Agile Project Management

Job description

Responsibilities: • Manage and coordinate end-to-end delivery of AI/ML, Generative AI, Data Science, MLOps, or AI Platform projects using Agile methodologies. • Work closely with Product Managers, Product Owners, Business Stakeholders, Architects, Data Scientists, AI/ML Engineers, Data Engineers, and other technical teams to ensure successful project delivery. • Plan project scope, timelines, milestones, resources, dependencies, and deliverables. • Drive Agile/Scrum ceremonies such as Sprint Planning, Daily Stand-ups, Backlog Refinement, Sprint Reviews, and Retrospectives . • Track project progress against agreed timelines, milestones, scope, and quality expectations. • Identify, track, and proactively manage project risks, issues, assumptions, and dependencies . • Coordinate activities across multiple technical and business teams to ensure smooth execution of projects. • Facilitate communication between technical teams and business stakeholders and ensure clear understanding of requirements and priorities. • Monitor project deliverables and ensure that teams remain aligned with business objectives. • Support prioritization and execution of AI/Data capabilities, platforms, products, and solutions. • Understand project-level technical dependencies related to AI/ML models, GenAI solutions, data pipelines, MLOps, AI platforms, and cloud/data environments sufficiently to coordinate delivery effectively. Required Experience: • 5–10 years of experience in project/program management, technology delivery, or a related role. • Strong experience working in Agile/Scrum project environments . • Demonstrated experience managing or supporting Data, AI/ML, Generative AI, Data Science, MLOps, or AI Platform projects . • Experience delivering or supporting at least one AI capability, AI-powered product, platform, or solution . • Ability to work effectively with highly technical teams and understand the overall lifecycle of AI/ML and Data projects. • Strong stakeholder management, communication, planning, prioritization, and problem-solving skills. • Experience managing multiple workstreams, technical dependencies, risks, and delivery milestone