Business Transformation Consultant-Manufacturing
IBM · Hsinchu, Taiwan · Consulting
About this role
IBM is hiring a mid-level Business Analyst in the operations function based in Hsinchu, Taiwan. The posting calls out experience with Machine Learning, Data Analytics.
- Role
- Business Analyst
- Function
- operations
- Level
- mid
- Track
- Individual contributor
- Employment
- Full-time
- Location
- Hsinchu, Taiwan
- Department
- Consulting
More roles at IBM
Job description
from IBM careersIntroduction
A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You’ll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you’ll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You’ll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences.
Your role and responsibilities
As a Business Transformation Consultant in Manufacturing, you will guide clients through the implementation of Industry 4.0 strategies, leveraging AI and IoT technologies to enhance productivity and accelerate digital transformation. You will utilize your expertise in core consulting skills and industry-specific knowledge to analyze client data and formulate solutions. Your primary responsibilities will include: • Analyze Client Data: Utilize core consulting skills and industry-specific knowledge to analyze client data, formulate hypotheses, and test conclusions to determine the best solutions for manufacturing operations. • Implement Industry 4.0 Strategies: Guide clients through the implementation of Industry 4.0 strategies, leveraging AI and IoT technologies to enhance productivity and accelerate digital transformation. • Stay Updated on Emerging Technologies: Remain current on the latest AI, IoT, and Watson assets and solutions, ensuring successful application and integration of these emerging technologies in manufacturing operations. • Deliver Digital Solutions: Focus on delivering cloud-based digital floor solutions, machine learning, and data-driven insights to improve throughput, yield, and production process optimization.
Required technical and professional expertise
• Exposure to Industry 4.0 Strategies: Familiarity with guiding clients through the implementation of Industry 4.0 strategies, leveraging AI and IoT technologies to enhance productivity and accelerate digital transformation. • Core Consulting Skills: Experience working with core consulting skills and industry-specific knowledge to analyze client data, formulate hypotheses, and test conclusions to determine the best solutions for manufacturing operations. • Emerging Technologies Knowledge: Exposure to the latest AI, IoT, and Watson assets and solutions, with an understanding of their successful application and integration in manufacturing operations. • Cloud-Based Digital Solutions: Familiarity with delivering cloud-based digital floor solutions, machine learning, and data-driven insights to improve throughput, yield, and production process optimization. • Data Analysis: Experience working with client data to formulate hypotheses, test conclusions, and determine the best solutions for manufacturing operations.
Preferred technical and professional experience
• Advanced Data Analysis Tools: Exposure to specialized data analysis software and tools used in manufacturing operations, such as those utilizing machine learning and data-driven insights. • Industry-Specific Knowledge: Familiarity with the latest developments and advancements in the manufacturing industry, including trends and innovations related to Industry 4.0 strategies. • AI and IoT Solutions: Experience working with AI and IoT technologies, including cloud-based digital floor solutions, to enhance productivity and accelerate digital transformation in manufacturing settings.