This role is responsible for measuring, validating, and optimising the business value generated by AI platforms and AI use cases across the organisation. The position establishes consistent value measurement frameworks, tracks realised benefits against approved business cases, identifies value leakage, and enables leadership to make evidence based decisions on scaling, optimising, or retiring AI initiatives. The successful candidate will act as the objective owner of AI value discipline, working across business, finance, product, and engineering teams to ensure AI investments deliver measurable, defensible returns.

Responsibilities

AI Value Framework and Measurement Design

Define and maintain a standardised AI value realisation framework across the organisation
Establish methodologies to quantify AI value, including revenue uplift, cost reduction, loss prevention/risk reduction, and productivity or efficiency gains
Ensure metrics are comparable across use cases and business units, defensible and auditable, and aligned to finance and strategy standards

Benefits Tracking and Validation

Track realised AI benefits against approved business cases and expected KPIs and assumptions
Validate outcomes in collaboration with AI use case owners, finance, and performance teams
Distinguish clearly between direct AI attributed value and correlated or indirect benefits

Value Leakage Identification and Optimisation

Identify gaps between forecast versus realised value, and technical performance versus business impact
Diagnose root causes of value leakage, including low adoption, change failure, process friction, cost overruns, or data and model limitations
Recommend corrective actions and optimisation opportunities

AI Investment and Portfolio Analytics

Support investment decisions through ROI analysis, break even and payback modelling, and scale versus retire recommendations
Provide portfolio level insights on high performing and underperforming or at risk AI initiatives
Enable prioritisation based on evidence rather than advocacy

Executive Reporting and Transparency

Produce concise, credible reporting on AI value delivered, value at risk, and expected versus realised benefits
Translate AI outcomes into executive and board ready insights
Support steering committees and governance forums with objective data

Continuous Value Governance

Embed value tracking into the AI delivery lifecycle and post deployment operations
Ensure value measurement continues beyond go live
Refine frameworks as AI maturity and regulatory expectations evolve

Experience and education

Education

Bachelor's or Master's degree in Finance, Economics, Business Analytics, Engineering, Data Science, or a related field

Experience

5+ years of experience in value realisation, performance management, business analytics, finance, or strategy roles
Proven track record of quantifying value from digital, analytics, or technology initiatives
Experience in financial services, fintech, telecommunications, or other regulated environments is highly advantageous
Exposure to AI, advanced analytics, or data platforms is preferred

Competencies

Financial modelling and ROI analysis
Benefits realisation and KPI frameworks
Cost attribution and efficiency analysis
Understanding of AI delivery and operating models
Portfolio performance tracking

Behavioural Qualities

Objective, independent, and evidence driven
Commercially astute and detail oriented
Trusted, credible, and methodical
Outcomes focused rather than activity focused