Req ID:Remote Position: NoRegion: EuropeCountry: SpainState/Province: La Pobla De VallbonaCity: Valencia Summary Senior Quality Manager - New Production Introduction (NPI) Focus Detailed Description Quality Planning & Strategy : Lead the design and deployment of Quality Management Systems (QMS) processes and tools to ensure NPI objectives and customer requirements are met. DFx & Technical Readiness : Drive Design for Excellence (DFx) reviews and oversight on validation strategies (IQ, OQ, PQ) to ensure seamless product transitions from design to mass production. Launch Readiness : Manage launch readiness assessments, Monthly Operations Reviews, and Customer Satisfaction Surveys to ensure operational excellence at the Health Tech sites. Regulatory Oversight : Ensure site-wide conformance to international regulations and customer certifications (e.G., ISO 13485, ANSI/ESD ). Performance Monitoring : Analyze data from customer scorecards, regulatory audits, and operational performance to identify gaps and communicate action plans to stakeholders. General QMS process ownership : Develop and support key QMS processes to ensure regulatory compliance and mitigate operational risks. Process Deployment : Document and deploy global quality processes (Audit Compliance, Customer Feedback) in alignment with strategic corporate initiatives. Training & Capability Building : Educate sites on global procedures to build independent, high-functioning quality teams capable of maintaining long-term quality initiatives. Knowledge/Skills/Competencies Quality Frameworks : Expert-level knowledge of ISO 13485, 21 CFR 820 (QMSR) and ANSI/ISO/ESD standards. NPI Quality Planning : Deep proficiency in defining critical quality business processes, tools, and system applications required to meet site-level and customer-specific quality objectives. Advanced Quality Tools : Mastery of core quality methodologies, including FMEA (Failure Mode and Effects Analysis), 8 D Methodology, Change Control Board (CCB) protocols, and Manufacturing Quality Standards (MQS). Validation & DFx : Technical understanding of validation strategies (IQ/OQ/PQ) and Design for Excellence (DFx) to ensure seamless transitions from design to mass production. Performance Analytics : Ability to assess quality performance data to establish metrics, targets, and improvement strategies (e.G., Monthly Operations Reviews, Quality Excursion Reporting). Typical Experience 15+ years of progressive experience in Quality Management, with a proven track record in NPI, manufacturing scale-up, and global QMS deployment. Typical Education Bachelor's Degree or higher in Engineering, Quality Management or a related technical field. Industry certifications preferred (ASQ, Six Sigma, ISO13485 Lead Auditor, etc). Notes This job description is not intended to be an exhaustive list of all duties and responsibilities of the position. Employees are held accountable for all duties of the job. Job duties and the % of time identified for any function are subject to change at any time. Celestica is an equal opportunity employer. All qualified applicants will receive consideration for employment and will not be discriminated against on any protected status (including race, religion, national origin, gender, sexual orientation, age, marital status, veteran or disability status or other characteristics protected by law). At Celestica we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. Special arrangements can be made for candidates who need it throughout the hiring process. Please indicate your needs and we will work with you to meet them. Company Overview Celestica (NYSE, TSX: CLS) enables the world's best brands. Through our recognized customer-centric approach, we partner with leading companies in Aerospace and Defense, Communications, Enterprise, Health Tech, Industrial, Capital Equipment and Energy to deliver solutions for their most complex challenges. As a leader in design, manufacturing,



