AI Transformation Lead

Intapp

Confirmed live yesterday High trust
Remote

Quick summary

Work type
Remote
Location
Charlotte, NC
Posted
32 days ago
Freshness
Confirmed live yesterday

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Salary context

How this pay compares to similar roles

Similar $188k
$124k most similar roles pay here $237k

This listing doesn't post a salary. Most similar roles pay $156,325–$219,400.

Based on 239 similar postings.

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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 10 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 convert frontier AI capabilities into production workflows for internal GTM and Finance teams. This hands-on delivery role involves scoping business problems, designing agents or integrations, and shipping them into live systems like OP4i while tracking usage data to prove impact. You will manage the full lifecycle from concept to production, creating reusable playbooks and frameworks to accelerate future deployments. The role requires building workflows using Celeste, Claude, M365, and other integrated tools. Key responsibilities include identifying workflow friction within Sales and Support, managing data governance risks, and collaborating with the Applied AI team. You must possess experience deploying LLM-based applications, technical architectural judgment, and the ability to translate complex technical concepts into tangible business value for diverse stakeholders.

What you'll do

  • Lead end-to-end delivery of AI-driven workflows from initial intake and prioritization through build, UAT, and production rollout.
  • Identify and scope real workflow friction by embedding directly with internal teams like Sales, Services, and Support.
  • Design and build integrations and agentic workflows across platforms including OP4I, M365, Celeste, and Claude.
  • Translate ambiguous business requests into scoped, governed, and production-ready solutions with clear success metrics.
  • Codify successful deployment patterns into reusable playbooks, templates, and frameworks to scale across the organization.
  • Identify and mitigate data governance risks, including access control gaps and write-back conflicts, before production.
  • Provide structured feedback on real-world usage and performance data to IT and the AI Advisory Council.
  • Develop an operating model to scale playbooks and agents across Business Transformation and Operations teams.

What we're looking for

  • Proven experience deploying AI/ML systems into production, including LLM-based applications.
  • Strong understanding of how model behavior affects real business workflows.
  • Experience working directly with senior stakeholders to translate technical concepts into business value and drive adoption.
  • Demonstrated ability to scope and deliver complex systems in fast-moving, ambiguous environments.
  • Combination of engineering, consulting, and product thinking with strong systems and architectural judgment.
  • Excellent communication skills across both technical and non-technical audiences.
  • Comfort operating inside a structured governance model at enterprise scale.

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