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
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Value Framework Design: Build and maintain standard methodologies to accurately quantify AI impact across revenue uplift, cost reduction, risk mitigation, and productivity gains.
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Benefits Tracking & Validation:Audit and track realized AI benefits against original business cases, clearly separating direct AI-attributed ROI from indirect, correlated business noise.
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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.
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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.
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Executive Transparency: Translate complex technical data into concise, board-ready financial and strategic insights for steering committees and governance forums.
Requirements
Education:
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Bachelor's or master's degree in finance, Economics, Business Analytics, Engineering, Data, or a related quantitative field.
Experience & Competencies:
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5+ years of dedicated experience in Value Realisation, Performance Management, Finance, Strategy, or Business Analytics.
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A proven track record of successfully quantifying and auditing the financial valueof complex digital, cloud, analytics, or technology transformations.
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Strong commercial and economic modelling skills (ROI, NPV, efficiency metrics) coupled with an analytical approach to technology.
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Highly Advantageous: Experience within Fintech, Financial Services, Telecommunications, or heavily regulated environments.
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Preferred: Practical exposure to the mechanics of AI/ML models, advanced analytics workloads, or digital platforms.
