Lead Data & Analytics Engineer (Builder-Lead Role)

Build the data backbone for AI-powered optimization. This is a hands-on builder-lead role. You will shape the architecture, write code, make important technical decisions, and help grow the engineering capability around you. Approximately 70% of your time will be hands-on engineering and architecture , with the remaining time focused on technical leadership and mentoring. AIMMS is building the next generation of data and AI capabilities for enterprise decision-making in areas such as supply chain and energy. We are looking for a Lead Data & Analytics Engineer to help turn this vision into production software. Your first mission: SENSAI Data Ready You will begin with product ownership for SENSAI Data Ready , an AI-native product that addresses one of the biggest bottlenecks in supply-chain analytics. Preparing large, imperfect customer datasets for optimization models can take weeks of manual work. SENSAI enables supply-chain analysts to use conversational, agentic AI to inspect, join, validate, and transform multi-million-row datasets into reusable execution recipes—in minutes. From there, your scope will grow to defining and building the shared, persistent data backbone that enables future AIMMS applications. This is how you make a difference: Design and build scalable data products for large datasets Develop reliable AI-agent workflows for data inspection, transformation, and validation Solve challenging problems involving SQL generation, schema drift, joins, performance, and data quality Define the architecture and technical direction of the AIMMS Data Backbone Build production-quality services, APIs, tests, and CI/CD pipelines Research, prototype, and evaluate new technologies Mentor engineers and raise the technical bar across the team Work closely with Product, domain experts, and technical leadership