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

The Opportunity

Key Responsibilities

• Lead analytics workstreams from problem definition and data assessment through modeling, validation, and implementation.
• Deliver workforce and capacity planning, network and supply-chain optimization, economic and market forecasting, transaction analytics, capital-allocation modeling, and scenario analysis.
• Translate ambiguous business and policy questions into clear hypotheses, methods, and measurable outcomes.
• Develop predictive, forecasting, optimization, or simulation models suited to the decision and available data.
• Apply analytics to transaction and corporate-finance questions including customer performance, recurring revenue, investment cases, and capital allocation.
• Provide technical leadership and direct data scientists, engineers, analysts, economists, and modelers, including code and model reviews.
• Set standards for testing, documentation, version control, reproducibility, and model governance.
• Identify data-quality, methodological, bias, privacy, and implementation risks and define mitigations.
• Lead client relationships and facilitate workshops to define decisions, constraints, success measures, and analytical requirements.
• Translate findings into executive-ready insights, recommendations, presentations, decision tools, and dashboards.
• Coach junior colleagues and contribute to proposals, scoping, and reusable analytical accelerators.

Skills and Attributes for Success

• Strong grounding in data science, statistics, machine learning, operational research, or applied mathematics.
• Ability to turn ambiguous questions into clear analytical problems and practical decisions.
• Sound judgment in model selection, validation, interpretation, and governance.
• Hands-on Python or R with working knowledge of SQL.
• Clear communication with technical and non-technical stakeholders.
• Ability to lead multidisciplinary teams and complex analytical workstreams with limited senior oversight.
• Commercial awareness and interest in building client relationships.

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.
• Demonstrated experience leading advanced analytics, optimization, or simulation workstreams, ideally for government and public sector clients.
• Experience validating models and communicating accuracy, uncertainty, assumptions, and limitations.
• Experience reviewing technical work and translating outputs into stakeholder-ready decisions.
• Technical skills in predictive modeling, forecasting, machine learning, optimization, simulation, scenario and sensitivity analysis, Python or R, SQL, model validation, and decision tools.
• English with strong communication and client-facing consulting skills.

Ideally You'll Also

• Hold a master's degree, PhD, or relevant professional certification.
• Have experience with APIs, automated testing, or model deployment.
• Have exposure to visualization, geospatial analytics, generative AI, or agentic applications.
• Have experience supporting proposals and developing client opportunities.
• Have exposure to the MENA regional market, particularly GCC, and working-level Arabic proficiency.
• Be willing to travel to client site.

About EY