{"id":424138,"url":"https://alion.io/job/amgen-director-operations-planning-performance-management","title":"Director, Operations Planning & Performance Management","company":{"id":4775,"name":"Amgen","domain":"amgen.com","url":"https://alion.io/company/amgen","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":83,"open_postings":334,"ghost_share":0,"stale_share":0.668,"repost_share":0.015,"time_to_fill_p50_days":43,"computed_at":"2026-11-09T06:03:00Z"}},"role":"Management","role_family":"Management","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":["Hyderabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":24000,"max_usd":61000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":885},"experience_years_min":18,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"Incident Management","optional":false}],"status":"live","first_seen_at":"2026-08-04T00:00:00Z","employer_posted_date":"2026-08-04","last_verified_at":"2026-11-09T10:49:07Z","board_verified":true,"closed_at":null,"days_open":97,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":97},"description":"Career Category\nManufacturingJob Description\nThe Director, Operations Planning & Performance Management is a strategic leader within Amgen India (AIN), accountable for building, scaling, operating, and continuously improving manufacturing planning, performance management, analytics, automation, and operational intelligence capabilities that support Amgen’s global manufacturing network.\nThis role is responsible for operationalizing and sustaining the future-state Operations Planning & Performance Management operating model developed through Manufacturing Technology & Workforce Strategy (TWFS). The Director will establish the teams, processes, governance, service delivery models, and technology enablement capabilities required to deliver scalable, high-quality services across the manufacturing network while driving continuous improvement and long-term value realization.\nAs the leader of Operations Planning & Performance Management, this role serves as the primary integration point between AIN-based teams and global Manufacturing stakeholders, ensuring capabilities are delivered consistently, aligned with enterprise standards, and responsive to evolving business needs. The Director will foster strong partnerships across Manufacturing, Technology, AI & Data, and other key functions to drive adoption, operational excellence, and sustained business value.\nThe role will establish AIN as a strategic hub for manufacturing planning, performance management, and operational intelligence by enabling standardized processes, advanced analytics, AI-enabled solutions, and scalable digital capabilities while maintaining a strong focus on safety, quality, compliance, and operational continuity.\nA key responsibility of the role is the delivery and continuous evolution of the Manufacturing Performance Management and Control Tower ecosystem, providing standardized KPI governance, real-time operational visibility, predictive analytics, automated performance insights, portfolio visibility, and decision-support capabilities across the manufacturing network. The Director will champion the adoption of AI, advanced analytics, and automation to improve planning effectiveness, accelerate decision-making, enhance operational performance, and enable proactive management of risks, constraints, and opportunities across manufacturing operations.\nRoles and Responsibilities\nStrategy & Roadmap\nLead the implementation, maturation, and continuous evolution of the Operations Planning & Performance Management operating model and multi-year capability roadmap established through Manufacturing TWFS. Translate Manufacturing TWFS objectives into scalable capabilities, governance models, workforce plans, and sustainable service delivery models.\nEstablish strategies that improve manufacturing planning, operational performance visibility, data-driven decision making, and automation adoption across the network.\nDrive the evolution of Manufacturing Control Tower capabilities, predictive analytics, AI-enabled decision support, and operational intelligence solutions that improve visibility, planning effectiveness, and business performance across the manufacturing network.\nDrive standardization of planning, performance management, analytics, and operational enablement capabilities while ensuring alignment to enterprise data, technology, and governance standards.\nPartner with Manufacturing, Technology, AI & Data, Quality, Supply Chain, and Finance leaders to identify and prioritize future capability investments.\nExecution & Delivery\nOwn end-to-end delivery and performance of AIN-based Operations Planning & Performance Management capabilities and services.\nLead organizations responsible for planning, scheduling support, performance management, governance, analytics, automation, operational intelligence, and operational enablement capabilities that support the global manufacturing network. Ensure delivery of high-quality, reliable, and scalable capabilities that support operational decision making and manufacturing performance improvement.\nEstablish and deliver against defined service levels, operational metrics, and business outcomes.\nDrive measurable improvements in productivity, planning effectiveness, operational visibility, automation, cycle time, and decision quality.