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
