Delivery Manager

Job summary

Lead the full lifecycle delivery of data and AI solutions from discovery through deployment and adoption. Manage technical risks, oversee sprint planning, and foster strong relationships with stakeholders to ensure value-driven outcomes.

Job details

We are seeking a Delivery Lead to manage the end-to-end delivery of data platform projects, including solutions leveraging Generative AI and modern data engineering architectures. This role requires strong coordination across cross-functional teams of Data Engineers, Machine Learning Engineers, Architects, and platform specialists to ensure successful implementation and business alignment Base Compensation Range: CAD 125,000 - 145,000 The posted range is the hiring range for this role — a subset of the broader range available to employees over time — and reflects base salary across our national hiring scale. Final offers are based on several factors, including the candidate's skills and experience, internal pay equity, work location, market conditions for the role, and the specific scope and responsibilities of the position. The top of the range is reserved for candidates who notably exceed the requirements; the lower end applies to those with less experience or fewer preferred qualifications. For more information on benefits and what we offer please visit us at https://www.exlservice.com/us-careers-and-benefits 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 from discovery through deployment and adoption. Manage technical risks, oversee sprint planning, and foster strong relationships with stakeholders to ensure value-driven outcomes.

Requirements

Requires over 10 years of experience in delivering enterprise-scale data and AI projects. Candidates must possess a bachelor's degree in engineering or a related field and have a strong grasp of data architecture and modern engineering practices.

Listed skills

• prompt engineering · Preferred
• Machine learning · Preferred
• Stakeholder Management · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Data architecture
• Data pipelines
• Prompt engineering
• Model deployment
• Evaluation metrics
• Sprint planning
• Release management
• Production deployment
• Performance tuning
• Data engineering
• Machine learning
• Generative AI
• Stakeholder management
• Technical risk management
• Project delivery
• Prompt Engineering
• Sprint Planning
• Artificial Intelligence
• Communication
• Data Architecture
• Scalability
• Performance Metric
• Performance Tuning
• Release Management
• Solution Architecture
• Data Pipelines

Job areas

• Technology
• Management & Leadership
• Data & Analytics
• Software
• Engineering
• Delivery Manager
• Product Engineering Manager
• Manufacturing Managers
• Architectural and Engineering Managers

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