AI Portfolio Manager - Consulting

AI Business Process Consultant - Consulting

We are looking for an experienced AI Business Process Consultant to support a global AI Centre of Excellence, helping identify operational challenges and turn them into practical, commercially valuable AI opportunities.

This is not a role where the problem statement has already been defined and the consultant simply manages execution. The successful person will work before that point: understanding how a business function operates today, identifying inefficiency and unmet need, defining the future-state process, selecting the right problem to address and building a case that senior stakeholders can support.

• Work with senior stakeholders to understand business objectives, current processes, pain points and unmet needs.
• Lead discovery activity, mapping the as-is environment and identifying inefficiencies, manual activity and improvement opportunities.
• Define future-state processes and determine where AI, GenAI, automation or analytics could create measurable value.
• Turn broad or ambiguous business challenges into clear problem statements, prioritised use cases and actionable initiatives.
• Assess opportunities based on business value, feasibility, data readiness, risk and delivery complexity.
• Build business cases that quantify cost reduction, productivity improvement, revenue growth, risk reduction and operational efficiency.
• Facilitate workshops across functions such as finance, accounting, procurement, marketing, HR, operations or shared services.
• Work with AI architects, data, engineering and delivery teams to shape solutions and hand validated use cases into delivery.

• 7-10 years'' experience in business consulting, business analysis, process optimisation, digital transformation or a related advisory role.
• Proven ability to investigate how a business operates and identify the right problem before a formal requirement has been defined.
• Experience conducting discovery, as-is and to-be process analysis, stakeholder interviews and workshops.
• Strong functional knowledge across at least one area such as finance, accounting, procurement, marketing, HR or operations.
• Experience shaping problem statements, business cases, value assessments and transformation opportunities.
• Practical understanding of AI, GenAI, automation or data-led solutions.
• Confidence engaging and constructively challenging senior business stakeholders.
• Strong communication skills, with the ability to translate between business and technical teams.