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Open nowPosted 4 days ago

Project Manager – CLM and AI Implementation

Execo23 open roles

Where
United States
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Your applicationOpen nowProject Manager – CLM and AI ImplementationExeco · United States

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The clock on this job

Early applications get read.

13.7% of postings close within 7 days. Measured by our own scanner across the market. Execo postings stay open a median of 5 days.

Share of postings closed within
  1. 2.3%1 day
  2. 4.8%3 days
  3. 13.7%7 days
  4. 22.1%14 days
  5. 37.6%30 days
  6. 59.1%60 days
This job: posted 4 days ago

Execo median: 5 days open

The posting

About the Role You will lead end-to-end implementations of CLM platforms and AI solutions for corporate legal, procurement and sales teams. You will own each project from discovery to go-live and adoption, keeping scope, timeline, budget and quality on track. Projects increasingly combine CLM with generative and agentic AI, such as AI contract review, intelligent intake and automated obligation tracking. You will make sure these are delivered with the right governance, testing and change management, coordinating delivery teams across the US, UK and India. Key Responsibilities Project Delivery Plan and run projects: Lead CLM and AI implementations through discovery, design, build, testing, deployment and hypercare. Control: Manage scope, schedule, budget, resourcing and change requests. Report: Run status meetings and steering committees, and give executives clear, honest reporting on progress and risk. Method: Apply Agile, Waterfall or hybrid approaches as each client and project requires. CLM Implementation Coordinate requirements and solution design for intake, templates, clause libraries, approval workflows, e-signature and repository. Manage integrations with enterprise systems such as Salesforce, SAP, Coupa, Workday, DocuSign and SSO/identity providers. Oversee legacy contract migration, including AI-assisted metadata extraction, data quality checks and reconciliation. Plan and track testing and go-live readiness. AI Implementation Scope and prioritize GenAI and agentic AI use cases with legal stakeholders, such as playbook-based review, intake agents and obligation extraction. Define acceptance criteria for AI output and run accuracy testing with human-in-the-loop review. Steer projects through AI governance, information security and privacy reviews with client IT, risk and legal teams. Stakeholders, Vendors and Adoption Manage relationships with General Counsel, legal operations, procurement, IT and security stakeholders. Coordinate CLM and AI vendors, system integrators and offshore delivery teams, holding them to plan and contract. Lead change management: training, communications, adoption tracking and benefits realization (cycle time, cost, user adoption). Required Qualifications Bachelor’s degree in business, information systems, law or a related field. 7+ years of project management, with 3+ years delivering CLM or legal technology projects. Working knowledge of contract processes (sell-side and buy-side) and how legal, procurement and sales teams interact. Strong written and verbal communication, including executive-level reporting and facilitation. Authorization to work in the United States. Preferred Skills and Tools CLM platforms: Icertis, Ironclad, Agiloft, DocuSign CLM, Conga, Sirion, Leah, Salesforce Contracts Legal and agentic AI: Harvey, Legora, Leah, Luminance, Microsoft Copilot / Copilot Studio Enterprise integrations: Salesforce, SAP / SAP Ariba, Coupa, Workday, DocuSign eSignature, Okta / Azure AD Project management tools: Jira, Smartsheet, MS Project, Asana, Confluence

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