AI Transformation Lead

Role Description

Intapp's Enterprise Transformation and AI Center of Excellence is responsible for turning frontier AI capabilities, Celeste and Claude, into production workflows that our own GTM and Finance teams rely on every day. The AI Transformation Lead leads that work end to end:

• Scoping the business problem
• Designing the agent or integration
• Shipping it into a live system such as OP4i
• Proving out the impact with real usage data

This is a hands-on delivery role, not an evangelism or training function. You will own the full path from concept to production for our highest-value agentic workflows, working inside a defined governance model that includes:

• Structured prioritization
• User Acceptance Testing (UAT)
• Change management

You will also be responsible for turning what you learn into reusable playbooks and frameworks that make the next deployment faster than the last.

You'll work closely with:

• Business Transformation Managers
• Data Quality Manager
• Operations
• G&A
• IT
• Applied AI

You'll have a direct role on the AI Advisory Council that sets investment and prioritization decisions for the enterprise AI program.

What You Will Do

• Lead end-to-end delivery of AI-driven workflows, from intake and prioritization through build, UAT, and production rollout
• Embed directly with Sales, Services, Success & Support, etc. to identify and scope real workflow friction
• Work directly with Applied AI team to bring client successes and learnings to inform the internal Celeste workflow roadmap
• Design and build integrations & workflows across OP4I, M365, Celeste, Claude, etc.
• Balance trade-offs across scope, speed, and quality to protect delivery timelines and outcomes
• Translate ambiguous business requests into scoped, governed, production-ready solutions with a clear owner and success metric
• Codify successful patterns into reusable playbooks, templates, and frameworks that scale beyond a single deployment
• Provide structured feedback on real-world usage and performance data to IT and the AI Advisory Council
• Identify and flag data governance risks, including access control gaps and write-back conflicts
• Develop an operating model to scale Playbooks and agents across Business Transformation Managers and Operations teams

What You Will Need

• Proven experience deploying AI/ML systems into production, including LLM-based applications
• Experience working directly with senior stakeholders
• Demonstrated ability to scope and deliver complex systems in fast-moving, ambiguous environments
• A combination of engineering, consulting, and product thinking
• Excellent communication skills across technical and non-technical audiences
• Comfort operating inside a structured governance model

Benefits

• Professional development opportunities supported by a community of experienced professionals
• Reimbursement for training and continuing education
• Modern, open offices designed to inspire creativity and collaboration
• Complimentary lunches and fully stocked kitchens
• Comprehensive wellness and flexible time off programs
• Family-formation benefits and support during your family-building journey
• Paid volunteer time off and a donation matching program