Head of Data Governance and Master Data Management

As Head of Data Governance & Master Data Management (MDM), you will take enterprise ownership of how data is defined, governed, and leveraged across dormakaba. Your mission is to transform critical data into a trusted, harmonized, and AI-ready assets that enable business transformation, trusted analytics, and operational excellence.

Operating at the intersection of business, data, and technology, you will define global standards, governance frameworks, and data ownership models across key domains such as customer, supplier, and material data.

A key part of your role will be chairing the Global Data Council, aligning senior stakeholders across business and IT, and ensuring that data across domains - such as customer, supplier, and complex product structures - is consistent, high quality, and fit for purpose.

What you will do

• Chair the Global Data Council, setting enterprise-wide data priorities, defining data quality standards, and driving alignment across business and IT stakeholders.
• Lead the enterprise Data Governance and Master Data Management (MDM) organization within a hub-and-spoke operating model, ensuring clear ownership, effective governance, and resolution of cross-domain dependencies.
• Define and deliver the Data Governance & MDM vision, strategy and multi-year roadmap, aligned with the broader Data , Analytics & AI agenda , with a strong focus on enabling business transformation, smooth end-to-end processes across major enterprise platforms such as PDM/PLM, ERP, MES, CRM and trusted insights.
• Establish and enforce global master data standards, processes, and ownership frameworks across key enterprise domains (customer, supplier, material and beyond ), including the definition of canonical data models and lifecycle governance from creation to retirement.
• Ensure master data is managed as a strategic enterprise asset by driving continuous improvement in data quality, including cleansing of historical data and enabling reliable data for operations, reporting, planning (e.g. S&OP), analytics, and AI use cases.
• Own and evolve the Master Data Management landscape (including Syniti, SAP MDG , CDQ ), ensuring scalability, integration across enterprise systems, and readiness for AI-enabled stewardship, while collaborating closely with IT and business stakeholders to maintain a future-ready data architecture.
• Drive enterprise-wide data ownership and behavioural change by embedding accountability for data into business processes, securing stakeholder buy-in for global standards, and balancing strong governance with pragmatic business adoption across regions and functions.Enable AI- and analytics-ready data capabilities by advancing data cataloguing, metadata management, and modern stewardship approaches, ensuring master data is structured to support advanced analytics, automation, and AI-driven decision-making.

• 10+ years of experience in Data Governance, Master Data Management (MDM), or enterprise data management
• Proven leadership experience in matrix organizations, including managing distributed teams and cross-functional stakeholders.
• Strong experience in SAP S/4HANA transformation programmes, including data governance, data migration, and data readiness.
• Hands-on experience with SAP Master Data Governance (MDG) and a strong understanding of enterprise data architectures and system landscapes.
• Strong knowledge of data governance frameworks, master data lifecycle management, and end-to-end data processes.
• Experience managing complex master data domains (e.g. material, customer, supplier), ideally in industrial or manufacturing environments.
• Solid understanding of complex product structures, including Variant Configuration (VC/AVC) and associated data challenges.
• Demonstrated ability to balance strategic design and hands-on execution of data governance initiatives.
• Strong stakeholder management and influencing skills, with experience engaging senior business and IT leaders.
• Fluency in English (written and spoken), with the ability to communicate effectively with senior stakeholders in a global organization.Proven track record in driving data ownership, stewardship, and organizational accountability models.

What we prefer

• Experience with data quality, data migration, or master data tools such as Syniti, MDG, Informatica, or similar platforms.
• Background in manufacturing or industrial environments, ideally with exposure to PLM, production systems, or product lifecycle complexity.
• Understanding of data readiness for AI and advanced analytics use cases.
• Experience leading data cleansing or remediation initiatives, including improving legacy or historical data quality.Proven ability to influence and present at Executive Committee or senior leadership level.

• Attractive salary package
• Development opportunities
• Employee support program
• Additional benefits such as free parking and an on-site restaurantFlexibility through a hybrid working model

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 16,000 experts worldwide who are setting industry standards every day., Review for Dormakaba Group Review for Dormakaba Group, Rümlang, ZH Review for Head Of Data at Dormakaba Group Review for Head Of Data at Dormakaba Group, Rümlang, ZH Salaries for Dormakaba Group Salaries for Dormakaba Group, Rümlang, ZH Salaries for Head Of Data at Dormakaba Group Salaries for Head Of Data at Dormakaba Group, Rümlang, ZH Salaries for Head Of Data Salaries for Head Of Data, Rümlang, ZH