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EXL

Delivery Manager

Canada

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Job details

Posting language: English
Posted: Oct 12, 2026

Original job description

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

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More about this job

Responsibilities

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.

Skills

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

Visa sponsorship

Not detected in the job text

Keywords

Delivery Manager
Data Platform
Generative AI
Data Engineering
Machine Learning
Solution Architecture
Enterprise-scale
Full lifecycle
Sprint planning
Release management
Production deployment
Performance tuning
Vendor management
Functional use cases
Technical feasibility
Data pipelines
Prompt engineering
Model deployment
Evaluation metrics
Cross-functional teams

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