Data Science Manager — Digital Transformation

Date Posted: 2026-08-19 Country: China Location: LOC3344: 7-8/F, Building N1, Fusion New Bund, No. 8, Lane 131, New Bund Avenue, Pudong, Shanghai, China I. Role Overview We are seeking a Data Science Manager who combines strong technical depth with proven leadership to join Otis' Digital Transformation (DT) organization. This role will lead a cross-functional team to build reusable AI/ML capabilities that power the Digital Ecosystem IoT Predictive Service & Maintenance offering, and drive AI adoption at scale across multiple Business Units (BUs). As the primary architecture and solution owner for the team, you will not only manage projects and people, but also personally lead the architecture design and core development of data analytics and AI projects built on the Azure ecosystem. You will also serve as a key driver of the China AI strategy, responsible for shaping and executing the local AI roadmap while ensuring alignment with the global Digital Transformation direction. II. Key Responsibilities Business Partnership & Demand Management Engage with business units across China and globally (especially the IoT / Otis One teams) to capture data and AI needs, and translate business problems into actionable technical solutions Act as the bridge between business and technology, managing priorities and stakeholder expectations Project & People Management Own project planning, project management, and resource/staff allocation to ensure delivery quality and pace Lead and develop a team of Data Scientists, Developers, and a Product Manager, fostering effective collaboration Strategic Planning Actively contribute to and drive the definition of Otis China's local AI strategy and implementation roadmap, aligning local business priorities with the global DT strategy Serve as a key enabler of China's AI capability building, driving AI adoption at scale across multiple BUs Technical Architecture & Development Lead the end-to-end architecture design and technology selection for data analytics and AI projects on the Azure ecosystem Personally contribute to the development of key AI/ML modules and build reusable AI capability platforms Own the deployment design for projects on Azure Functions / Containers Build and optimize data analytics and modeling pipelines on Databricks III. Requirements Must-Have Bachelor's degree or above in Computer Science, Data Science, Statistics, or a related field 8+ years of experience in Data Science / AI, including 3+ years of team management experience Strong expertise in the Azure data & AI ecosystem: Databricks, Azure ML, Azure Functions, Containers (AKS/ACI), etc. Solid end-to-end AI project architecture design capability, able to independently deliver solutions from data to deployment Strong hands-on machine learning / deep learning modeling skills with proficient coding ability (Python / SQL, etc.) Excellent cross-functional communication and project management skills Fluent in both Chinese and English, able to communicate effectively with domestic and global teams as well as management Nice-to-Have Experience with IoT / industrial equipment / Predictive Maintenance projects Experience delivering GenAI / LLM Agent solutions (e.g., RAG, AI Agents) Background in manufacturing or the elevator industry Experience defining and driving a business AI strategy Hands-on experience with MLOps / DataOps engineering practices IV. What We Offer A core role that leads China's AI strategy and directly influences business decisions A global platform with exposure to cutting-edge IoT and AI projects across China and abroad If you live in a city, chances are we will give you a lift or play a role in keeping you moving every day. Otis is the world’s leading elevator and escalator manufacturing, installation, and service company. We move 2.4 billion people every day and maintain approximately 2.4 million customer units worldwide, the industry's largest Service portfolio. You may recognize our products in some of the world’s most famous landmarks including the Eiffel Tower, Empire State Building, Burj Khalifa and the Petronas Twin Towers! We are 72,000 people strong, including engineers, digital technology experts, sales, and functional specialists, as well as factory and field technicians, all committed to meeting the diverse needs of our customers and passengers in more than 200 countries and territories worldwide. We are proud to be a diverse, global team with a proven legacy of innovation that continues to be the bedrock of a fast-moving, high-performance company. When you join Otis, you become part of an innovative global industry leader with a resilient business model. You’ll belong to a diverse, trusted, and caring community where your contributions, and the skills and capabilities you’ll gain working alongside the best and brightest, keep us connected and on the cutting edge. We provide opportunities, training, and resources, that build leadership and capabilities in Sales, Field, Engineering and Major Projects and our Employee Scholar Program is a notable point of pride, through which Otis sponsors colleagues to pursue degrees or certification programs. Today, our focus more than ever is on people. As a global, people-powered company, we put people – passengers, customers, and colleagues – at the center of everything we do. We are guided by our values that we call our Three Absolutes – prioritizing Safety, Ethics, Quality in all that we do. If you would like to learn more about environmental, social and governance (ESG) at Otis click here . Become a part of the Otis team and help us #Buildwhatsnext! Otis is An Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age, or any other protected class according to applicable law. To request an accommodation in completing an employment application due to a special need or a disability, please contact us at careers@otis.com. Privacy Policy and Terms: Click on this link to read the Policy and Terms