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Global Planning and Analytics Lead

Revvity

Skills

Required

  • Analytics
  • global planning / service parts
  • Supply Chain
  • service parts planning
  • SAP planning and
  • execution systems
  • automation
  • AI

Preferred

  • inventory optimization
  • AI level modeling
  • Power BI
  • SAP Analytics
  • Cloud
  • BI
  • drive mitigation strategies
  • balancing service-level targets
  • Define differentiated stocking strategies

Global Planning and Analytics Lead Location(s) Mumbai About Us Revvity is a developer and provider of end-to-end solutions designed to help scientists, researchers, and clinicians solve the world’s greatest health challenges.

About Revvity

  • We pair the enthusiasm of an industry disruptor with the experience of a longtime leader.
  • Our team of 11,000+ colleagues from around the globe are vital to our success and the reason we’re able to push boundaries in pursuit of better human health.

Responsibilities

  • Find your future at Revvity Global Planning & Procurement Own end-to-end global planning processes to ensure all parts are planned and procured on a timely basis to meet service, operational, and customer commitments.
  • Translate demand signals, service requirements, and business priorities into executable supply and procurement plans.
  • Proactively identify risks, constraints, and opportunities within the supply network and drive mitigation strategies.
  • Service Parts Fulfillment & Stocking Strategy Lead the alignment of fulfillment and stocking strategies for service parts , balancing service-level targets, inventory investment, and supply flexibility.
  • Define differentiated stocking strategies by part criticality, lifecycle, region, and service model.
  • Partner with Service and Operations teams to ensure consistent execution of global service parts strategies.
  • Automation, Digitization & AI Enablement Drive automation and digitization of planning and analytical workflows , reducing manual effort and increasing scalability and accuracy.
  • Design, develop, and deploy AI-enabled tools and models for demand forecasting, inventory optimization, scenario planning, and exception management.
  • Champion standardization of processes, data models, and metrics across regions and business units.
  • SAP, BI & Advanced Analytics Leverage SAP platforms (e.g., S/4HANA, APO/IBP, or equivalent) to support integrated planning and execution.
  • Develop and govern BI dashboards and analytics (e.g., Power BI, SAP Analytics Cloud, or similar) to enable real-time decision-making and executive visibility.
  • Ensure data integrity, consistency, and alignment across planning, procurement, and fulfillment systems.
  • Leadership & Team Management (India-based Team) Build, lead, and develop a high-performing planning and analytics team in India .
  • Establish clear roles, performance expectations, and career development paths for team members.
  • Foster a culture of continuous improvement, analytical rigor, innovation, and accountability.
  • Serve as a global leader, effectively collaborating across time zones and cultures.
  • Partnership & Governance Act as a trusted partner to senior leaders across Supply Chain, Operations, Service, Finance, and IT.
  • Lead global planning governance, cadence reviews, and performance management routines.
  • Communicate complex analytical insights clearly to executive and non-technical audiences.

Requirements

  • Bachelor’s degree in Engineering, Supply Chain, Operations, Analytics, or a related field (Master’s preferred).
  • 10+ years of experience in global planning, supply chain, service parts, or analytics roles.
  • Proven experience in service parts planning and fulfillment, Strong hands-on exposure to SAP planning and execution systems.
  • Demonstrated experience building or deploying automation, AI, or advanced analytics solutions.
  • Experience leading and managing teams in India or other global delivery centers.
  • & Competencies Strategic thinking with strong execution focus
  • Advanced analytical and problem-solving skills
  • Deep understanding of service parts and supply chain dynamics
  • Digital and AI-first mindset
  • Strong people leadership and cross-cultural collaboration
  • Excellent communication and stakeholder management skills

Preferred

  • Experience with inventory optimization, and AI level modeling.
  • Exposure to Power BI, SAP Analytics Cloud, or similar BI tools.
  • Background in large, complex, global manufacturing or service organizations.