Decision Intelligence Analyst

Role overview

This opportunity is being shared on behalf of a partner organization that handles applications and the rest of the hiring process. The partner company is seeking a Decision Intelligence Analyst located in the United Arab Emirates.

The role is central to an AI-powered decision intelligence platform. The emphasis is not simply on producing answers, but on checking whether those answers are logically coherent, well supported, and suitable for decision-making. In this position, you will serve as a quality layer for reasoning systems, assessing how conclusions are reached rather than only reviewing the final result. You will collaborate with product and research teams to improve the reliability of AI judgment frameworks. The work environment is analytical, research-focused, and built around structured thinking and ongoing refinement. Your contribution will directly affect the trustworthiness and performance of advanced decision systems.

Key accountabilities

• Review AI-generated decision outputs to verify that the logic is consistent, the reasoning is robust, and the overall output is dependable, with special attention to multi-step inference and trade-off analysis.
• Identify recurring breakdowns, inconsistencies, or drift in reasoning patterns and record the weaknesses that appear repeatedly across decision flows.
• Create structured feedback loops and evaluation rubrics that help improve the quality of AI judgment over time.
• Support training framework development by building edge-case libraries and structured examples that can be used to refine model behavior.
• Set and uphold measurable benchmarks for decision-quality outputs so results remain consistent and reliable over time.
• Work alongside product, research, and engineering stakeholders to align improvements in reasoning quality with product direction and roadmap needs.
• Spot broader logic issues early and recommend structured changes that strengthen decision architecture.

Requirements

• Excellent analytical ability and the capacity to dissect complex, multi-step reasoning and assess it critically.
• Prior exposure to AI systems, decision frameworks, applied analytics, or another disciplined problem-solving setting.
• Ability to convert qualitative judgment into clear, measurable evaluation criteria.
• Strong written communication skills with an emphasis on clarity and structured expression.
• Comfort handling uncertainty, edge cases, and incomplete data while still maintaining analytical discipline.
• Backgrounds may include applied AI evaluation, consulting, economics, operations research, philosophy of logic, or similarly rigorous analytical disciplines.
• A mindset that questions, refines, and improves reasoning systems instead of accepting outputs at face value.

Benefits

• Chance to contribute to advanced AI-driven decision intelligence systems with meaningful business impact.
• Remote or flexible work options, depending on the organization’s setup.
• Exposure to advanced AI research and collaboration with product and engineering teams.
• Competitive pay aligned with experience and skill level.
• The ability to influence the reliability and quality of enterprise-grade AI decision systems.
• A fast-moving, intellectually demanding environment that emphasizes learning and continuous improvement.

Application and data handling

This hiring process uses an AI-assisted matching workflow designed to review applications quickly, fairly, and against the core requirements of the role. The system helps identify the strongest-fit candidates, and the shortlist is then passed to the hiring company. Interviews, assessments, and final decisions are managed internally by the employer.

By submitting an application, you agree that your personal data may be processed to assess your candidacy and shared with the hiring employer where relevant. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws, including GDPR. You may request access, correction, deletion, or objection at any time.

Artificial intelligence tools may be used to support parts of the recruitment workflow, including application review, resume analysis, response assessment, and the detection of inconsistencies or verification signals in submitted materials using available information. These tools assist the recruitment team but do not replace human judgment. Final hiring decisions are made by people. For more information about data processing, contact the hiring team.