Job Description & Details
This is an internal consulting role bridging the gap between high-level business goals and actual AI execution. Instead of writing code, you will spend your time figuring out whether proposed AI initiatives actually make financial sense and how to shepherd them through the corporate pipeline.
What You'll Actually Be Doing
Expect to act as the primary translator between business stakeholders and technical delivery teams. Your day-to-day involves intake and origination of AI ideas, rigorous problem framing, and assessing feasibility before any engineering budget gets wasted. You'll build solid business cases, map out financial and non-financial benefits, establish KPIs, and obsess over whether the business will actually adopt what gets built.
The Core Tech Stack
While you won't be building models, you need a strong grasp of the AI/ML landscape to evaluate build-versus-buy decisions intelligently. You must understand data readiness, technical feasibility, and how enterprise software solutions integrate. Familiarity with AI value lifecycles, portfolio management frameworks, and translating vague business problems into structured technical requirements are the absolute must-have skills here.
Interview Expectations
They will likely ask you to walk through a time you had to tell a business stakeholder their pet project had a terrible ROI, forcing you to explain how you handled the pushback while keeping relationships intact. The hiring manager is secretly looking for commercial pragmatism and your ability to push back against hype with hard data. Another common angle will be a case study on how you assess the feasibility of an unstructured generative AI use case from scratch.
Application Advice
Make sure your resume highlights past experiences where you directly tied technology initiatives to concrete financial outcomes and business KPIs. Ditch the generic project management buzzwords and emphasize keywords like 'value realization', 'feasibility assessment', 'build vs. buy analysis', and 'stakeholder management'. Your resume needs to prove you speak fluent business and understand technical constraints well enough to call out bad ideas early.