Ai & Data Intelligence – Engineering Manager

Direct message the job poster from Schindler GroupSchindler is a global leader in elevator, escalator, and moving walkway solutions, operating in over 100 countries.Every day, our systems move more than a billion people, helping shape the flow of urban life.At Schindler, we don't just build mobility solutions — we build careers, innovation, and impact.Join Us as an AI & Data Intelligence Engineering Manager (m/f/d)Location:Milan, Lombardy, Italy (Hybrid 1-2 dd/week from home)Ready to Lead the Future of Mobility?We are looking for a visionaryAI and Data Intelligence Engineering Managerto lead advanced initiatives inData Science, Artificial Intelligence, IoT, Data Engineering, and ML Ops.This role combines technical depth with strategic leadership, ensuring robust architectures, scalable systems, and operational excellence across AI and data platforms.You will lead a high-performing team of Data Scientists, Data Engineers, and DevOps/ML Ops specialists, fostering collaboration and innovation to deliver impactful solutions that transform business and customer experiences.Why Schindler?Lead Innovation:Shape AI and data engineering strategies for next-generation intelligent systems.Global Impact:Influence mission-critical applications and digital ecosystems worldwide.Collaborate with Experts:Work alongside top talent in AI, IoT, and data technologies.Continuous Learning:Stay ahead with emerging trends in AI, ML Ops, and data engineering.Your ResponsibilitiesLead and develop a multidisciplinary engineering team (Data Science, Data Engineering, DevOps/ML Ops, Cloud Architecture).Define and execute the AI and Data Intelligence technology roadmap aligned with business objectives.Drive architecture design for data platforms, AI models, IoT integrations, and ML Ops pipelines.Support Program Managers in planning workloads, assigning resources, and ensuring timely delivery.Conduct performance reviews, coach team members, and foster continuous improvement.Translate business needs into actionable technical strategies.Ensure best practices in secure development, data governance, and scalable system design.Promote adoption of state-of-the-art tools and continuous improvement initiatives.Facilitate collaboration across departments and international locations.What You BringProven experience in AI/ML systems and data engineering.Strong knowledge of ML Ops, DevOps/DevSecOps, and cloud platforms (Azure, AWS, GCP).Hands-on expertise in data pipelines, model deployment, and scalable architectures.Experience leading multidisciplinary engineering teams in an international environment.Proficiency in Agile methodologies (Scrum, SAFe, Kanban).Excellent leadership, communication, and stakeholder management skills.Fluent in English; additional languages are a plus.Qualifications That Will Strengthen Your ProfilePhD in Computer Science, AI, Data Science, or related field.Experience with IoT architectures.Track record of delivering AI-driven products in production environments.Strong analytical and problem-solving skills with an innovative mindset.Passion for emerging technologies and continuous improvement.Experience with explainability tools (SHAP, LIME).Ready to Elevate Your Career?If you're excited to lead AI and data engineering strategies for next-generation intelligent systems, we want to hear from you.Join Schindler and be part of a global company that values innovation, collaboration, and professional growth.Apply Today and Make an Impact with SchindlerDiversity & InclusionAt Schindler Group we value inclusion and diversity, and practice equity to create equal opportunities for all.We endeavor that all qualified applicants will receive consideration for employment without regard to age, race, ethnic background, color, religious affiliation, union affiliation, gender, gender identity, sexual orientation, marital status, national origin, nationality, genetics and health or disability.Seniority levelMid-Senior levelEmployment typeFull-timeJob functionInformation TechnologyIndustriesIndustrial Machinery Manufacturing and Machinery Manufacturing#J-*****-Ljbffr