AI Project Manager AI/ML, Data Engineering & ETL

Job Summary

We are seeking an experienced AI Project Manager to lead the successful delivery of AI/ML, Data Engineering, ETL, and Analytics projects. The ideal candidate will manage end-to-end project execution, collaborate with cross-functional teams, and ensure the successful implementation of AI-driven and data-centric solutions that align with business objectives.

Key Responsibilities
Lead end-to-end delivery of AI/ML, Data Engineering, ETL, and Analytics projects.
Define project scope, objectives, timelines, budgets, and resource plans.
Coordinate with business stakeholders to gather and prioritize requirements.
Manage cross-functional teams including Data Engineers, AI/ML Engineers, Data Scientists, Cloud Engineers, BI Developers, and QA teams.
Oversee the design and implementation of AI/ML solutions, data pipelines, ETL/ELT processes, and analytics platforms.
Track project progress, manage risks, dependencies, and issue resolution.
Ensure adherence to Agile/Scrum methodologies and project governance standards.




Monitor project KPIs, quality metrics, and delivery milestones.
Facilitate sprint planning, daily stand-ups, reviews, retrospectives, and stakeholder meetings.
Drive deployment planning, release management, and production readiness.
Ensure compliance with data governance, security, and regulatory requirements.
Prepare project status reports, dashboards, RAID logs, and executive presentations.
Identify prospects for process improvements, automation, and AI adoption.
Mentor project teams and foster collaboration and continuous improvement.

Preferred Experience
8–15 years of IT experience with 3–5 years managing AI/ML, Data Engineering, ETL, or Analytics projects.
Experience delivering enterprise AI, cloud migration, data modernization, or digital transformation initiatives.
Experience working with cross-functional and distributed teams.
Exposure to SAP, Oracle, Sa

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