Director, Modality Excellence - Indirect Processes, Quality, Engineering & Maintenance and Warehouse

h3Locations /h3 pZurich, Switzerland /p h3Job Description /h3 h3About the role /h3 pAs Director, Modality Excellence, you will define, codify and deploy global excellence standards for indirect and enabling processes that influence manufacturing performance, quality flow, cost, capacity, service and reliability. /p pBased in a manufacturing or hub site, you will join GSQ's Transformation Office and report to the Head of Value Stream Transformation. As a senior individual contributor and global process authority, you will work across Site Leadership, Quality, Engineering, Maintenance, Warehouse, Supply Chain, Finance, Manufacturing Science, Digital and Transformation Office teams. /p pYour scope will cover indirect processes and Quality operations—including deviations, CAPA, change controls, investigations, documentation workflows, QA review loops, batch record support, QA on-the-floor interactions, planning and administrative workflows—as well as Engineering and Maintenance activities, including work orders, preventive and corrective maintenance, planning and scheduling, reliability routines, spare parts, calibration, utilities and technical services. You will also oversee Warehouse and Material Flow processes, including receiving, put-away, picking, staging, kitting, line replenishment, inventory counting, material transport, returns, waste flows and warehouse administration. /p pYou will own the lifecycle of standard work, KPI definitions, performance standards, maturity models, diagnostics, cost optimization logic, benchmarking, deployment playbooks and continuous improvement across the network. Your objective will be to establish a repeatable Operating System model that sites can adopt, sustain and continuously improve, rather than delivering isolated improvement projects. /p pSuccess will be measured through consistent standard-work adoption, stronger KPI performance, reduced indirect labor intensity, improved quality-process flow, higher maintenance productivity, increased asset availability, better warehouse productivity and measurable cost reduction. /p pPlease note this role is anticipated for a period of 2 years. /p h3How you will contribute /h3 ul liDefine the Operating System elements for each modality, including standard work, KPI architecture, performance standards, maturity models, diagnostics, hypothesis trees, process-confirmation checklists and A3 problem-solving logic. /li liTranslate internal best practices, external benchmarks and site learning into simple, scalable and measurable standards that are practical, auditable, teachable and connected to cost, service, quality, compliance, productivity and capacity outcomes. /li liEstablish standard work for roles, handoffs, work content, decision points, required data, visual controls and escalation routines. /li liCodify the best-known way of working for deviations, CAPA, change controls, investigations, maintenance execution, warehouse activities and other recurring processes. /li liUse AVIX or equivalent tools to analyze work content, compare current and target work design, identify non-value-added effort and establish standard time or effort expectations where appropriate. /li liLink standard work to process confirmation and leader standard work to sustain adoption. /li liDefine global KPI hierarchies from enterprise outcomes through site, area and process-level indicators. /li liClarify KPI calculation logic, data sources, review frequency, ownership, target-setting methods and escalation thresholds. /li liSet benchmarks for cycle time, productivity, backlog, schedule adherence, flow efficiency, right-first-time, service level, asset availability, inventory accuracy and cost. /li liEmbed KPIs into LPMS or equivalent daily, weekly and monthly performance routines. /li liIdentify and quantify opportunities related to indirect labor productivity, process simplification, Quality workflow efficiency, maintenance productivity, warehouse performance, inventory reduction, contractor efficiency and automation. /li liUse AVIX, LPMS data and AI-enabled analytics to identify cost drivers, bottlenecks, repetitive losses, performance gaps and improvement opportunities. /li liBuild value cases linking standard work and KPI improvement to cost, capacity, quality, service and reliability outcomes. /li liTrack benefit realization and ensure improvements are sustained through management routines and performance standards. /li liIdentify practical AI, digital and analytics applications for workflow triage, deviation and CAPA pattern detection, maintenance prediction, workload balancing, anomaly detection, KPI narrative generation and opportunity identification. /li liPartner with Digital, Quality, Compliance and site teams to translate these solutions into operating standards, clear decision rights and adoption routines. /li liPromote responsible and compliant AI use in GxP and Quality-related workflows. /li liLead site diagnostics, design sprints, Kaizen events and deployment activities in real operating environments. /li liCoach site teams and functional leaders in standard work, KPI management, LPMS routines, AVIX analysis and structured problem solving. /li liDevelop playbooks, training materials, process-confirmation guides and communities of practice. /li liBuild local champions who can sustain and continuously improve the standards. /li liGovern updates to modality standards based on performance results, benchmark data, site feedback and emerging capabilities. /li liMaintain a performance benchmark library and review adoption, performance and value delivery across sites. /li liRecommend corrective actions where standards are not implemented or outcomes are not progressing. /li liCollaborate with other modality excellence leads to ensure consistent Operating System design and reuse of standards. /li liEngage external benchmarks, technology partners and communities of practice to refresh standards and performance targets. /li /ul h3What you bring to Takeda /h3 ul liBachelor's degree in Engineering, Life Sciences, Operations Management, Supply Chain, Quality, Industrial Engineering or a related discipline. /li liAt least 15 years of experience in manufacturing, Quality operations, engineering, maintenance, supply chain, warehouse operations, operational excellence or transformation within pharmaceutical, biotech or another regulated industry. /li liProven experience defining and deploying standard work, KPI systems, performance standards and operational excellence methods across multiple sites or functions. /li liDemonstrated success using work analysis, performance management and analytics to reduce cost, improve productivity and strengthen process flow. /li liStrong knowledge of regulated Quality processes, including deviations, CAPA, change controls, investigations and documentation workflows. /li liExperience leading structured diagnostics, design sprints, Kaizen events, A3 problem solving and capability-building interventions. /li liExcellent stakeholder-management, influencing and written communication skills. /li liAbility to create practical standards, playbooks, training materials, KPI definitions and performance-management routines. /li liExperience with AVIX or similar work-measurement and work-content analysis tools is preferred. /li liExperience with LPMS or an equivalent Lean Performance Management System is preferred. /li liExperience identifying and deploying AI or advanced analytics use cases in operations, Quality, maintenance or warehouse environments is preferred. /li liLean Six Sigma Black Belt, Master Black Belt or equivalent Operational Excellence certification is preferred. /li liAn advanced degree such as an MBA or Master's in Engineering, Operations, Quality or Supply Chain is desirable. /li liGlobal multi-site experience in pharmaceutical, biotech or another highly regulated industry is desirable. /li liAbility to act as a trusted global authority and influence without direct authority. /li liAbility to communicate effectively from enterprise strategy to frontline standard work. /li liAbility to balance global standardization with justified site-specific adaptation based on risk, maturity, technology and process complexity. /li liAbility to make evidence-based recommendations on AVIX, LPMS, AI, digital solutions, automation and process redesign. /li liSound Director-level judgment when navigating GxP, compliance, safety, quality, service, capacity and cost trade-offs. /li liCommitment to Takeda's values and priorities Integrity, Honesty, Fairness, Perseverance, Patient Trust, Reputation and Business. /li liWillingness and ability to travel according to deployment needs and site-support priorities. /li liAbility to engage frequently with global, regional, site and senior leadership stakeholders. /li /ul h3Base Salary Range /h3 pCHF177,400.00 - CHF243,980.00 /p h3Worker Type /h3 pEmployee /p h3Worker Sub-Type /h3 pFixed Term (Fixed Term) /p h3Time Type /h3 pFull time /p #J-18808-Ljbffr