AI Delivery Lead - Drive Enterprise AI Projects

Confidential Employer; Dallas (TX); Hybrid; USD 120,000 - 180,000; Full time

Job summary

Confidential Employer in Dallas, TX is seeking an experienced AI Project / Delivery Manager to lead planning, execution, and successful delivery of AI/ML initiatives across the enterprise.

This role bridges the gap between technical implementation and business impact—ensuring AI projects are delivered on time, within scope, and aligned with strategic objectives. Strong PM, AI/ML knowledge, and cross-functional communication are essential.

Qualifications

• 5+ years of experience managing software, data, or AI projects.
• Proven experience leading Agile or Scrum delivery teams in a technical environment.
• Strong understanding of AI/ML fundamentals and lifecycle management.
• Familiarity with cloud AI ecosystems (AWS SageMaker, Azure AI, Google Vertex AI).
• Experience working with DevOps or MLOps frameworks.
• Excellent communication, stakeholder management, and executive presentation skills.

Responsibilities

• Oversee the full lifecycle of AI projects—from initiation to deployment.
• Partner with Data Science, Engineering, Product, and Business Units to define scope and success criteria.
• Lead agile delivery processes, manage sprint planning, backlogs, and daily standups.
• Translate complex technical topics into clear business value and report to executives.
• Identify and mitigate delivery risks related to data, security, or performance.
• Manage third-party AI vendors, SaaS integrations, and platform implementations.
• Establish KPIs to track model adoption, ROI, and delivery efficiency.
• Support user adoption and training programs for AI-powered tools.

Skills

Agile delivery

Stakeholder management

Executive communication

AI/ML fundamentals

Cross-functional leadership

Cloud AI ecosystems

DevOps / MLOps

Tools

AWS SageMaker

Azure AI

Vertex AI

OpenAI

Job description

Confidential Employer in Dallas, TX is seeking an experienced AI Project / Delivery Manager to lead planning, execution, and successful delivery of AI/ML initiatives across the enterprise.

This role bridges the gap between technical implementation and business impact—ensuring AI projects are delivered on time, within scope, and aligned with strategic objectives. Strong PM, AI/ML knowledge, and cross-functional communication are essential.