AI Portfolio Manager - Consulting
Job in
London, Greater London, W1B, England, UK
Listed on 2026-06-11
Listing for:
SR2
Full Time
position Listed on 2026-06-11
Job specializations:
-
IT/Tech
Data Analyst, Data Science Manager, AI Engineer (Applied/Software), IT Business Analyst
Job Description & How to Apply Below
We are looking for a Consultant / AI Portfolio Manager to support a global AI Centre of Excellence, helping shape business demand, prioritise high-value opportunities and ensure AI solutions are built once and reused effectively across multiple business areas.
This is a strategic, client-facing role suited to someone with strong consulting discipline, enterprise business understanding and the ability to turn broad or ambiguous ideas into clearly scoped, commercially valuable AI initiatives.
Key Responsibilities:
Manage a portfolio of AI initiatives, maintaining visibility of scope, dependencies, sequencing, risks and progress.
Shape business demand by working with senior stakeholders to understand objectives, test opportunities and prioritise where AI can create measurable value.
Identify duplication across initiatives and promote reuse of existing accelerators, frameworks and solution patterns.
Support the governance of reusable AI assets, helping decide what should be reused, adapted, hardened or retired.
Challenge loosely defined ideas and convert them into clearly scoped initiatives with quantified business outcomes.
Support pre-sales, solutioning and business case development, ensuring proposals lead with value rather than technology alone.
Quantify benefits such as revenue growth, cost reduction, productivity improvement, risk reduction and operational efficiency.
Work across business, technology and operations teams to align stakeholders and build consensus.
Ensure validated and approved use cases are handed over clearly into delivery teams without loss of context.
Required Experience:
7-10 years' experience in management consulting, strategy, digital transformation, pre-sales or portfolio/programme delivery.
Proven ability to structure ambiguous business problems into clear, actionable initiatives.
Experience shaping technology-enabled transformation, AI, automation or data-led opportunities.
Portfolio or programme management experience across multi-workstream environments.
Ability to work confidently with technical, operational and business teams.
Strong communication skills, with the ability to produce clear, senior-facing outputs
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