About the role
AI summarisedThe Smart Manufacturing & Artificial Intelligence (SMAI) Global Operations Improvement Manager leads a team of data scientists in developing AI-driven solutions and advanced analytics for global manufacturing operations. The role focuses on leveraging cloud technologies like GCP and BigQuery to generate actionable insights from large data sets while collaborating with global partners to support strategic business goals.
IDMOnsiteSmart MFG/AI
Key Responsibilities
- Lead, mentor, and grow a team of data scientists focused on delivering scalable AI solutions aligned with SMAI’s global strategy
- Direct the activities of a data science team, responsible for the design, development, programming methods, processes and systems to consolidate and analyze unstructured, diverse “big data” sources
- Oversee the development of software programs, algorithms and automated processes that cleanse, integrate and evaluate large data sets from multiple disparate sources
- Translate SMAI department strategy into actionable data science initiatives that support business goals across manufacturing, supply chain, and operations
- Collaborate with global partners to identify high-impact opportunities and ensure alignment with organizational priorities
- Guide the team in designing and implementing AI/ML models using tools such as Google Cloud Platform (GCP) , BigQuery , and Vertex AI
- Promote practices in model development, validation, and monitoring using SQL , Python, and cloud-native technologies
- Champion data quality, security, and compliance across all projects
- Identify and communicate to partners, meaningful, actionable insights from large data and metadata sources
- Selects, develops, and evaluates personnel ensuring the efficient operation of the function
Requirements
- Bachelor’s or Master’s degree or equivalent experience in Data Science, Computer Science, Statistics, Engineering, or a related field
- 5+ years of experience in data science or analytics, with at least 2 years in a leadership or managerial role
- Japanese & English communication skill
- Proven track record of delivering AI-related solutions in manufacturing, operations, or supply chain domains
- Strong proficiency in SQL , Python, and data modeling techniques
- Hands-on experience with Google Cloud Platform (GCP) services such as BigQuery, Vertex AI, and Cloud Functions
- Familiarity with machine learning frameworks (e.g., TensorFlow, scikit-learn) and MLOps practices
- Ability to translate SMAI department strategy into actionable data science initiatives
- Strong partner management and communication skills across global teams
- Experience working in agile environments and managing multiple concurrent projects
- Demonstrated ability to lead and develop high-performing teams
- Passion for innovation and continuous improvement in AI and smart manufacturing technologies