Delivery Manager
- Canada
Full-time
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Job details
- Job type
- Full-time
- Posting language
- English
- Posted
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
More about this job
Responsibilities
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.
Skills
- 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
Visa sponsorship
Not detected in the job text
Categories
- Technology
- Management & Leadership
- Data & Analytics
- Software
- Engineering
Keywords
- Delivery Manager
- Data Platform
- Generative AI
- Data Engineering
- Machine Learning
- Solution Architecture
- Full Lifecycle Delivery
- Sprint Planning
- Release Management
- Production Deployment
- Performance Tuning
- Data Pipelines
- Prompt Engineering
- Model Deployment
- Evaluation Metrics
- Enterprise-scale
- Stakeholder Management
- Technical Feasibility
- Vendor Management
- Cross-functional Teams