What are the responsibilities and job description for the AI Platform Program Manager position at Noblesoft Solutions Inc.?
Duties: DESCRIPTION
This role exists to drive successful, well-orchestrated adoption of the AI platform at enterprise scale (distinct from software delivery) by creating clarity, structure, and discipline around how AI is requested, adopted, governed, and taken to value.
This role exists to drive successful, well-orchestrated adoption of the AI platform at enterprise scale (distinct from software delivery) by creating clarity, structure, and discipline around how AI is requested, adopted, governed, and taken to value.
Specifically, this role ensures:
· AI adoption is organized, visible, and intentional, rather than ad hoc or fragmented.
· Business teams clearly understand what AI capabilities exist, how to access them, and how to use
them effectively.
· Use cases are guided from inquiry → selection → execution → completion, with accountability to
outcomes.
· Demand for AI is routed efficiently, reducing noise and protecting engineering capacity.
· Agentic AI (MCP-based) adoption is coordinated, governed, and sustainable.
· AI adoption is organized, visible, and intentional, rather than ad hoc or fragmented.
· Business teams clearly understand what AI capabilities exist, how to access them, and how to use
them effectively.
· Use cases are guided from inquiry → selection → execution → completion, with accountability to
outcomes.
· Demand for AI is routed efficiently, reducing noise and protecting engineering capacity.
· Agentic AI (MCP-based) adoption is coordinated, governed, and sustainable.
Skills: EXPERIENCE AND SKILLS:
Exceptionally well-organized; able to manage high volumes of inquiries, use cases, stakeholders, and dependencies with precision.
· Strong understanding of IT financial management, including project funding models, chargeback/showback, and how costs are allocated across initiatives.
· Comfortable coordinating across funded projects, shared platforms, and enterprise services; able to help teams navigate how work is scoped and paid for.
· Solid conceptual understanding of AI, machine learning platforms, data products, and agentic AI, without needing to design or build technical solutions.
· Able to translate between business intent and technical teams, asking the right questions and guiding teams to appropriate solutions.
· Experience operating in complex enterprise environments with multiple governance, risk, and delivery partners.
· High judgment, strong follow-through, and disciplined execution mindset.