AI Delivery Manager - Enterprise ML Projects (Hybrid)

Confidential Employer; Nashville (TN); Hybrid; USD 90,000 - 120,000; Full time

Job summary

Confidential Employer in Nashville is seeking an experienced AI Project / Delivery Manager to lead planning, execution, and successful delivery of AI/ML initiatives across the enterprise. The role bridges technical implementation and business impact, ensuring projects are on time, in scope, and aligned with strategic objectives.

The ideal candidate combines project management skills with knowledge of AI/ML concepts and the ability to communicate across technical and non-technical teams.

Qualifications

• 5+ years of experience managing software, data, or AI-related projects.
• Proven experience leading Agile or Scrum delivery teams in a technical environment.
• Strong understanding of AI/ML fundamentals and lifecycle management.

Responsibilities

• Project Ownership: oversee full lifecycle of AI projects from initiation to deployment.
• Cross-Functional Leadership: partner with Data Science, Engineering, Product, and Business Units.
• Delivery Management: lead agile delivery, plan sprints, manage backlogs and standups for AI teams.
• Stakeholder Communication: translate AI concepts into business value for executives.
• Risk & Quality Management: identify and mitigate data, security, or performance risks.
• Vendor & Platform Coordination: manage AI vendors and platform integrations.
• Metrics & Reporting: establish KPIs for model adoption, ROI, and delivery efficiency.
• Change Enablement: support user adoption and training for AI tools across departments.

Skills

Project management

Agile / Scrum

AI/ML fundamentals

Cloud AI ecosystems

DevOps / MLOps

Stakeholder communication

Cross-functional leadership

Tools

AWS SageMaker

Azure AI

Google Vertex AI

OpenAI

Job description

Confidential Employer in Nashville is seeking an experienced AI Project / Delivery Manager to lead planning, execution, and successful delivery of AI/ML initiatives across the enterprise. The role bridges technical implementation and business impact, ensuring projects are on time, in scope, and aligned with strategic objectives.

The ideal candidate combines project management skills with knowledge of AI/ML concepts and the ability to communicate across technical and non-technical teams.