AI Model Delivery Lead

Accenture

Confirmed live yesterday High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Charlotte, NC
Employment
Full-time
Posted
41 days ago
Freshness
Confirmed live yesterday

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Similar $213k
$151k $274k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $174,600–$250,696.

Based on 240 similar postings.

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About Accenture

Accenture is a leading global professional services company specializing in IT, strategy, consulting, and operations, with a strong focus on digital transformation, cloud computing, and artificial intelligence.

Accenture currently has 174 open roles on FindRole.

Listed pay typically runs $94,400–$266,300 across 128 roles with salary data.

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At a glance

TL;DR · AI Model Delivery Lead

The AI Model Delivery Lead joins the Accenture Flex team to lead model governance and validation readiness activities across the AI/ML model lifecycle. The role involves coordinating model documentation, evidence collection, and findings remediation while partnering with Data Scientists, Risk, Compliance, and Technology teams. Key responsibilities include ensuring models are audit, MRM, and production ready by managing monitoring, testing, and explainability requirements. The position requires expertise in model validation processes, governance frameworks, and regulatory requirements, specifically within highly regulated industries like financial services. Candidates should possess skills in Agile delivery, stakeholder management, and project coordination. Preferred experience includes Conversational AI, Generative AI, virtual assistants, and digital platform technologies, with a focus on bias testing, model monitoring practices, and preparing models for formal regulatory review or audit.

What you'll do

  • Lead model governance and validation readiness activities across the AI/ML model lifecycle.
  • Coordinate model documentation, evidence collection, and validation support.
  • Manage the remediation of findings to ensure regulatory compliance.
  • Partner with Data Science, Risk, and Compliance teams to meet governance requirements.
  • Ensure models are audit-ready and production-ready through testing and monitoring.
  • Implement explainability requirements for AI/ML models.

What we're looking for

  • 4+ years of experience supporting AI/ML model development, model governance, or model risk management.
  • Knowledge of model validation processes, governance frameworks, and regulatory requirements.
  • Strong stakeholder management, project coordination, and Agile delivery experience.
  • Experience with Conversational AI, Generative AI, virtual assistants, or digital platform technologies (preferred).
  • Understanding of AI governance, explainability, bias testing, and model monitoring practices (preferred).
  • Experience preparing models for validation, audit, or regulatory review (preferred).
  • Financial services or other highly regulated industry experience (preferred).

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