AI Project Manager Job Description: An AI Project Manager oversees AI/ML projects from ideation to deployment, bridging business goals, technical teams (e.g., data scientists, engineers), and stakeholders to deliver on time, within budget, and with high impact.

Key Responsibilities

Project Planning & Execution: Define scope, goals, timelines, budgets, milestones, and resource allocation; monitor progress, risks, and performance metrics.

Technical Oversight: Understand AI concepts, lifecycle (data prep, model training/deployment, monitoring); manage data readiness, model evaluation, and AI integration with existing systems.

Team & Stakeholder Management: Lead cross-functional teams; communicate requirements, set expectations, and align data engineering, AI, and business priorities.

AI-Specific Duties: Integrate AI tools for scheduling/risk assessment; ensure ethical AI, data privacy, regulatory compliance, and post-project evaluations.

Strategic Elements: Prioritize initiatives, develop AI roadmaps, mitigate risks, and drive business value through data-driven decisions.

Required Skills & Qualifications

Core Skills: Data literacy, analytical thinking, AI lifecycle knowledge (e.g., CPMAI methodology), critical problem-solving, communication, and adaptability to AI changes.

Technical Proficiency: Familiarity with AI tools, version control, project management software supporting data workflows.

Education/Experience: Bachelor's in Computer Science, Data Science, Engineering, or related; experience in AI/ML projects.

Soft Skills: Leadership, stakeholder relationship-building, ethical awareness.