Service Delivery Manager (AI/ML and Data)

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 opportunities 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, Salesforce, Workday, or other enterprise platforms is a plus.

Qualifications

• Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field.
• Master’s degree is preferred.

Key Competencies

• Leadership and team management
• Strategic thinking
• Excellent communication and stakeholder management
• Problem-solving and decision-making
• Risk management
• Customer-focused delivery
• Strong analytical skills
• Adaptability and continuous learning
• Ability to manage multiple concurrent projects

Results-oriented mindset