Engineering MDM Manager
Engineering MDM Manager

Engineering MDM Manager

Full-Time 70000 - 90000 £ / year (est.) No home office possible
Kagool

At a Glance

  • Tasks: Lead engineering data transformation and optimise master data management across manufacturing environments.
  • Company: Join a forward-thinking company at the forefront of engineering data innovation.
  • Benefits: Enjoy a competitive salary, comprehensive benefits, and opportunities for professional growth.
  • Other info: Collaborative environment with exciting projects in automotive, aerospace, and high-tech sectors.
  • Why this job: Make a real impact by driving data governance and transformation in a dynamic industry.
  • Qualifications: Proven experience in Engineering MDM and strong knowledge of PLM and SAP systems.

The predicted salary is between 70000 - 90000 £ per year.

We are looking for an experienced Engineering MDM (Master Data Management) Manager to lead the assessment, governance, and optimisation of engineering and product master data across complex manufacturing environments. This role focuses on reviewing legacy PLM and ERP-driven data models, processes, and integrations, assessing their alignment to best practice, and driving a fit-to-standard data strategy. You will ensure that engineering data is structured, governed, and aligned across systems and functions—enabling consistency from design through manufacturing and into service. You will take a cross-domain perspective, understanding how engineering data decisions impact downstream processes in manufacturing, supply chain, and service, particularly within SAP-centric landscapes.

Key Responsibilities

  • Lead the assessment of engineering master data, PLM systems, and related processes, identifying gaps in quality, governance, and structure.
  • Define and implement MDM strategies and governance frameworks for product and engineering data.
  • Conduct fit-to-standard reviews, aligning legacy data models and processes to best practice and platform standards.
  • Drive data harmonisation and standardisation across PLM and SAP (ECC / S/4HANA) environments.
  • Own and optimise key data objects including: Material masters, BOMs (EBOM, MBOM, SBOM), Document and specification data, Engineering change records.
  • Ensure alignment of engineering data across engineering, manufacturing, and service domains, managing cross-functional dependencies and impacts.
  • Define and improve data lifecycle processes, including creation, change, release, and obsolescence.
  • Collaborate with business and IT stakeholders to improve data quality, governance, and ownership models.
  • Support transformation initiatives including PLM modernisation, SAP programmes, and digital thread enablement.
  • Lead workshops and provide thought leadership on data-driven transformation.

Required Experience & Skills

  • Proven experience in an Engineering MDM, PLM, or Product Data Management leadership role.
  • Strong background in engineering and product master data structures within manufacturing environments.
  • Experience assessing and improving legacy PLM and ERP data landscapes.
  • Deep understanding of SAP (ECC and/or S/4HANA), particularly material master, BOM, and integration with engineering systems.
  • Hands-on experience with PLM platforms (e.g., Teamcenter, Windchill, ENOVIA, or similar).
  • Expertise in: BOM management and transformation, Engineering Change Management (ECM), Data governance and data quality frameworks.
  • Strong understanding of cross-domain data dependencies (engineering → manufacturing → service).
  • Ability to drive fit-to-standard adoption and challenge bespoke legacy approaches.
  • Excellent stakeholder engagement and leadership skills.

Desirable

  • Experience in MDM or data governance tools and frameworks.
  • Exposure to SAP MDG (Master Data Governance).
  • Experience in PLM/SAP transformation or migration programmes.
  • Knowledge of digital thread / digital continuity concepts.
  • Industry experience in automotive, aerospace, industrial manufacturing, or high-tech.

What We Offer

  • Opportunity to lead enterprise-wide engineering data transformation initiatives.
  • Work at the intersection of PLM, SAP, and MDM strategy.
  • Collaborative, forward-thinking environment.
  • Competitive salary and benefits package.

Engineering MDM Manager employer: Kagool

Join a forward-thinking company that values innovation and collaboration, where as an Engineering MDM Manager, you will lead transformative initiatives in engineering data management within a dynamic manufacturing environment. We offer a competitive salary and benefits package, alongside ample opportunities for professional growth and development, ensuring you thrive in your career while making a meaningful impact across the organisation.
Kagool

Contact Detail:

Kagool Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Engineering MDM Manager

✨Tip Number 1

Network like a pro! Reach out to your connections in the engineering and manufacturing sectors. Attend industry events or webinars where you can meet potential employers and showcase your expertise in MDM and PLM.

✨Tip Number 2

Prepare for interviews by brushing up on your knowledge of SAP and PLM systems. Be ready to discuss how you've tackled data governance challenges in the past and how you can drive fit-to-standard strategies in their organisation.

✨Tip Number 3

Showcase your thought leadership! Consider writing articles or sharing insights on platforms like LinkedIn about data-driven transformation in engineering. This will position you as an expert and attract attention from hiring managers.

✨Tip Number 4

Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Tailor your application to highlight your experience with engineering master data and cross-domain dependencies.

We think you need these skills to ace Engineering MDM Manager

Master Data Management (MDM)
Product Lifecycle Management (PLM)
Data Governance
Data Quality Frameworks
SAP (ECC / S/4HANA)
BOM Management
Engineering Change Management (ECM)
Data Harmonisation
Cross-Domain Data Dependencies
Stakeholder Engagement
Leadership Skills
Fit-to-Standard Adoption
Legacy Data Assessment
PLM Platforms (e.g., Teamcenter, Windchill, ENOVIA)
Digital Thread Concepts

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the Engineering MDM Manager role. Highlight your experience with PLM and ERP systems, and don’t forget to showcase your skills in data governance and quality frameworks. We want to see how your background aligns with our needs!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about engineering data management and how your expertise can drive transformation at StudySmarter. Keep it engaging and relevant to the job description.

Showcase Your Achievements: When detailing your experience, focus on specific achievements that demonstrate your ability to lead data transformation initiatives. Use metrics where possible to quantify your impact—this helps us see the value you can bring to our team!

Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to track your application and ensure it reaches the right people. Don’t miss out on this opportunity!

How to prepare for a job interview at Kagool

✨Know Your Data Inside Out

Make sure you have a solid understanding of engineering master data, PLM systems, and the specific challenges faced in manufacturing environments. Brush up on your knowledge of SAP (ECC/S/4HANA) and be ready to discuss how you've tackled data governance and quality issues in the past.

✨Showcase Your Leadership Skills

As an Engineering MDM Manager, you'll need to lead workshops and engage with stakeholders. Prepare examples of how you've successfully led teams or projects in the past, particularly in driving data harmonisation and standardisation across complex systems.

✨Prepare for Fit-to-Standard Discussions

Be ready to discuss your approach to fit-to-standard reviews and how you've aligned legacy data models with best practices. Think about specific instances where you've challenged bespoke approaches and driven adoption of standardised processes.

✨Understand Cross-Domain Impacts

Demonstrate your ability to see the bigger picture by discussing how engineering data decisions affect downstream processes in manufacturing and service. Be prepared to explain how you've managed cross-functional dependencies and improved data lifecycle processes in previous roles.

Engineering MDM Manager
Kagool

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