Your ideal profile
2-5 years experience in manufacturing, operations, process development, industrial engineering, automation, digital transformation, analytics, or related technical disciplines.
Experience working within manufacturing environments and understanding manufacturing processes.
Experience with data analytics, digital manufacturing, automation, AI, machine learning, business intelligence, or process improvement initiatives is highly desirable.
Technical Skills
Strong understanding of manufacturing processes and industrial operations.
Knowledge of AI, Machine Learning, Generative AI, Digital Assistants, Advanced Analytics, or Intelligent Automation concepts.
Experience with tools such as Microsoft Copilot, Power Platform, Power BI, SQL, Python, Azure AI, Microsoft Fabric, or related analytics platforms is highly desirable.
Familiarity with MES, ERP, manufacturing data systems, industrial databases, and operational reporting environments.
Practical knowledge of Lean Manufacturing, TEOA, Six Sigma, Value Stream Mapping, and Continuous Improvement methodologies.
Strong analytical and problem-solving skills with ability to translate business challenges into technical solutions.
Leadership & Communication
Excellent communication, presentation, facilitation, and stakeholder management skills.
Ability to work effectively across manufacturing, engineering, operations, IT, and executive leadership teams.
Strong project management and organizational skills.
Ability to influence without direct authority and drive cross-functional collaboration.
Travel
Travel up to 25-30%, including international manufacturing locations.
Location
Remote .
Competencies
SET : Strategy, Execution, Talent (for managers)
ABOUT TE CONNECTIVITY
TE Connectivity plc (NYSE: TEL) is a global industrial technology leader creating a safer, sustainable, productive, and connected future. As a trusted innovation partner, our broad range of connectivity and sensor solutions enable the distribution of power, signal and data to advance next-generation transportation, energy networks, automated factories, data centers enabling artificial intelligence, and more.
