Decision Analytics Manager/ Senior Manager - Decision, Modeling, Economics - MENA

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Business Area All Country/Region All City All Clear Select how often (in days) to receive an alert: Create Alert × Select how often (in days) to receive an alert: Apply now » Apply now Start applying with LinkedIn Apply Now Start Please wait... Decision Analytics Manager/ Senior Manager - Decision, Modeling, Economics - MENA Location: Riyadh Other locations: Anywhere in Region Salary: Competitive Date: Oct 25, 2026 Job description Requisition ID: 1755149 About the job At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. The opportunity EY Parthenon is looking for a Decision Analytics Manager to join our high-performing Decision Modeling & Economics practice, focused on high-impact work in the Government and Public sector. This is a hands-on technical role focused on data science and operational research, leading advanced analytics engagements that improve strategic, operational and investment decisions. The role primarily supports government and public sector clients across the GCC, with selected work across infrastructure, energy, investment, education and transactions. The successful candidate will bring deep expertise in data science or operational research, supported by strong consulting and leadership skills, and the breadth to lead multidisciplinary teams, review technical work and translate analysis into practical recommendations. The role is open to qualified candidates across MENA, with flexibility on the final hiring location for the right candidate. Your key responsibilities You are likely to spend your day-to-day leading analytics workstreams that help government and public sector entities make better decisions, from problem definition and data assessment through modeling, validation and implementation. Assignments may include workforce and capacity planning, network and supply-chain optimization, economic and market forecasting, transaction analytics, capital-allocation modeling and strategic scenario analysis. You will translate ambiguous business and policy questions into clear hypotheses, methods and measurable outcomes, and develop predictive, forecasting, optimization or simulation models suited to the decision and the available data. You will also apply analytics to transaction and corporate-finance questions, including customer performance, concentration, recurring revenue, investment cases, value creation and capital allocation. You will provide technical leadership by selecting proportionate methods, technology and development approaches for each engagement, and by directing data scientists,

Deep expertise in data science or operational research, supported by strong consulting and leadership skills, and the breadth to lead multidisciplinary teams, review technical work and translate analysis into practical recommendations. Experience leading analytics workstreams in government/public sector, with ability to translate ambiguous business questions into clear hypotheses and measurable outcomes. Proficiency in developing predictive, forecasting, optimization or simulation models; experience with workforce planning, network and supply-chain optimization, economic/market forecasting, transaction analytics, capital-allocation modeling, or scenario analysis. Ability to direct data scientists and select appropriate methods, technology, and development approaches for engagements.

Lead analytics workstreams for government/public sector entities, from problem definition and data assessment through modeling, validation and implementation. Manage assignments such as workforce and capacity planning, network and supply-chain optimization, economic and market forecasting, transaction analytics, capital-allocation modeling and strategic scenario analysis. Translate business/policy questions into hypotheses, build and validate models (predictive, forecasting, optimization, simulation), and apply analytics to transaction and corporate-finance questions. Provide technical leadership and direct data scientists, selecting appropriate methods and technologies for each engagement.