Director, Operations Planning & Performance Management

Amgen; India; On-site; INR 6,000,000 - 9,000,000; Full time

Job summary

Amgen India seeks a Director to lead Operations Planning & Performance Management, building and scaling capabilities for planning, analytics, automation, and operational intelligence across Amgen's global manufacturing network.

The role partners with Manufacturing, Technology, AI & Data, Quality, Supply Chain, and Finance to deliver standardized processes, AI-enabled solutions, and proactive risk management while ensuring safety, quality, and compliance across operations.

Responsibilities

• Lead the implementation and continuous evolution of the Operations Planning & Performance Management operating model and multi-year capability roadmap.
• Own end-to-end delivery of capabilities and services for the global manufacturing network.
• Establish service levels, metrics, and governance to drive productivity, visibility, and decision quality.
• Drive standardization, automation, and AI-enabled decision support across manufacturing planning and performance management.

Job description

Career Category Manufacturing Job Description

The 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.

This 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.

As 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.

The 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.

A 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.

Roles and Responsibilities

Strategy & Roadmap

Lead 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.

Establish strategies that improve manufacturing planning, operational performance visibility, data-driven decision making, and automation adoption across the network.

Drive 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.

Drive standardization of planning, performance management, analytics, and operational enablement capabilities while ensuring alignment to enterprise data, technology, and governance standards.

Partner with Manufacturing, Technology, AI & Data, Quality, Supply Chain, and Finance leaders to identify and prioritize future capability investments.

Execution & Delivery

Own end-to-end delivery and performance of AIN-based Operations Planning & Performance Management capabilities and services.

Lead 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.

Establish and deliver against defined service levels, operational metrics, and business outcomes.

Drive measurable improvements in productivity, planning effectiveness, operational visibility, automation, cycle time, and decision quality.

Lead teams responsible for supporting, maintaining, and continuously improving business-critical planning, scheduling, analytics, automation, reporting, and operational enablement platforms used across the manufacturing network.

Ensure supported technologies achieve defined reliability, availability, uptime, and service performance expectations while maintaining operational continuity.

Establish effective support models, escalation pathways, incident management practices, and continuous improvement processes to sustain operational excellence.

Digital Transformation & AI Leadership

Lead the adoption of AI, advanced analytics, automation, and agentic workflows across manufacturing planning an