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AI Transformation Lead

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Logo of Intapp

Intapp

1001 - 5000 employees

đŸ’Œ Consulting

⚖ Legal

☁ SaaS

💰 Private Equity Round on 2017-04

Consulting ‱ Legal ‱ SaaS

Intapp is a leading global provider of AI-powered cloud-based software solutions designed for professional and financial services firms. Their offering includes specialized solutions for industries such as accounting, consulting, investment banking, legal, private capital, and real estate. Intapp’s products help firms improve client relationships, optimize operations, manage compliance, and support collaboration and deal management through solutions like Intapp DealCloud, Compliance, and employee compliance management. With a focus on data security and seamless integration via Microsoft Azure, Intapp serves over 2,600 client firms worldwide, including top law firms and investment banking institutions, helping them leverage automation and data intelligence to drive growth.

📋 Description

‱ Lead end-to-end delivery of AI-driven workflows from intake and prioritization through build, UAT, and production rollout ‱ Embed with Sales, Services, Success & Support, and other teams to identify and scope workflow friction ‱ Partner with the Applied AI team to inform the internal Celeste workflow roadmap and share internal successes ‱ Design and build integrations and workflows across OP4I, M365, Celeste, Claude, Celeste Playbooks, Claude Skills/Plug-ins, and agentic workflows ‱ Balance scope, speed, and quality to protect delivery timelines and outcomes ‱ Translate ambiguous business requests into scoped, governed, production-ready solutions with clear owners and success metrics ‱ Codify successful patterns into reusable playbooks, templates, and frameworks ‱ Provide structured feedback on 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

🎯 Requirements

‱ 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 and translating technical concepts into business value ‱ Demonstrated ability to scope and deliver complex systems in fast-moving, ambiguous environments ‱ Strong judgment on risk and prioritization ‱ Combination of engineering, consulting, and product thinking ‱ Strong systems and architectural judgment ‱ Ownership mentality ‱ Excellent communication skills across technical and non-technical audiences ‱ Ability to simplify complexity and drive alignment ‱ Comfort operating inside a structured governance model while balancing speed with enterprise-scale discipline

đŸ–ïž Benefits

‱ Professional development opportunities ‱ Reimbursement for training and continuing education ‱ Modern, open work environment ‱ Complimentary lunches ‱ Fully stocked kitchens ‱ Comprehensive wellness programs ‱ Flexible time off programs ‱ Family-formation benefits ‱ Family-building support ‱ Paid volunteer time off ‱ Donation matching program

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