Decision Intelligence Analyst - Mexico City
ailylabs
📍 mexico city🕐 4mo ago🔗 personio
Job Description
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. 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
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.
* 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