{"id":1189121,"url":"https://alion.io/job/takeda-pharmaceutical-director-modality-excellence-indirect-processes-quality-engineering-maintenance-and-warehouse","title":"Director, Modality Excellence - Indirect Processes, Quality, Engineering & Maintenance and Warehouse","company":{"id":5984,"name":"Takeda Pharmaceutical","domain":"takeda.com","url":"https://alion.io/company/takeda","size_band":"5000+","is_staffing_agency":false,"is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":80,"open_postings":22,"ghost_share":0,"stale_share":0.818,"repost_share":0,"time_to_fill_p50_days":22,"computed_at":"2026-09-24T05:45:00Z"}},"role":"Industrial Engineering","role_family":"Industrial Engineering","seniority":"head","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Zurich, Switzerland"],"countries":["CH"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":145000,"max_usd":298000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":326},"experience_years_min":15,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CAPA","optional":false}],"status":"live","first_seen_at":"2026-09-24T15:21:04Z","employer_posted_date":"2026-09-24","last_verified_at":"2026-09-24T19:32:56Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"By clicking the “Apply” button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda’s Privacy Notice and Terms of Use. I further attest that all information I submit in my employment application is true to the best of my knowledge.\nJob Description\nAbout the role\nAs 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.\nBased 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.\nYour 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.\nYou 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.\nSuccess 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.\nPlease note this role is anticipated for a period of 2 years.\nHow you will contribute:\nReporting to the Transformation Office Head, your responsibilities are to\nDefine 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.\nTranslate 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.\nEstablish standard work for roles, handoffs, work content, decision points, required data, visual controls and escalation routines.\nCodify the best-known way of working for deviations, CAPA, change controls, investigations, maintenance execution, warehouse activities and other recurring processes.\nUse 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.\nLink standard work to process confirmation and leader standard work to sustain adoption.\nDefine global KPI hierarchies from enterprise outcomes through site, area and process-level indicators.\nClarify KPI calculation logic, data sources, review frequency, ownership, target-setting methods and escalation thresholds.\nSet benchmarks for cycle time, productivity, backlog, schedule adherence, flow efficiency, right-first-time, service level, asset availability, inventory accuracy and cost.\nEmbed KPIs into LPMS or equivalent daily, weekly and monthly performance routines.\nIdentify and quantify opportunities related to indirect labor productivity, process simplification, Quality workflow efficiency, maintenance productivity, warehouse performance, inventory reduction, contractor efficiency and automation.\nUse AVIX, LPMS data and AI-enabled analytics to identify cost drivers, bottlenecks, repetitive losses, performance gaps and improvement opportunities.\nBuild value cases linking standard work and KPI improvement to cost, capacity, quality, service and reliability outcomes.\nTrack benefit realization and ensure improvements are sustained through management routines and performance standards.\nIdentify 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.\nPartner with Digital, Quality, Compliance and site teams to translate these solutions into operating standards, clear decision rights and adoption routines.\nPromote responsible and compliant AI use in GxP and Quality-related workflows.\nLead site diagnostics, design sprints, Kaizen events and deployment activities in real operating environments.\nCoach site teams and functional leaders in standard work, KPI management, LPMS routines, AVIX analysis and structured problem solving.\nDevelop playbooks, training materials, process-confirmation guides and communities of practice.\nBuild local champions who can sustain and continuously improve the standards.\nGovern updates to modality standards based on performance results, benchmark data, site feedback and emerging capabilities.\nMaintain a performance benchmark library and review adoption, performance and value delivery across sites.\nRecommend corrective actions where standards are not implemented or outcomes are not progressing.\nCollaborate with other modality excellence leads to ensure consistent Operating System design and reuse of standards.\nEngage external benchmarks, technology partners and communities of practice to refresh standards and performance targets.\nWhat you bring to Takeda:\nBachelor’s degree in Engineering, Life Sciences, Operations Management, Supply Chain, Quality, Industrial Engineering or a related discipline.\nAt 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.\nProven experience defining and deploying standard work, KPI systems, performance standards and operational excellence methods across multiple sites or functions.\nDemonstrated success using work analysis, performance management and analytics to reduce cost, improve productivity and strengthen process flow.\nStrong knowledge of regulated Quality processes, including deviations, CAPA, change controls, investigations and documentation workflows.\nExperience leading structured diagnostics, design sprints, Kaizen events, A3 problem solving and capability-building interventions.\nExcellent stakeholder-management, influencing and written communication skills.\nAbility to create practical standards, playbooks, training materials, KPI definitions and performance-management routines.\nExperience with AVIX or similar work-measurement and work-content analysis tools is preferred.\nExperience with LPMS or an equivalent Lean Performance Management System is preferred.\nExperience identifying and deploying AI or advanced analytics use cases in operations, Quality, maintenance or warehouse environments is preferred.\nLean Six Sigma Black Belt, Master Black Belt or equivalent Operational Excellence certification is preferred.\nAn advanced degree such as an MBA or Master’s in Engineering, Operations, Quality or Supply Chain is desirable.\nGlobal multi-site experience in pharmaceutical, biotech or another highly regulated industry is desirable.\nAbility to act as a trusted global authority and influence without direct authority.\nAbility to communicate effectively from enterprise strategy to frontline standard work.\nAbility to balance global standardization with justified site-specific adaptation based on risk, maturity, technology and process complexity.\nAbility to make evidence-based recommendations on AVIX, LPMS, AI, digital solutions, automation and process redesign.\nSound Director-level judgment when navigating GxP, compliance, safety, quality, service, capacity and cost trade-offs.\nCommitment to Takeda’s values and priorities: Integrity, Honesty, Fairness, Perseverance, Patient Trust, Reputation and Business.\nWillingness and ability to travel according to deployment needs and site-support priorities.\nAbility to engage frequently with global, regional, site and senior leadership stakeholders.\nLocations\nZurich, SwitzerlandBase Salary Range:\nCHF177,400.00 - CHF243,980.00The estimated salary range reflects an anticipated range for this position. The actual base salary offered may depend on a variety of factors, including the qualifications of the individual applicant for the position, years of relevant experience, specific and unique skills, level of education attained, certifications or other professional licenses held, and the location in which the applicant lives and/or from which they will be performing the job.\nFor information about our benefits, please click here.\nWorker Type\nEmployeeWorker Sub-Type\nFixed Term (Fixed Term)Time Type\nFull time","description_format":"text","description_chars":9552,"description_truncated":false,"requirements":{"experience_years_min":15,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Biotechnology","Health Care","Pharmaceuticals","Biopharma"],"lifecycle":[{"event":"open","at":"2026-09-24T15:21:04Z"}],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":22,"reasons":["conf:0","win:early","comp:brand"],"computed_at":"2026-09-24T19:37:50Z"},"pay":null,"html_url":"https://alion.io/job/takeda-pharmaceutical-director-modality-excellence-indirect-processes-quality-engineering-maintenance-and-warehouse","json_url":"https://alion.io/job/takeda-pharmaceutical-director-modality-excellence-indirect-processes-quality-engineering-maintenance-and-warehouse.json","meta":{"generated_at":"2026-09-24T19:37:50Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers"}}