Decision Intelligence Analyst - Mexico City

Job description

Mission As a Decision Intelligence Analyst , you will be at the heart of how Aily's platform comes to life for our clients. You will own the day-to-day execution of client integrations — preparing and managing data, running and optimizing AI models, and ensuring that every tenant delivers the highest possible quality and business impact. Your profile This is a hands-on, execution-focused role based in Mexico City for someone who is analytical, detail-oriented, and genuinely excited about making AI work in the real world. You will work closely with an AI Delivery Lead and collaborate across client-facing and technical teams to turn business needs into working, high-impact AI solutions. What you'll do: Prepare, structure, and upload client data into Aily's proprietary data models, ensuring accuracy, quality, and completeness Adapt and configure data models to fit specific client contexts, business processes, and decision workflows Run and operate AI models end-to-end, taking ownership of model performance and output quality across client tenants Execute model fine-tuning and optimization cycles to continuously improve decision outcomes and business relevance Monitor and validate AI outputs on an ongoing basis, identifying inconsistencies and proactively resolving quality issues Develop a deep understanding of each client's business routines, user workflows, and decision-making processes to ensure AI solutions are practical, relevant, and adopted Track and report on tenant health metrics, surfacing insights and recommendations to maximize client impact Collaborate with the AI Delivery Lead, Product, and Engineering teams to flag issues, share learnings, and contribute to platform improvements Your Profile We're looking for an analytical and execution-driven professional who combines technical aptitude with a strong sense of ownership and business curiosity. What you bring: Educational background: Bachelor's degree in Computer Science, Data Science, Mathematics, Statistics, or a related field Technical foundation: Proficiency in Python and SQL; solid understanding of data structures and modeling concepts Execution mindset: Strong attention to detail, a structured approach to problem-solving, and a drive to get things done with high quality Operational ownership: Comfortable taking responsibility for the quality and performance of the solutions you manage Learning agility: Eager to deepen expertise in AI decision systems, model fine-tuning, and agentic AI architectures Collaboration: Clear communicator who works effectively across technical and non-technical stakeholders Adaptability: Able to context-switch across different industries, business functions, and client environments User empathy: Genuine interest in understanding how end users interact with AI in their daily work, and what makes solutions truly useful Bonus points if you have: Familiarity with ML frameworks such as scikit-learn, PyTorch, or similar Experience with cloud platforms (AWS, GCP, or Azure) Previous internship or work experience in a data, analytics, or AI-related role Exposure to enterprise software implementations or client-facing technical roles Who are we? At Aily Labs, we're building the AI operating system for business decisions. Our platform empowers organizations to make faster, smarter, and more consistent decisions by combining cutting-edge AI with deep business context. We work with leading enterprises across industries to transform how decisions are made — from strategy to execution. We're growing fast, and we're looking for exceptional people who want to shape the future of AI-driven decision-making. What sets us apart? Work on one of the most exciting problems in enterprise AI — how organizations make decisions at scale Join a team of world-class engineers, scientists, and operators building something genuinely new Competitive salary and equity package Flexible, remote-first culture with the option to work from our offices in Lisbon and Munich A culture that values ownership, curiosity, and direct feedback