Lead Architect Data Quality — Sulzer

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Sulzer is a leading engineering company with a proud heritage of innovation. Join our global team to grow your expertise and develop innovative solutions that enable a prosperous and more sustainable society. About the role This role sits at the intersection of enterprise architecture, data governance, and business transformation. The Lead Architect – Data Quality works with business and IT leaders to redesign end-to-end processes and data flows so that high-quality data becomes the default outcome rather than a downstream correction effort. The position plays a central role in large-scale change initiatives (e.g., ERP modernization, MDM rollout, customer and material master harmonization, PLM integrations), providing a unique opportunity to create lasting architectural impact across Sulzer. Key Responsibilities

• Lead the design of enterprise data quality architecture and ensure preventive controls are embedded into processes and systems by default.
• Define and evolve enterprise data models, standards, critical data elements, and validation rules across priority domains (e.g., Customer, Material, Product).
• Drive root-cause elimination initiatives by redesigning processes, system interactions, and data ownership models.
• Define data quality KPIs and maturity tracking; monitor trends, risks, and progress and report transparently to governance bodies and management.
• Act as a key architectural contributor to data-related transformation programs (ERP, CRM, PLM, MDM, integration, analytics).
• Partner closely with Enterprise Architecture and IT leadership to shape future-state data and integration architecture decisions.
• Establish escalation mechanisms aligned with the enterprise data governance framework and enable consistent decision-making across Legal Entities.
• Contribute to evaluation and selection of data quality, governance, and MDM technologies and help define target-state capabilities. Candidate Profile
• University degree in Information Systems, Computer Science, Engineering, Business Administration, or a related field.
• Minimum 5+ years of experience in data architecture, data quality, data governance, or related enterprise transformation roles.
• Strong understanding of data quality management and controls, enterprise data flows, integrations, and end-to-end business processes.
• Proven ability to perform root-cause analysis beyond symptoms and drive structural remediation.
• Strong conceptual thinking combined with pragmatic execution and delivery focus.
• Excellent communication and stakeholder-management skills in English Preferred Qualifications
• Experience in a global industrial, engineering, or manufacturing environment.
• Hands-on exposure to enterprise application landscapes (SAP-centric environments such as S/4HANA/MDG, CRM, PLM, MDM).
• Experience working closely with Enterprise Architects or IT architecture teams.
• Relevant certification in data management, data governance, or architecture.
• Familiarity with modern integration patterns and data platforms (API-led integration, event-driven patterns, data lakes/warehouses) is a plus. Success Measures
• Recurring data quality issues are reduced through structural, preventive solutions.
• Data quality controls are embedded into business processes and system designs.
• Clear ownership and accountability for data quality issues are established and followed.
• Business and IT teams align on systemic data quality remediation rather than manual fixes.
• Enterprise data architecture decisions consistently reflect data quality and governance requirements What we offer you
• A permanent contract.
• A competitive salary as well as participation in the variable remuneration system based on personal and financial objectives.
• Restaurant tickets
• Be part of an experienced, international team.
• A good vibe working environment.
• Enjoy great office facilities and a perfect location in Madrid Nuevos Ministerios , making