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

Unlock employer Saudi Arabia Direct to Company 1 hour ago · 25 Oct 2026

Financial

  • Estimate: $60k - $120k/yr*
  • Zero income tax location

Accessibility

  • Office Only
  • Visa Provided

Requirements

  • Experience: Senior
  • English: Professional
  • Arabic: Preferred

Position

About the Job
We are focused on shaping your future with confidence. Join us in our mission to help build a better working world. This role is an opportunity to be part of a high-performing Decision Modeling & Economics practice, specifically within the Government and Public sector.

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The Opportunity
We are looking for a Decision Analytics Manager to join our team. This is a hands-on technical role centered around data science and operational research, aimed at leading advanced analytics engagements that enhance strategic, operational, and investment decisions. The position primarily services government and public sector clients across the GCC, with work extending to sectors such as infrastructure, energy, investment, education, and transactions. Successful candidates will possess deep expertise in data science or operational research, strong consulting skills, leadership capabilities, and the ability to oversee multidisciplinary teams, while also translating analyses into actionable recommendations. The role offers flexibility regarding the final hiring location across MENA for the right candidate.

Your Key Responsibilities

  • Lead analytics workstreams that enable government and public sector entities to enhance decision-making, from problem definition and data assessment through modeling, validation, and implementation.
  • Conduct assignments that may include workforce and capacity planning, network and supply-chain optimization, economic and market forecasting, transaction analytics, capital-allocation modeling, and strategic scenario analysis.
  • Transform ambiguous business and policy questions into clear hypotheses, methods, and measurable outcomes; develop predictive, forecasting, optimization, or simulation models that suit the decision and the available data.
  • Apply analytics to transaction and corporate finance questions, encompassing areas like customer performance, investment cases, value creation, and capital allocation.
  • Provide technical leadership by selecting appropriate methods and technology for engagements; direct teams of data scientists, engineers, analysts, economists, and modelers, while conducting model and code reviews.
  • Establish standards for testing, documentation, version control, and model governance; identify and mitigate risks related to data quality, methodology, bias, privacy, and implementation.
  • Manage client relationships with senior stakeholders; conduct workshops to define decisions, constraints, success measures, and analytical requirements, and translate findings into executive-ready insights and recommendations.
  • Define adoption measures, performance indicators, and benefits-tracking methodologies to ensure effective analytical solutions and measurable decision value.
  • Coach junior colleagues and promote a positive learning culture, contributing to proposals, solution designs, and project presentations.
  • Develop reusable methods, code, model templates, and analytical accelerators, and help transform successful project solutions into repeatable offerings.

Skills and Attributes for Success

  • Technical depth combined with structured problem-solving skills and confident client leadership is essential.
  • Strong grounding in data science, statistics, machine learning, operational research, or applied mathematics, with the ability to clarify ambiguous questions into distinct analytical challenges.
  • Proficient in Python or R, with a working knowledge of SQL, demonstrating the ability to communicate effectively with both technical and non-technical audiences.
  • Capacity to lead interdisciplinary teams and complex analytical workstreams while managing multiple priorities and producing high-quality work within tight timelines.
  • Bring commercial awareness and a commitment to responsible data use, algorithms, and AI.

Qualifications & Experience

  • Typically, 5-10 years of relevant experience in data science, operational research, decision science, advanced analytics, or quantitative consulting.
  • Degree or equivalent expertise in a quantitative discipline such as statistics, mathematics, operational research, data science, computer science, engineering, or economics.
  • Proven experience in leading advanced analytics, optimization, or simulation assignments, preferably for government and public sector clients.
  • Demonstrated ability to validate models and effectively communicate model accuracy, uncertainties, assumptions, and limitations.
  • Experience translating technical outputs into decisions for stakeholders, and possess technical skills relevant to advanced analytics consulting including:
    • Predictive modeling, forecasting, and machine learning
    • Optimization and simulation
    • Scenario and sensitivity analysis
    • Python or R, SQL, and dealing with complex datasets
    • Model validation, testing, version control, and reproducibility
    • Development of decision tools and dashboards
  • Strong communication and client-facing consulting skills in English are mandatory.

Ideally You'll Also

  • Hold a master’s degree, PhD, or relevant professional certification.
  • Have experience with APIs, automated testing, or model deployment.
  • Have familiarity with visualization, geospatial analytics, generative AI, or agentic applications.
  • Possess experience in supporting proposals and developing client opportunities.
  • Have knowledge of the MENA regional market, particularly in the GCC, and working-level proficiency in Arabic.
  • Be open to traveling to client sites as required.

What We Look For
We seek highly motivated, analytical, logical thinkers with exceptional attention to detail and the confidence to lead. Successful Managers independently manage technically complex workstreams with minimal oversight, produce validated and reproducible models, and clearly articulate assumptions, limitations, and implications. They are adept at converting analysis into decisions, mentoring junior colleagues, improving the effective use and measurable value of analytical solutions, and transforming successful projects into reusable practice assets and recurring services.

What We Offer You
We promise to develop you with future-focused skills and world-class experiences, providing a flexible work environment that stimulates your extraordinary talents within a diverse and inclusive culture of globally connected teams.

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