deliver complex systems in fast-moving, ambiguous environments.
  • A combination of engineering, consulting, and product thinking with strong systems and architectural judgment.
  • Excellent communication skills to simplify complexity and drive alignment across technical and non-technical audiences.
  • Comfort operating inside a structured governance model, balancing speed with enterprise-scale discipline.

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