Engineering Data Quality Leader

We are your Energy Technology Partner.

We electrify, automate, and digitalize every industry, business, and home, driving efficiency and sustainability for all.

At Schneider Electric, our values - IMPACT (Inclusion, Mastery, Purpose, Action, Curiosity, Teamwork) - are the foundation of everything we do.

Becoming an Impact Maker means turning sustainability ambitions into actions at the intersection of automation, electrification, and digitization.

Are you ready to lead the digital transformation to create a more sustainable world?

If you are up to challenge your creativity and make an impact, we are excited to welcome you!

Are you passionate about Engineering, data and transformation

Engineering data is at the heart of how we design, manufacture and deliver our products to our customers.

Its quality and reliability are critical to our success.

We are looking for an Engineering Data Quality (EDQ) Leader to drive our Engineering Data Quality roadmap and lead the deployment of robust data governance across our Europe Hub.

Your mission

As EDQ Leader, you will functionally lead and coordinate the Engineering Data Quality team, ensuring on-time and on-quality delivery while building a strong Engineering Data roadmap.

You will work closely with Engineering teams, Business Unti council and governance, industrial transformation projects, and PDM communities to make Engineering Data more reliable, complete and ready to support our business transformations and operations.

Your key responsibilities


* Define and drive the Engineering Data roadmap, translating business and transformation needs into clear priorities.


* Lead and coordinate the EDQ team, managing capacity, priorities and workload while ensuring on-time and on-quality delivery.


* Strengthen Engineering Data governance, deploying First Time Right standards and No Data, No Launch principles.


* Secure data readiness for key transformations, including industrial transformation projects and ERP deployment.


* Monitor Engineering Data Quality performance through clear KPIs and consolidated dashboards.


* Build strong stakeholder alignment and coordinate the different Engineering Data communities and interfaces.


* Develop Engineering Data capabilities through PDM expertise, communities of practice and upskilling.


* Leverage AI-enabled data management to improve efficiency, data quality and reliability.

What will make you successful


* Strong background in Engineering, Engineering Data Management or Product Lifecycle Management


* Good understanding of PDM environments and data governance


* Proven experience in project or team coordination in a cross-functional environment


* Strong ability to structure, prioritize and drive transformation


* Excellent stakeholder management and communication skills


* Strong results orientation, ownership and collaborative leadership


* Interest in digital transformation, data analytics and ...