\nLead teams responsible for supporting, maintaining, and continuously improving business-critical planning, scheduling, analytics, automation, reporting, and operational enablement platforms used across the manufacturing network.\nEnsure supported technologies achieve defined reliability, availability, uptime, and service performance expectations while maintaining operational continuity.\nEstablish effective support models, escalation pathways, incident management practices, and continuous improvement processes to sustain operational excellence.\nDigital Transformation & AI Leadership\nLead the adoption of AI, advanced analytics, automation, and agentic workflows across manufacturing planning and performance management capabilities.\nPartner with AI & Data, and Digital organizations to identify, prioritize, pilot, and scale transformative manufacturing solutions.\nChampion an AI-first operating model while ensuring safety, quality, compliance, and business continuity.\nDrive the transition from manual and reactive processes to predictive and autonomous decision-support capabilities.\nManufacturing Control Tower Leadership\nEstablish and scale the Manufacturing Performance Management and Control Tower capability as the enterprise hub for operational visibility, governance, exception management, and decision support.\nEnsure real-time performance monitoring, standardized KPI governance, predictive alerting, and automated governance reporting across the manufacturing network.\nDrive development of a single source of truth for manufacturing performance and operational decision making.\nGovernance & Compliance\nEnsure all OPPM capabilities and services are executed in accordance with applicable GxP, regulatory, quality, cybersecurity, and data integrity requirements.\nEstablish governance forums that provide visibility to priorities, performance, risks, resource allocation, and value realization.\nMaintain inspection readiness and support internal and external audits, as required.\nPartner with Quality, Technology, and control functions to proactively identify, mitigate, and escalate risks.\nChampion a culture of compliance, operational excellence, accountability, and continuous improvement.\nStakeholder Engagement\nServe as the primary liaison for Operations Planning & Performance Management capabilities across the global Manufacturing network.\nBuild strong partnerships across Manufacturing Operations, Supply Chain, Quality, Engineering, Process Development, External Supply, EHS, Technology, AI & Data, and Finance organizations.\nPartner with Manufacturing, Technology, Digital, and AI & Data organizations to identify, prioritize, and scale AI-enabled solutions that support manufacturing planning, performance management, operational excellence, and decision-making.\nInfluence senior stakeholders to align priorities, investment decisions, and execution plans.\nEnsure business needs are translated into scalable solutions that deliver measurable value and strong stakeholder adoption.\nEstablish trusted relationships with site leaders and functional partners while balancing enterprise standardization with operational realities.\nTeam Leadership & Capability Building\nBuild, scale, and sustain a high-performing Operations Planning & Performance Management organization in AIN.\nDevelop leadership bench strength and critical capabilities across planning, analytics, automation, performance management, and operational technology enablement.\nAttract, develop, and retain top talent while fostering an inclusive, collaborative, and high-accountability culture aligned to Amgen Leadership Attributes.\nEstablish structured onboarding, capability development, succession planning, and leadership development programs.\nEmbed enterprise standards, governance, operating rhythms, and performance expectations across the organization.\nSet ambitious goals, drive accountability, and enable teams to deliver against strategic priorities.\nPreferred Qualifications & Desirable Attributes\n18 to 23 years experience leading global planning, operational excellence, performance management, analytics, automation, or manufacturing operations organizations within a regulated industry.\nDemonstrated success building and scaling global capability centers, shared services, centers of excellence, or operational support organizations.\nStrong understanding of manufacturing planning, capacity management, scheduling, performance management, and operational analytics.\nExperience leading organizations accountable for business-critical technology platforms, service management, operational support, and system reliability.\nExperience translating business needs into digital, analytics, automation, and AI-enabled solutions with measurable business impact.\nStrong understanding of GxP environments, regulatory expectations, inspection readiness, and data integrity requirements.\nDemonstrated ability to influence and align senior stakeholders across geographies, functions, and organizational boundaries.\nExperience leading large-scale transformation, operating model design, and continuous improvement initiatives.\nExperience establishing governance models, service delivery frameworks, KPIs, SLAs, and performance management systems.\nTrack record of developing high-performing teams and leadership pipelines in global, matrixed environments.\nRelevant certifications in Operational Excellence, Lean, Six Sigma, Analytics, Project Management, or related 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