Delivery Manager
- Canada
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Job details
- 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, 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
Categories
- Management & Leadership
- Data & Analytics
- Technology
- Software
- Engineering
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