Job Description

This is a 6 - month contract with our client in the Fintech industry

We are seeking an objective, analytical Manager: AI Value Realisation Engineer to establish financial and operational discipline across our AI ecosystem.

Key Performance Areas

Value Framework Design: Build and maintain standard methodologies to accurately quantify AI impact across revenue uplift, cost reduction, risk mitigation, and productivity gains.

Benefits Tracking & Validation: Audit and track realized AI benefits against original business cases, clearly separating direct AI-attributed ROI from indirect, correlated business noise.

Value Leakage Diagnosis: Proactively hunt down gaps between forecast and actual value. Identify root causes of leakage—whether due to low user adoption, process friction, model limitations, or cloud cost overruns—and recommend corrective action.

Portfolio & Investment Analytics: Model ROI, payback periods, and break-even points across the AI portfolio to steer funding decisions based on hard evidence, not advocacy.

Executive Transparency: Translate complex technical data into concise, board-ready financial and strategic insights for steering committees and governance forums.

Requirements

Education

Bachelor's or master's degree in finance, Economics, Business Analytics, Engineering, Data, or a related quantitative field.

Experience & Competencies

5+ years of dedicated experience in Value Realisation, Performance Management, Finance, Strategy, or Business Analytics.

A proven track record of successfully quantifying and auditing the financial value of complex digital, cloud, analytics, or technology transformations.

Strong commercial and economic modelling skills (ROI, NPV, efficiency metrics) coupled with an analytical approach to technology.

Highly Advantageous: Experience within Fintech, Financial Services, Telecommunications, or heavily regulated environments.

Preferred: Practical exposure to the mechanics of AI/ML models, advanced analytics workloads, or digital platforms.