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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Global FSQ Senior Manager Specification Governance - **Company:** Kraft Heinz Company - **Location:** Amsterdam, Netherlands - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Data Governance, Data Integrity - **Published:** July 4, 2026 - **Apply:** https://nl.indeed.com/viewjob?jk=061552be34c5af54 ## About the Role * Include specific, qualitative proven experiences versus generic years of experience * Include both "hard" and "soft" skills * Include skills that are observable, measurable, and assessable (speaking to their criticality to the role and business) NOTE: Exclude "preferred" skills that are not required to perform the job effectively. * Bachelor's degree (or equivalent experience) in a relevant field (e.g., science, engineering, quality, regulatory, data/technology, supply chain). * 5+ years of leadership experience managing specifications, quality systems, regulatory/quality data, or related governance at a regional or global level. * Strong understanding of data governance fundamentals (standards, stewardship/ownership, controls, quality, lifecycle management). * Proven ability to influence and lead cross-functionally across geographies, including senior stakeholder engagement. * Strong communication skills (written and verbal) with the ability to simplify complex requirements and drive adoption. * Highly organized, detail-oriented, and able to manage multiple priorities in a matrixed environment. ## Description The Senior Manager Specification Governance manages the enterprise-wide governance of the global specification process within the Product Lifecycle Management (PLM)/specification ecosystem to ensure standardization, data integrity, and end-to-end lifecycle control. This role establishes scalable, auditable governance mechanisms that balance regulatory compliance, operational efficiency, speed-to-market, and data quality. The role defines specification change control, manages risk-based conditional approvals (exceptions), leads a team of specification/data governance professionals, and drives implementation of new data requirements to support evolving business and regulatory needs. Key Ingredients: Global Data Governance * Define and maintain scalable and auditable global specification standards, processes, naming conventions, and business rules for specification content and structure to ensure high-quality, reliable product data in the PLM/specification management system. * Establish and maintain attribute ownership models (functional ownership and accountability), required fields, validation rules and status controls to drive data integrity. * Lead forums to review new attributes, standards, and material changes to governance rules. Change Control and Continuous Improvement * Serve as a key liaison for standardization initiatives, process improvements, and data integrity enhancements across the digital landscape. * Partner with IT/Digital, R&D, Regulatory, and Quality to translate business, regulatory, and operational needs into clear requirements for specifications. * Ensure changes are effectively communicated, trained, and adopted across functions and regions; monitor adoption and address gaps. Risk, Compliance, and Audit * Establish and oversee conditional approval protocols for exceptions to standard processes. * Ensure conditional approval processes align with internal and external compliance expectations. * Serve as escalation point for conditional approval requests, ensuring risk assessment, appropriate approvals, and complete documentation. * Support internal/external audits by ensuring governance controls are effective, evidence-ready, and consistently executed. Training, Documentation and Enablement * Ensure consistent understanding and execution of specification processes across functions. * Develop and maintain onboarding and training materials (in collaboration with cross-functional partners) for specification creation, review, approval, and change control. * Assess training effectiveness; continuously improve training content, delivery methods, and supporting job aids/SOPs. Metrics and Performance Management * Define objectives and monitor KPIs (e.g., specification completeness, right-first-time quality, approval cycle times, exception volume, audit observations/findings, data quality metrics). * Provide regular reporting and insights to stakeholders; drive corrective and preventive actions where performance is below target. * Identify process and system improvement opportunities; lead or support initiatives that strengthen governance maturity and user experience. People Leadership and Stakeholder Management * Lead and develop a team of specification and data governance professionals (coaching, performance management, succession planning). * Drive enterprise-wide alignment across Quality, Regulatory, R&D, Procurement, Supply Chain, Manufacturing, and Digital/IT stakeholders., This position is considered a Normal office environment with moderate travel to customer locations, stores, manufacturing facilities, etc.; offices are open workspaces Additionally, this role requires 40 hours/week schedule, 5 days a week. ## Related Videos - [Data Governance in the Era of AI](https://www.wearedevelopers.com/videos/1622-data-governance-in-the-era-of-ai) - [Blueprints for Success: Steering a Global Data & AI Architecture](https://www.wearedevelopers.com/videos/1577-blueprints-for-success-steering-a-global-data-ai-architecture) - [Exploring 5 Key Applications of AI Abundance with Blockchain Assurance](https://www.wearedevelopers.com/videos/971-exploring-5-key-applications-of-ai-abundance-with-blockchain-assurance) - [A Data Mesh needs Open Metadata](https://www.wearedevelopers.com/videos/505-a-data-mesh-needs-open-metadata) - [Beyond Gut Feelings: The Rise of Data-Driven HR](https://www.wearedevelopers.com/videos/1326-beyond-gut-feelings-the-rise-of-data-driven-hr) - [AI beyond the code: Master your organisational AI implementation.](https://www.wearedevelopers.com/videos/1248-ai-beyond-the-code-master-your-organisational-ai-implementation) ## Related Articles - [Best Companies to Work For in Germany: Top 25 Companies in 2023 ](https://www.wearedevelopers.com/magazine/33-best-companies-to-work-for-in-germany-top-25-companies-in-2023) - [Best Companies to Work For in Berlin: Top 14 Companies in 2023 ](https://www.wearedevelopers.com/magazine/188-best-companies-to-work-for-in-berlin-top-14-companies-in-2023) - [Starter Kit For Job Applications For Developers](https://www.wearedevelopers.com/magazine/7-starter-kit-for-job-applications-for-developers) - [Best Companies in the Netherlands: Top 25 Companies in 2023 ](https://www.wearedevelopers.com/magazine/193-best-companies-in-the-netherlands-top-25-companies-in-2023) - [Best companies to work for United States: Top 20 Companies in 2023](https://www.wearedevelopers.com/magazine/245-best-companies-to-work-for-united-states-top-20-companies-in-2023) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk)