Lead end-to-end delivery of AI projects from use case definition to deployment.
Define project success metrics and monitor progress and outcomes.
Coordinate work across Data Engineers, Data Scientists, AI Engineers, DevOps, and IT and related teams to obtain required system access, environments, and technical approvals for AI project implementation.
Build prototypes/MVPs to validate AI use cases using AI code assistants.
Ensure AI solutions are production-ready with automation, scalability, reliability, monitoring, and governance.
Qualifications
Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Business, or related field.
Experience managing technology, data, or AI-related projects.
Strong understanding of AI/ML project lifecycle and data-driven solutions.
Experience coordinating cross-functional teams (data, engineering, IT, and business).
Familiarity with AI development tools and ability to build basic prototypes or MVPs using AI code assistants.
Strong project planning, stakeholder management, and communication skills.
Ability to translate business problems into AI project requirements.
