Delivery Manager

Job summary

Key Responsibilities: Lead full lifecycle delivery of data and AI solutions – from discovery and design through development, deployment, and adoption. Collaborate with Solution Architects, Data Scientists, and business stakeholders to validate functional use cases and technical feasibility. Manage technical risks, drive issue resolution, and ensure the quality and scalability of delivered solutions. Oversee sprint planning, release management, and production deployment, including post-release monitoring and performance tuning. Foster strong relationships with business users, enterprise archi…

Job details

Key Responsibilities: Lead full lifecycle delivery of data and AI solutions – from discovery and design through development, deployment, and adoption. Collaborate with Solution Architects, Data Scientists, and business stakeholders to validate functional use cases and technical feasibility. Manage technical risks, drive issue resolution, and ensure the quality and scalability of delivered solutions. Oversee sprint planning, release management, and production deployment, including post-release monitoring and performance tuning. Foster strong relationships with business users, enterprise architects, and vendor partners to ensure value-driven outcomes. Required Skills: 10 +years of experience in delivering enterprise-scale data and AI projects Strong grasp of data architecture, data pipelines, prompt engineering, model deployment, and evaluation metrics. Excellent communication skills and ability to bridge technical and business teams effectively. Key Responsibilities: Lead full lifecycle delivery of data and AI solutions – from discovery and design through development, deployment, and adoption. Collaborate with Solution Architects, Data Scientists, and business stakeholders to validate functional use cases and technical feasibility. Manage technical risks, drive issue resolution, and ensure the quality and scalability of delivered solutions. Oversee sprint planning, release management, and production deployment, including post-release monitoring and performance tuning. Foster strong relationships with business users, enterprise architects, and vendor partners to ensure value-driven outcomes. Required Skills: 10 +years of experience in delivering enterprise-scale data and AI projects Strong grasp of data architecture, data pipelines, prompt engineering, model deployment, and evaluation metrics. Excellent communication skills and ability to bridge technical and business teams effectively. bachelors in engineering or related field

Listed skills

• Technical · Preferred
• Development · Preferred
• issue resolution · Preferred
• management · Preferred
• Planning · Preferred
• Production · Preferred
• Communication · Preferred
• Communication Skills · Preferred
• prompt engineering · Preferred
• Teams · Preferred
• Évaluation · Preferred
• Organization · Preferred

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