Master Data Governance Lead - Global Automotive

Job Posting Title : Master Data Governance Lead - Global Automotive

Job ID : 140285

Band / Level : 5-1-C

Education Experience : Bachelors Degree (High School +4 years)

Employment Experience : 7-10 years

At TE, you will unleash your potential working with people from diverse backgrounds and industries to create a safer, sustainable and more connected world.

Job Overview

Monitors the supply chain performance, identifies trends and risks, and provides recommendations to reduce risk, achieve efficiency and manage cost across the supply chain.

Roles & Responsibilities

• Develop together with the Regional MD Experts and the COE the global master data governance strategy and roadmap.
• Establish and maintain governance structures, policies, and procedures.
• Facilitate alignment and collaboration across regional teams to ensure consistency.
• Define and implement global standards for master data processes, workflows, and reference data.
• Ensure commonly agreed definitions and data models are adopted across regions.
• Monitor and improve Master Data quality to support digital tools, planning systems, and operational excellence.
• Work closely with Supply Chain teams, Manufacturing, Customer focusing teams as well as system development teams to understand data needs and pain points.
• Act as a change agent to promote data governance with best practices and continuous improvement.
• Develop and publish analytical tools and reporting that support the Master Data Governance journey in collaboration with the Business Analytics team.
• Utilize analytical tools to assess data quality, identify gaps, and drive corrective actions.
• Provide regular reporting and insights to leadership on data governance KPIs.
• Develop training materials and conduct workshops to build data governance awareness.
• Communicate effectively across all levels of the organization to ensure buy-in and adoption.

Desired Candidate

What your background should look like

Generally requires Bachelors degree in appropriate field with a minimum of 8 years of experience Masters degree or higher or local equivalent may be preferred at this level

Competencies

Values : Integrity, Accountability, Inclusion, Innovation, Teamwork

ABOUT TE CONNECTIVITY

TE Connectivity plc (NYSE : TEL) is a global industrial technology leader creating a safer, sustainable, productive, and connected future. 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, medical technology and more. With more than 85,000 employees, including 9,000 engineers, working alongside customers in approximately 130 countries, TE ensures that EVERY CONNECTION COUNTS. Learn more at and on , , and

WHAT TE CONNECTIVITY OFFERS :

We are pleased to offer you an exciting total package that can also be flexibly adapted to changing life situations - the well-being of our employees is our top priority!

IMPORTANT NOTICE REGARDING RECRUITMENT FRAUD

TE Connectivity has become aware of fraudulent recruitment activities being conducted by individuals or organizations falsely claiming to represent TE Connectivity. Please be advised that TE Connectivity never requests payment or fees from job applicants at any stage of the recruitment process. All legitimate job openings are posted exclusively on our official careers website at te.com / careers, and all email communications from our recruitment team will come only from actual email addresses ending in @te.com . If you receive any suspicious communications, we strongly advise you not to engage or provide any personal information, and to report the incident to your local authorities.

Across our global sites and business units, we put together packages of benefits that are either supported by TE itself or provided by external service providers. In principle, the benefits offered can vary from site to site.

Skills Required

Master Data Management, Sap Ibp, Data Analytics, Digital Transformation, Supply Chain Management