ESSENTIAL DUTIES AND RESPONSIBILITIES:
- Own and drive various Supply chain systems and process improvement– Example own master planning system and process and drive all changes , enhancements and projects related to that
- Design and Develop AI/ML based models for predictive analytics, classification, and generative AI applications to solve business problems in supply chain
- Collaborate with cross-functional teams to integrate AI models into production using MLOps practices for scalability and monitoring.
- Conduct data analysis, feature engineering, and maintain high-quality input data for optimal model performance.
- Stay up-to-date on the latest AI/ML advancements, with a focus on generative AI (e.g., GPT etc.) for innovative solutions.
- Design and build analytics tools to help supply chain and operations short and long term objectives.
- Conduct proof of concept, proof of technology. Experience in process re-engineering and make them more agile to address the dynamic business needs
- Lead workshops to drive testing, requirement gathering, solution discussion etc.
- Help and guide cross functional teams in planning activities like factory builds , order promising etc.
- Ability to do Trade-off analysis on different levers in Supply Chain
- Ability to collaborate with business partners to document business requirements and Business Process
- Analyse business requirements to create use cases and testing documentation
- Lead efforts to translate functional requirements into solutions, manage scope and estimated deliverables in all phases of the project
- Project Management Responsibility for all deliverables in all stages including solution design, analysis, coding, testing, and integration
- Understand existing business processes and technology to develop the “to be” and Align to create measurable business ROI
- Drive test planning for functional, Integration and user acceptance testing including workshops to conduct the tests
- Identify Gaps in the current Solutions and Project Manage the implementation of these Gaps working with IT
- Carrying out data and system analysis to identify technical debt/gaps and develop to-be architecture to provide scalability and flexibility to accommodate growing business needs
- Driving new solutions that can be implemented cross-functionally
- Developing key metrics around business impact and user acceptance
- Bachelor’s or Master’s degree in Data Science, Computer Science, Engineering, or Supply Chain Management.
- Strong proficiency in AI/ML algorithms, including predictive analytics, classification, and generative AI (e.g., GPT, GANs).
- Expertise in Python, R, SQL, and AI/ML frameworks such as TensorFlow or PyTorch.
- Solid experience in supply chain systems, master planning, and process re-engineering.
- Familiarity with MLOps practices for deploying and monitoring AI/ML models in production.
- Proven ability to analyse data, conduct feature engineering, and maintain high-quality input data.
- Strong project management skills, with experience in leading AI/ML and supply chain-related projects.
- Ability to collaborate with cross-functional teams and engage stakeholders in business requirement gathering and solution discussions.
- Excellent communication skills to lead workshops and translate business requirements into technical solutions.
- Demonstrated problem-solving abilities and a passion for driving innovation in AI/ML and supply chain solutions.
Western Digital thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution.
Western Digital is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at [email protected] to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
