Job Title

AI Delivery Manager is a role focused on ensuring that artificial intelligence (AI) projects are delivered successfully—on time, within scope, and aligned with business goals. It blends project management, data/AI understanding, and stakeholder coordination.What an AI Delivery Manager doesProject ownership: Oversees end-to-end AI/ML project delivery (from idea → deployment → monitoring).Stakeholder management: Coordinates between data scientists, engineers, product teams, and business leaders.Planning & execution: Defines timelines, milestones, and deliverables for AI solutions.Risk management: Identifies issues like data quality problems, model bias, or deployment bottlenecks.Performance tracking: Ensures models meet KPIs (accuracy, latency, ROI, etc.).Governance & ethics: Ensures responsible AI practices (fairness, compliance, privacy). Key skills requiredProject management frameworks (Agile, Scrum, Kanban)Understanding of machine learning & AI conceptsData literacy (data pipelines, datasets, metrics)Strong communication & leadershipFamiliarity with tools like:JiraAzure Machine LearningTensorFlowTypical backgroundProject/Product Manager with AI exposureData Scientist moving into leadershipSoftware Engineer transitioning to management