hardware platform and supply chain solutions, Celestica brings global expertise and insight at every stage of product development - from drawing board to full-scale production and after-market services for products from advanced medical devices, to highly engineered aviation systems, to next-generation hardware platform solutions for the Cloud. Headquartered in Toronto, with talented teams spanning 40+ locations in 13 countries across the Americas, Europe and Asia, we imagine, develop and deliver a better future with our customers. Celestica would like to thank all applicants, however, only qualified applicants will be contacted. Celestica does not accept unsolicited resumes from recruitment agencies or fee based recruitment services. About Ford and ATP Ford Motor Company has endured and thrived for more than 118 years by reimagining how things are built. Today, Ford is leading a once-in-a-generation transformation in manufacturing - scaling EVs, integrating humanoid robotics, additive manufacturing, AI vision, and digital platforms into one seamless operating system: the Ford Production System (FPS/FPS+) that operates within the FAST framework. Ford Motor Company is undergoing a historic industrial shift - from building great vehicles to building great systems that scale across them. The Advanced Industrial Technology & Platforms (ATP) organisation was created to operationalise that shift. Our job is not to deploy isolated tools; it is to build a systemthat learns from factory truth, transforms it into scalable platforms, and turns those platforms into enterprise business value. Advanced Industrial Technology and Platforms (ATP) is a new, centralised organisation designed to position Ford to lead industrial innovation. This team will accelerate our digital evolution and manufacturing excellence - advancing the modernisation of our Ford Manufacturing operations with cutting-edge technology. As part of Ford Manufacturing, ATP is designed to integrate directly into our manufacturing sites, partner across teams (GME, safety, etc.) and drive innovation from initial idea to full implementation. ATP is led by Managing Director Yung Fung, reporting to Ford Chief Manufacturing Officer Bryce Currie. This structure includes four vertical business units - focused on specific technology stacks - and four horizontals - shared services designed to ensure scale, deployment, and operational consistency. As part of the AITP organisation, the Sight Vertical is responsible for building an end-to-end-to- business around AI/ML anomaly detection products, operating across two product families: image-based detection (Vision) and parametric data-based detection (Sense). The Sense family - comprising Sense. Machine (Mini Terms), Sense. Tooling (AI Tool Sense), Sense. MILO, Sense. Stamping and Sense. Energy - is Ford's scalable platform for Condition Based Maintenance (CBM), process quality assurance, and zero-downtime, zero-defect manufacturing. The Opportunity We are looking for a Sense Engineering Manager to build and lead the engineering organisation behind Ford's parametric anomaly detection portfolio. The Position Reporting to the Head of Product - Sense, you will directly manage the Sense Engineering Team, as well as managing relationships with capacity-increasing purchase service staff. You will provide the Engineering professional home for engineers embedded in product teams, and assign engineers to work streams with input from the Head of Product and Product Managers. You will work closely with Sense Product Managers, product designers, and the Reach & Launch team, and partner with ATP Core, cybersecurity, data and infrastructure teams across Ford.



Requires availability to travel internationally to Ford manufacturing sites globally, where required. Success in Role A capable, healthy and appropriately sized Sense Engineering Team is in place, with clear ownership, active development plans and strong retention. Engineering capacity, demand and resource gaps are visibly and honestly managed - no unfunded work is absorbed silently. Architecture principles, decision records and technical standards exist and are used across streams. Sense products achieve their committed TRL/MRL/IRL gates on reproducible, defensible technical evidence. Engineering effort per plant deployment falls measurably; deployment cycle time compresses. A sustainable L2/L3 support model operates with named service owners, current runbooks and a declining rate of recurring incidents. Single-person dependencies are demonstrably reduced across all critical Sense services. Sense engineering practices are recognised as a reference standard within the Sight Vertical and ATP. Engineering People Leadership Lead, develop and grow the Sense Engineering Team - setting clear role, performance and development expectations for every engineer. Run regular one-to-ones, coaching, feedback and performance reviews, and build individual development and career plans. Recruit, onboard and retain engineering talent for approved positions, and identify capability and succession gaps before they become delivery risks. Create opportunities for engineers to develop technical leadership, delegating meaningful technical authority rather than making every decision personally. Build an inclusive culture of quality, learning, collaboration and production ownership, and actively monitor workload and burnout risk. Stream-Aligned Engineering Organisation Establish stable workstream-aligned engineering assignments where product priorities and capacity allow, and ensure each stream has sufficient technical ownership. Assign engineers to product streams with input from the Head of Product and Product Managers, making movement between streams explicit. Prevent engineers from being spread across too many concurrent priorities, balancing stable product context against the need for specialist support. Engineering Strategy and Architecture Governance Own the Sense Engineering strategy and technical roadmap, and establish architectural principles and proportionate technical standards. Ensure systems are scalable, reliable, secure, observable and maintainable across cloud, edge and plant environments. Make technical debt, obsolescence and architectural risk visible, and maintain lightweight architecture and decision-review practices. Partner with enterprise architecture, Core DS, AIR, FPS+, cybersecurity and infrastructure teams, ensuring product and feature convergence choices are evidence-led rather than automatic. Capacity and the Delivery System Make capacity and demand transparent across Build, Launch, Run and platform work, jointly with the Head of Product. Provide feasibility, effort, dependency and risk evidence before commitments are accepted, and maintain capacity guardrails and WIP limits. Escalate when portfolio demand cannot fit available capacity, and escal... Engineering Excellence and Sustainable Run Establish proportionate quality standards and Definitions of Done, with effective testing, code review, CI/CD and release control. Design and operate the Sense L2/L3 support model with clear L1/L2/L3 responsibilities, named technical owners, current runbooks and escalation paths. Establish incident management and learning-review practices, and prioritise elimination of recurring incidents. Implement and use engineering metrics to improve systems. Deployment Industrialisation and Technical MRL Evidence Own technical deployment and commissioning readiness, reducing bespoke plant engineering through automation, reusable patterns and standards. Ensure infrastructure, identity, access, integration and security requirements are addressed ahead of each launch, partnering #J-18808-Ljbffr

📌 Supervisor De Servicios – Conserjería Y Gestión (Valencia)
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📍 Valencia