Data Science (AI) Manager

Job Overview

Tyco Electronics Singapore Pte Ltd (TE Connectivity) is looking for an R&D Manager to join our Corporate R&D Center.  The manager will lead the newly formed Artificial Intelligence team to create an AI Hub for TE in Singapore.  Team members will collaborate with R&D peers, business unit partners as well as local university and government research centers to undertake projects that will embed AI in TE’s design and process development work flows to deliver a competitive advantage to TE’s technologies. This position is based at our Singapore HQ. 
 
The Singapore Corporate R&D Center is chartered to work with the CTO’s and Advanced Development Groups of TE Business Units to identify technical areas of interest for R&D and develop forward looking technologies that will deliver broad value to the business. To improve the New Product Development process, TE is expanding our Artificial Intelligence capabilities as a part of our Digitalization strategy to improve efficiency, decrease cost, and decrease time to market.   
 

Job Responsibilities

• Lead the AI team that deliver high quality data science solutions and AI/ML infrastructure to support new product development (NPD) in TE
  • Lead the team to adopt cutting-edge data science techniques (using in-house coding tools or commercial software) and develop machine learning algorithms to solve engineering problems (such as material formulation, manufacturing process, product design, etc.) based on experimental and simulation data sets.
  • Collaborate with multi-discipline specialists in data science, electronics, material science, mechanics, additive manufacturing, and other fields.
  • Work with local and global TE sites, and external customers/vendors, to address urgent or strategic needs.
  • Partner with Singapore research institutes and universities to develop advanced AI techniques.
• Develop and execute the roadmap and strategy of AI
• Manage portfolio of projects to drive completion of tasks and ensure timely delivery of high-quality results that reduce cost, speed time to market and increase quality.
• Enhance the awareness across TE of the AI capabilities of the Singapore AI Hub and promote the democratization of AI in TE at the enterprise scale.
   

Job Requirements

• Proven track record of team management and technical leadership
• Proven experience of solving engineering problems with AI, data science and machine learning
• Bachelor’s degree (or higher) in Engineering (or related discipline) with 10 years working experience in product development or R&D
• Strong multitasking, prioritization, and ability to delegate where appropriate and keep resources aligned with critical priorities.
• Strong verbal and written communication, and presentation skills with interpersonal skills to work with multiple level and multi-discipline stake holders.
• Project management expertise, PMP Certification Preferred

Preferred: 
 

• Familiarity with product design, material development and Additive Manufacturing
• Knowledge of TE’s business, products, material, and manufacturing processes (molding, extrusion, plating, stamping, assembly etc.)
• Broad knowledge of polymer and metal material properties (mechanical, electric, thermal etc.) 
• Hands-on experience of data science and machine learning algorithms involving multiple data types
• Programming skill in Python, C++, Java or similar languages 

• Proven track record of team management and technical leadership
• Proven experience of solving engineering problems with AI, data science and machine learning
• Bachelor’s degree (or higher) in Engineering (or related discipline) with 10 years working experience in product development or R&D
• Strong multitasking, prioritization, and ability to delegate where appropriate and keep resources aligned with critical priorities.
• Strong verbal and written communication, and presentation skills with interpersonal skills to work with multiple level and multi-discipline stake holders.
• Project management expertise, PMP Certification Preferred

Preferred: 
 

• Familiarity with product design, material development and Additive Manufacturing
• Knowledge of TE’s business, products, material, and manufacturing processes (molding, extrusion, plating, stamping, assembly etc.)
• Broad knowledge of polymer and metal material properties (mechanical, electric, thermal etc.) 
• Hands-on experience of data science and machine learning algorithms involving multiple data types
• Programming skill in Python, C++, Java or similar languages 

Competencies