As a Sr Manager Data Science and Engineering here at Honeywell Technologies, you will lead the data platform, the monthly reporting cycle, the business ideation application and the analytical insights that enable margin expansion across Honeywell Technologies. You will be accountable for the accuracy and timeliness of the Productivity and Savings Reports, your ability to drive Digitalization of our VECE Ideation & Execution processes, as well as generating action-oriented insights for senior leadership.You will report directly to our Director Data Science and Transformation, and you will work out of our Monterrey, Mexico location on a hybrid work schedule.Honeywell helps organizations solve the world's most complex challenges in automation, the future of aviation and energy transition. As a trusted partner, we provide actionable solutions and innovation through our Aerospace Technologies, Building Automation, Energy and Sustainability Solutions, and Industrial Automation business segments – powered by our Honeywell Forge software – that help make the world smarter,



safer and more sustainable.MUST HAVEMinimum of 10-12 years of experience in data engineering, analytics or data science, including a minimum of 5 years directly leading technical teams including hiring, developing and managing performance.Hands-on experience designing and operating production data pipelines on a cloud platform, including cost management, with current working proficiency in SQL and Python.Experience building and deploying predictive models in production — classification, regression, gradient boosting or time-series forecasting including validation against presente outcomes and monitoring after deployment.Experience designing and deploying data models or semantic layers used across a business, including responsibility for definitions, dimensions and their consistent application.Demonstrated ability to diagnose why a business metric is underperforming and identify the specific segment driving

📌 Sr Data Science Manager (España)
🏢 Honeywell
📍 España