AI Manager

Lead the planning, development, and deployment of AI and machine learning solutions.

Define AI strategies and roadmaps aligned with organizational objectives.

Manage AI projects from requirements gathering through implementation and production deployment.

Lead and mentor AI engineers, data scientists, ML engineers, and other technical professionals.

Evaluate AI technologies, tools, platforms, and vendors for business applications.

Collaborate with business, product, IT, data, and security teams to identify AI opportunities.

Oversee the development and deployment of machine learning and generative AI applications.

Establish processes for model performance monitoring, testing, validation, and continuous improvement.

Ensure responsible and secure use of AI, including appropriate data governance and risk controls.

Manage project budgets, timelines, resources, and deliverables.

Monitor AI system performance and address technical or operational issues.

Communicate AI project progress, risks, and outcomes to senior management.

Develop documentation, standards, and best practices for AI development and deployment.

Stay informed about advances in AI, machine learning, large language models, and automation technologies.

Support employee training and organizational adoption of AI tools and solutions.