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

Opportunity

Analytics delivery

• Lead work from problem definition and data assessment through modeling, validation, and implementation.
• Work may include workforce and capacity planning, network and supply-chain optimization, forecasting, transaction analytics, capital allocation, and strategic scenario analysis.
• Develop predictive, forecasting, optimization, and simulation models suited to the decision and available data.
• Apply analytics to corporate-finance and transaction questions, including customer performance, recurring revenue, investment cases, and value creation.

Technical leadership and governance

• Select methods and technologies, direct multidisciplinary teams, and review code and models.
• Set standards for testing, documentation, version control, reproducibility, and model governance.
• Identify and mitigate data-quality, methodological, bias, privacy, and implementation risks.
• Guide prototypes toward repeatable tools, production solutions, or client-owned processes; use AI-enabled workflows with human review and approved data controls where appropriate.

Client leadership and practice building

• Lead client relationships and workshops, translate analytical findings for nontechnical audiences, and deliver presentations, recommendations, tools, and dashboards.
• Define adoption measures, performance indicators, and benefits tracking; manage teams, reviews, risks, budgets, and timelines.
• Coach junior colleagues and contribute to proposals, scoping, solution design, estimates, and client presentations.
• Develop reusable methods, code, templates, and accelerators and help create repeatable offerings and recurring analytical services.

Required qualifications

• 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 field such as statistics, mathematics, operational research, data science, computer science, engineering, or economics.
• Experience leading advanced analytics, optimization, or simulation workstreams; public-sector client experience is ideal.
• Experience validating models and communicating accuracy, uncertainty, assumptions, limitations, and stakeholder implications.
• Hands-on Python or R, working SQL knowledge, and strong English communication and client-facing consulting skills.
• Ability to lead multidisciplinary teams and complex workstreams, manage parallel priorities, and deliver high-quality work under tight timelines.

Relevant technical skills

• Predictive modeling, forecasting, machine learning, optimization, simulation, and scenario and sensitivity analysis.
• Python or R, SQL, complex datasets, model validation and testing, version control, reproducibility, decision tools, and dashboards.

Preferred qualifications

• A master’s degree, PhD, or relevant professional certification is advantageous.
• Experience with APIs, automated testing, model deployment, visualization, geospatial analytics, generative AI, or agentic applications is advantageous.
• Proposal support, client opportunity development, MENA or GCC market exposure, and working-level Arabic are advantageous.
• Willingness to travel to client sites is desirable.

What EY offers

• EY describes a flexible environment, future-focused skills development, and experience within diverse, globally connected teams.

About EY