Hiring nowAI procurement, vendor assurance and value management

AI Portfolio Manager

Also called Enterprise AI Portfolio Lead

An AI Portfolio Manager decides where a company's AI money and effort go, using comparable evidence, and stops weak projects early. It matters because AI spend spreads fast and rarely gets reviewed against real outcomes.

What they do

They keep a single view of every AI initiative, whether built in house or bought from a model provider or vendor. They agree a common way to describe expected benefit, cost and risk, so projects can be compared fairly. They run vendor questionnaires and evaluation harnesses, and record claimed benefits in a benefit register. They then check those claims against what actually happened. They run a regular review with product, finance and risk leads, bring recommendations on what to fund, scale, pause or stop, and make sure the decision is recorded and acted on.

What a strong hire delivers

In the first months, a strong hire gives the company one complete list of AI initiatives with owners, spend and stated benefits. They put a consistent scoring method in place and run the first review cycle. They bring at least a few clear decisions to leadership, including one project that should stop. Teams understand how evidence is expected to be presented, and finance trusts the benefit figures.

How you can tell they are good

Ask them to walk through a portfolio they managed and show how they compared very different projects. Listen for how they handled weak evidence, vendor claims that could not be tested, and benefits that never arrived. A good candidate can describe a project they stopped and who objected. They explain trade-offs plainly and are comfortable reading both an evaluation result and a business case.

Why it is hard to fill

The title is new and rarely used, so searching by it finds few people. The work sits between procurement, finance, risk and technical evaluation, and most candidates are strong in only one or two. Those with the full mix often hold titles like vendor risk lead or transformation analyst. Many people can run a process. Fewer have the nerve to recommend stopping a favoured project and the technical grasp to back it up.

Where to find them

Look in procurement and category management, third-party or vendor risk, technology investment and finance business partnering, and technology evaluation or assurance teams. Large regulated organisations such as banks, insurers and consultancies often have them, as do enterprise software buyers and public bodies. Some come from programme or portfolio offices that have started covering AI. Evaluation-minded analysts moving out of data science are a smaller source.

Indicative pay

Not enough published evidence yet to give a fair range for this role, which is common for work this new. We benchmark it for you as part of a search.

Interview questions for an AI Portfolio Manager

  1. Tell me about a portfolio of projects you managed. How did you decide what to fund and what to stop?

    A strong answer names the criteria, the evidence used and a real project that was stopped. It covers who pushed back and how it was handled. Worry if every project was kept, or if decisions rested on sponsor enthusiasm.

  2. How would you compare an internal build with a vendor product when the benefits are described differently?

    Look for a common benefit definition, total cost including integration and running costs, and risk adjustment. They should ask for testable evidence. Worry if they accept vendor claims at face value or compare only licence cost.

4 more questions, with what a strong answer covers, are in the Role Kit.

Job description you can post

We are building more AI into our products and operations, and we need someone to make sure our investment goes to the work that pays off. You will own how we compare, fund, review and retire AI initiatives, working with product, finance, risk and engineering.

What you will do

  • Maintain a complete view of AI initiatives, spend, owners and expected benefits
  • Set a consistent way to compare projects using evidence
  • Run vendor questionnaires and evaluations before purchase or renewal
  • Keep a benefit register and check claims against realised outcomes
  • Run a regular portfolio review and record decisions
  • Recommend when to scale, pause or retire projects
  • Report portfolio results clearly to leadership

What you will bring

  • Demonstrated experience allocating investment across several competing projects
  • Experience assessing vendors, including commercial and risk questions
  • Ability to read evaluation results and ask sound questions about them
  • Commercial and financial analysis skills, shown through real business cases
  • Record of recommending that a project stop, and handling the response
  • Clear written and spoken communication with senior people

Nice to have

  • Background in procurement, third-party risk or finance partnering
  • Experience with evaluation harnesses or model testing
  • Familiarity with AI risk management practices

Free to use and adapt. If it saves you time, a link back to this page is appreciated.

Skills that matter

  • Procurement and vendor assuranceAdvancedEvaluate external systems against requirements and risks
  • AI risk managementAdvancedIdentify, assess, treat and monitor AI risks
  • Commercial and financial analysisWorkingAssess unit economics and value realisation
  • Model evaluationWorkingMeasure capability and failure modes credibly

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How we wrote this

Role definitions are our own editorial work, checked against occupational classifications, standards, research and employer pages. Titles vary by company, and this is a description of the work, not a job advert.

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