Position Overview

We are looking for a Configurable Materials Master Data Domain Lead whose core craft is Variant Configuration. SAP VC including characteristics classes configuration profiles dependencies constraints and super-BoMs is the structural spine of how we define price manufacture and service our products worldwide.

You will own the strategic data roadmap for this domain serve as Business Owner for SAP MDG-M and the SAP Variant Configuration landscape (LO-VC / AVC) and orchestrate cross-functional initiatives that enable product innovation operational excellence analytics and intelligent automation.

This is a global role reporting directly to the Global Head of Data Governance & MDM with end-to-end accountability across R&D Commercial Procurement & Operations and Finance spanning Idea-to-Market (I2M) Market-to-Cash (M2C) Plan-to-Deliver (P2D) and Record-to-Report (R2R).

If you have deep VC-modeling expertise and want to shape how a world-class industrial company builds its digital product thread we want to hear from you.

What you will do

Variant Configuration & Modeling

• Own and evolve the SAP VC data model as the central spine of dormakabas product definition: characteristics characteristic values classes configuration profiles object dependencies constraints and variant tables.
• Drive the strategic evolution from classic LO-VC toward Advanced Variant Configuration (AVC) defining the migration roadmap capability gaps and business-case priorities together with the Global Process Experts and Enterprise Architecture.
• Design and govern super-BoM and variant-BoM structures that translate configurable product definitions into executable manufacturing and procurement plans across global plants.
• Define and maintain the material classification codification and hierarchy frameworks that underpin VC model selection and variant determination at scale.

BoM Mastership & Digital Thread

• Own the material-side BoM data strategy and mastership rules across the full digital thread: from engineering-BoM origins in PLM through manufacturing-BoM refinement in ERP to shop-floor execution in MES.
• Build long-term standards for BoM structure revision control change propagation and deviation management ensuring a single source of truth that evolves with our product portfolio.
• Architect integration patterns across the materials ecosystem (PLM Windchill SAP MDG S/4HANA PIM/DAM MES) with a focus on data consistency real-time synchronization and API-first connectivity.

Commercial Pricing & CPQ

• Ensure the VC model drives accurate scalable variant pricing by linking configuration logic to pricing procedures condition techniques and commercial rules in S/4HANA.
• Support the integration of VC-based product models into CPQ platforms and digital sales channels enabling self-service configuration with validated real-time data.

Installed Base Service & Aftermarket

• Extend the materials master-data domain toward serialized equipment service BoMs and spare-parts management.
• Define how VC-derived product structures translate into installed-base records and service-kit definitions ensuring traceability from original configuration to aftermarket offerings.

Sustainability Compliance & Regulatory Data

• Embed material composition weight and substance data into the materials master record to support sustainability reporting and environmental compliance requirements.
• Ensure compliance-related data (REACH RoHS and future regulations) is structurally linked to the VC model and BoM enabling automatic variant-level compliance determination.
• Drive the data standards that allow dormakaba to answer regulatory customer and investor questions about product composition and traceability.

Governance Quality & Architecture

• Own the strategic roadmap for Configurable Materials master data aligning it with dormakabas business digitalization and sustainability ambitions.
• Evolve the global materials governance framework including data ownership stewardship policies and standards.
• Champion data product thinking by treating master-data assets as products with defined consumers SLAs lineage and lifecycle management.
• Apply modern data architecture principles to create a scalable and interoperable materials data ecosystem.
• Build and sustain an active external stakeholder network to benchmark practices and introduce emerging industry standards.

Transformation Systems & Change

• Act as Business Owner for SAP MDG-M and the SAP Variant Configuration landscape (LO-VC / AVC) shaping their evolution to meet current and future business requirements.

• Lead the materials master-data workstream within RECITE dormakabas global S/4HANA transformation driving template design localization requirements testing and master-data harmonization.
• Serve as the direct data-domain counterpart to the onePLM program ensuring PLM-to-ERP mapping BoM synchronization and digital-thread alignment.
• Apply AI and intelligent automation to improve profiling stewardship anomaly detection and rule management within the materials domain.
• Lead the materials master-data community across dormakaba through structured communication training engagement and change-management initiatives.

Operating Model & Team Leadership

• Define and implement a fit-for-purpose operating model for the materials data domain optimizing the interplay of onshore near-shore and offshore resources.
• Mentor and guide the materials data team fostering accountability continuous learning and cross-functional collaboration.

What we require

You are a deep craftsperson in Variant Configuration and materials master data who can navigate complex global matrix organizations build consensus among senior stakeholders and translate intricate VC and BoM concepts into business value. You challenge the status quo constructively and energize others to follow. AI is a powerful multiplier in your hands; the VC model and the material master are the core you will never delegate to a tool.

• 810 years of hands-on materials master-data and Variant Configuration leadership in multinational corporations with a proven track record in configurable-products industries (industrial technology engineered products or similar).
• Deep expertise in SAP LO-VC and a clear point of view on the evolution path toward AVC including the data-model process and governance implications.
• Demonstrable mastery of VC modeling objects: characteristics classes configuration profiles object dependencies constraints variant tables and their interplay in super-BoM and variant-BoM structures.
• University degree in Data Management Information Technology Supply Chain Engineering Finance or a related discipline.
• Explicit experience owning BoM data strategy and mastership across PLM ERP and MES boundaries engineering-BoM manufacturing-BoM and the change-propagation standards that keep them synchronized.
• Strong understanding of data modelling data architecture and integration patterns.
• Familiarity with modern data-management disciplines: data governance data quality data lineage metadata management data cataloguing data observability and data-mesh / data-fabric concepts.
• Proven track record of leading data-quality improvement programs at scale including data cleansing standardization and harmonization in global environments.
• Experience working in or designing Shared Services and global delivery models.
• Demonstrated ability to engage external stakeholders industry forums standards organizations peer networks and strategic partners to benchmark practices introduce innovation and elevate internal data-management standards.
• Comfortable applying AI/ML as an accelerator on top of deep domain expertise e.g. intelligent profiling automated rule generation and agentic process automation while maintaining ownership of the underlying VC and material-master logic.
• Excellent stakeholder-management communication and presentation skills; fluent in English (written and spoken).
• Pragmatic project-management skills with the ability to run multiple workstreams in parallel and deliver on time in ambitious transformation programs.

What we desire

• Experience with PLM (Windchill or similar) PIM/DAM and MES ecosystems is highly desirable.
• Knowledge of SAP Signavio and LeanIX is advantageous.
• Advanced qualifications (e.g. CDMP DAMA-DMBOK or SAP certifications) are a plus.
• German language skills.

What we offer

• Health insurance
• Flexible remuneration (childcare ticket transport ticket restaurant ticket)
• Flexible schedule
• Remote working days

Who we are

We are at the heart of every place that matters. From automatic doors to cloud-based access management as a leading global provider in the access solutions market for schools banks airports hospitals hotels and many more we enable seamless movement within secure safe and sustainable places. With over 160 years of experience and a focus on excellence and innovation we offer exciting opportunities to grow in an environment where you can make a real impact. At dormakaba you are encouraged to take initiative develop your skills and build your career alongside 16000 experts worldwide who are setting industry standards every day.

Work in a place where you matter apply now!

dormakaba Group is an equal opportunity employer that is committed to diversity and inclusion. We take action to ensure equal opportunity for all applicants without regard to age race color religion sex sexual orientation gender identity national origin disability Veteran status or other legally protected characteristics.

WE DO NOT ACCEPT SUBMISSIONS FROM RECRUITMENT AGENCIES FOR THIS POSITION

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