CONTINUOUS IMPROVEMENT ANALYST II

Job Overview

Job Summary
Support the Plant TEOA Manager in planning and executing TEOA (Total Enterprise Operational Excellence) initiatives to achieve cost, quality, and delivery goals. Drive continuous improvement, train Value Stream (VS) teams, and implement digital factory projects to promote operational excellence. This role involves significant communication with China plants, making Chinese language proficiency highly preferable.

Job Description

Policies and Procedures
Execute TE's Continuous Improvement policies, procedures and systems in order to provide working guidelines and direction.

Digital Factory Corporate Application Deployment
(i)Responsible for the implementation and deployment of corporate-developed applications within factory settings, ensuring seamless integration and operation.
(ii)Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
(iii)Continuously improve and optimize the performance of applications based on user feedback and system analytics.

Digital Factory Local Application Development
(i)Design, develop, and maintain digital factory applications that improve operational efficiency and support business growth within our manufacturing facilities.
(ii)Collaborate with cross-functional teams to understand and translate business requirements into technical solutions that drive process optimization and innovation.

AI Model Development
(i) Seamless collaboration with corporate AI teams to design and develop advanced AI models and tailored to specific business problems or application requirements.
(ii) Conduct research on the latest AI techniques and algorithms to continuously improve the performance and accuracy of existing models.

AI Model Deployment and Maintenance
(i)Oversee the deployment of AI models from development environments to production environments, ensuring a smooth transition and minimal disruption to business operations.
(ii)Set up monitoring and alert systems to detect and respond to any issues that may arise during the operation of the AI systems.
(iii)Provide ongoing maintenance and support for deployed AI models, including updating and retraining as needed to adapt to changing business conditions or data characteristics.

Collaboration and Communication
(i)Work closely with cross-functional teams including data scientists, software engineers, product managers, and domain experts to define project requirements and deliverables.
(ii)Communicate technical findings and progress to non-technical stakeholders in a clear and understandable manner.
(iii)Participate in team meetings, code reviews, and knowledge sharing sessions to contribute to the overall team development.

Competencies