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Contract Ai Validation Jobs (NOW HIRING)

Epiq

Manager, Contracts AI

New York, NY · On-site +1

$97K - $130K/yr

... validate their work. * Develop and implement AI-powered models and algorithms to enhance contract drafting, negotiation insights, and data-driven recommendations. * Partner with data scientists and ...

Epiq

Manager, Contracts AI

New York, NY · On-site

$97K - $130K/yr

The ideal candidate willleveragetheirexpertisein CLM, contract law, and technology to ... Testing, Validation & Change Management * Define and lead testing protocols tovalidateAI/GenAI ...

Biosimilar Sciences PR LLC

PR · On-site

... contract personnel , and serving as the validation subject matter expert during regulatory ... The Validation Manager is also expected to actively and continuously leverage AI-enabled tools and ...

Apply Early

Mercor

Managed Care Contract Specialist

New York, NY · Remote

$85/hr

Evaluate AI-generated underpayment detection alerts, contract compliance outputs, and payment ... validate claim payments. * Conduct contract modeling and payment reconciliation to identify ...

New

Apply Early

August Bioservices

Validation Engineer

Nashville, TN · On-site

Provide training for contract validation personnel; * Review critical equipment drawings from a ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

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How much do contract ai validation jobs pay per hour?

As of Jul 3, 2026, the average hourly pay for contract ai validation in the United States is $52.00, according to ZipRecruiter salary data. Most workers in this role earn between $39.42 and $63.22 per hour, depending on experience, location, and employer.

What is the difference between Contract Ai Validation vs Data Analyst?

AspectContract Ai ValidationData Analyst
Required CredentialsTypically certifications in AI, machine learning, or data science; sometimes a degree in computer science or related fieldsBachelor's or master's in statistics, data science, or related fields; certifications like Microsoft Data Analyst or Tableau are common
Work EnvironmentProject-based, often remote, focused on AI model validation and testingOffice or remote, analyzing data sets, creating reports, and providing insights
Industry UsageUsed in AI development, tech companies, and industries deploying AI solutionsUsed across finance, healthcare, marketing, and other sectors for data-driven decision making

Contract Ai Validation professionals focus on testing and validating AI models, ensuring accuracy and compliance, often requiring AI-specific certifications. Data Analysts interpret data to inform business decisions, using statistical tools and data visualization. While both roles handle data, Contract Ai Validation is specialized in AI model validation, whereas Data Analysts work broadly with data analysis and reporting.

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Manager of Software Delivery - Contract AI

Manager of Software Delivery - Contract AI

McKinsey & Company

Chicago, IL • On-site

Full-time

Posted 29 days ago

McKinsey & Company rating

8.5

Company rating: 8.5 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

15th of 58 rated business consultants

Job description

Job Summary:
McKinsey & Company is a global management consulting firm, and they are seeking a Manager of Software Delivery to lead their Contract AI initiatives. This role involves overseeing the delivery of AI-driven solutions for automated contract compliance, managing a team, and ensuring successful client engagements from start to finish.
Responsibilities:
• lead and coordinate a team of Software Delivery Specialists and client-embedded engineers
• assign work, track progress, resolve cross-team dependencies, and ensure the team is unblocked and performing
• be the client's primary technical contact
• build trusted relationships with client procurement and technology leadership
• communicate delivery status, surface risks proactively, and adapt plans when business requirements evolve
• configure and deploy the platform
• work hands-on with the Contract AI platform to configure extractors, define compliance cases, integrate with client ERP and procurement systems (SAP, Ariba), and validate accuracy of findings before each release
• drive value realization
• own the value capture tracking process — from leakage identification through client-validated recovery actions
• ensure clients realize measurable return on investment within the engagement timeline
• design and deliver structured training programs
• facilitate office-hours support
• execute the Build-Operate-Transfer handoff plan so the client team can operate the platform independently after the engagement
• contribute to platform reuse
• feed delivery learnings back into the product team — new compliance case patterns, extractor configurations, and integration templates that reduce setup time for future engagements
Qualifications:
Required:
• 8+ years of experience in software delivery, technical project management, or engineering management — with a track record of shipping production software on time in a client-facing context.
• Strong technical foundation: ability to understand and reason about the Contract AI tech stack (Python, C#/.NET, Azure, Generative AI pipelines) — you do not need to write production code daily, but you must be able to triage issues, assess technical risk, and have credible technical conversations with senior engineers and client architects
• Experience leading agile delivery teams: sprint ceremonies (planning, stand-ups, reviews, retros), backlog management, velocity tracking, and dependency resolution
• Understanding of Generative AI and agentic systems sufficient to configure, test, and validate AI-powered extraction and compliance workflows
• Demonstrated ability to manage client relationships in a consulting or managed-service context: stakeholder communication, expectation management, escalation handling
• Hands-on experience with Azure cloud environments: ability to read and reason about cloud infrastructure, deployment pipelines (Azure DevOps), and monitoring dashboards
• Experience with enterprise system integrations: SAP, Ariba, ERP data feeds, or similar procurement and accounts-payable platforms is a strong plus
• Willingness to travel 40–60% of the time to client sites in the United States and internationally
• Strong written and verbal communication in English; ability to present delivery status and technical findings to non-technical client executives
Preferred:
• Prior experience deploying enterprise AI or analytics platforms in a Build-Operate-Transfer or managed-service delivery model
• Procurement, supply chain, or contract management domain knowledge
• Experience with change management and training delivery for enterprise software adoption and familiarity with value capture tracking methodologies and ROI reporting
Company:
McKinsey & Company is a global management consulting firm. We are the trusted advisor to the world's leading businesses, governments, and institutions. Founded in 2014, the company is headquartered in New York, USA, with a team of 10001+ employees. The company is currently Late Stage.

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