Delivery Manager

Job summary

Lead the full lifecycle delivery of data and AI solutions, managing everything from discovery and design to deployment and adoption. Collaborate with cross-functional teams and stakeholders to ensure technical feasibility, quality, and value-driven outcomes.

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. RESPONSIBILITIES 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. QUALIFICATIONS bachelors in engineering or related field

What you’ll do

Lead the full lifecycle delivery of data and AI solutions, managing everything from discovery and design to deployment and adoption. Collaborate with cross-functional teams and stakeholders to ensure technical feasibility, quality, and value-driven outcomes.

Requirements

Requires over 10 years of experience in delivering enterprise-scale data and AI projects with a strong grasp of modern data architectures. Candidates must hold a bachelor's degree in engineering or a related field and possess excellent communication skills.

Listed skills

• prompt engineering · Preferred
• Project management · Preferred
• Stakeholder Management · Preferred
• Communication Skills · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Data architecture
• Data pipelines
• Prompt engineering
• Model deployment
• Evaluation metrics
• Project management
• Delivery management
• Generative AI
• Data engineering
• Stakeholder management
• Sprint planning
• Release management
• Technical risk management
• Communication skills
• Cross-functional leadership
• Prompt Engineering
• Sprint Planning
• Artificial Intelligence
• Communication
• Data Architecture
• Scalability
• Performance Metric
• Performance Tuning
• Release Management
• Solution Architecture
• Data Pipelines

Job areas

• Management & Leadership
• Data & Analytics
• Technology
• Software
• Engineering
• Delivery Manager
• Data Manager
• Database Designers and Administrators
• Database Architects

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