Configurable Materials Master Data Domain Lead
Listed on 2026-07-25
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IT/Tech
SAP Consultant, IT Business Analyst, AI Business & Operations, Business Systems & Technology Analysis
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, forms 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.
WhatYou Will Do Variant Configuration & Modeling
- Own and evolve the SAP VC data model as the central spine of dormakaba’s 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.
- 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/4
HANA, PIM/DAM, MES) with a focus on data consistency, real‑time synchronization, and API‑first connectivity.
- Ensure the VC model drives accurate, scalable variant pricing by linking configuration logic to pricing procedures, condition techniques, and commercial rules in S/4
HANA. - Support the integration of VC‑based product models into CPQ platforms and digital sales channels, enabling self‑service configuration with validated, real‑time data.
- 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.
- 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.
- Own the strategic roadmap for Configurable Materials master data, aligning it with dormakaba’s 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…
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