Assistant Manager ​/ Manager - Business Consulting - Finance Technology & AI - MENA

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EY is building its EY.ai for Finance capability across MENA to meet fast-growing client demand for AI-enabled finance transformation. The successful candidate will help EY teams take AI-enabled FP&A solutions to clients faster and at scale, moving finance functions from reporting the past to shaping the future through driver-based forecasting, variance intelligence, scenario planning and autonomous insights. You will work at the intersection of finance and technology, translating real FP&A challenges into deployable AI solutions and acting as a bridge between CFO-level stakeholders and technical delivery teams.

• Market momentum: 90% of CFOs are actively integrating AI into long-term strategy, and adoption of AI in FP&A rose sharply from around 6% in 2024 to a 41% increase in usage in 2025, creating strong, sustained client demand across MENA.
• Tangible impact:
  Up to 45% of FP&A time is still spent cleaning and reconciling data; this role directly targets that gap by embedding AI-driven forecasting, automated reporting and insight generation.

• Design and deploy AI/ML-driven FP&A solutions, driver-based forecasting, predictive and probabilistic forecasts, variance intelligence and “what-if” scenario modelling, that generate decision-ready insights for clients.
• Automate management reporting, variance analysis and narrative generation, reducing manual effort and close/reporting cycle times.
• Configure and tailor the EY.ai Finance multi-agent predictive engine and natural-language interface to each client’s data landscape and use cases.

• Build and integrate trusted data foundations across ERPs, EPMs and finance tools, ensuring data quality, governance and lineage to power reliable AI outputs.
• Apply hands-on technical and coding capability (e.g., Python/SQL) to data pipelines, model configuration, analytics and prototype development.
• Leverage GenAI and agentic AI to enrich data, harmonise multi‑source inputs and surface anomalies, trends and unexplained variances.

• Translate client FP&A pain points into practical AI use cases; run current‑state assessments, target‑state definition and gap analysis.
• Bring strong FP&A domain expertise, budgeting, forecasting, performance management, management reporting, to ensure AI initiatives align with finance goals and support responsible decision‑making.
• Engage CFO‑level and senior finance stakeholders, demystifying AI, building trust and driving adoption through effective change management.

• Contribute to the build‑out of the Finance.
  
  AI capability across MENA, accelerators, methodologies, go‑to‑market assets and proposals.
• Support pursuits, proof‑of‑concepts and pilots, and help scale successful solutions to new clients and finance domains (Controllership, Risk, Treasury, Tax).

• A blend of AI, data and technical skills combined with a strong understanding of finance and ideally FP&A.
• Hands‑on technical and coding capability (e.g., Python, SQL) and familiarity with AI/ML concepts, predictive analytics, forecasting, anomaly detection and automated reconciliations.
• Strong data literacy: ability to analyse structured and unstructured financial data and interpret AI‑driven insights to inform decisions.
• 4‑8 years of experience with FP&A processes and/or finance transformation, planning, budgeting, forecasting and reporting.
• Ability to work with unified data models and integrate across ERP/EPM and finance systems.
• Excellent communication and stakeholder‑management skills, with the ability to translate technical outputs into business value for finance leaders.
• Exposure to GenAI / agentic AI, natural‑language interfaces, ML forecasting engines or EPM tooling.
• Understanding of data governance,…