AI Project / Delivery Manager

<p><strong>AI Project / Delivery Manager - </strong>Dallas, TX (Hybrid)</p><p>To Apply Now - email your resume to <a href="mailto:job-knemkq7d-1e4ngrk82rw3kdm@sagedata.io" target="_blank">job-knemkq7d-1e4ngrk82rw3kdm@sagedata.io</a></p><p><strong>About the Role</strong></p><p>We are seeking an experienced <strong>AI Project / Delivery Manager</strong> to lead the planning, execution, and successful delivery of artificial intelligence and machine learning initiatives across the enterprise.</p><p>This role bridges the gap between <strong>technical implementation and business impact</strong>&#8212;ensuring AI projects are delivered on time, within scope, and aligned with strategic objectives. The ideal candidate combines strong project management skills, a working knowledge of AI/ML concepts, and the ability to communicate effectively across technical and non-technical teams.</p><p></p><p><strong>Key Responsibilities</strong></p><ul><li><strong>Project Ownership:</strong> Oversee the full lifecycle of AI projects&#8212;from initiation and business case development through deployment and post-implementation review.</li><li><strong>Cross-Functional Leadership:</strong> Partner with Data Science, Engineering, Product, and Business Units to define scope, success criteria, and resource requirements.</li><li><strong>Delivery Management:</strong> Lead agile delivery processes, manage sprint planning, backlogs, and daily standups for AI teams.</li><li><strong>Stakeholder Communication:</strong> Translate complex technical topics (LLMs, MLOps, NLP, computer vision) into clear business value and deliver progress updates to executives.</li><li><strong>Risk &amp; Quality Management:</strong> Identify and mitigate delivery risks related to data, security, or performance. Ensure adherence to DevSecOps, governance, and compliance standards.</li><li><strong>Vendor &amp; Platform Coordination:</strong> Manage third-party AI vendors, SaaS integrations (e.g., AWS SageMaker, Azure AI, OpenAI, or Vertex AI), and platform implementations.</li><li><strong>Metrics &amp; Reporting:</strong> Establish KPIs to track model adoption, ROI, and delivery efficiency.</li><li><strong>Change Enablement:</strong> Support user adoption and training programs for AI-powered tools across departments.</li></ul><p></p><p><strong>Required Qualifications</strong></p><ul><li>5+ years of experience managing software, data, or AI-related projects.</li><li>Proven experience leading Agile or Scrum delivery teams in a technical environment.</li><li>Strong understanding of AI/ML fundamentals and lifecycle management (data prep, model training, deployment).</li><li>Familiarity with <strong>cloud AI ecosystems</strong> (AWS SageMaker, Azure AI, or Google Vertex AI).</li><li>Experience working with <strong>DevOps or MLOps</strong> frameworks.</li><li>Demonstrated ability to manage multiple concurrent initiatives in complex enterprise environments.</li><li>Excellent communication, stakeholder management, and executive presentation skills.</li></ul>