About the role

AI summarised

The Senior Manager, Supply Chain Network Strategic Planning leads long-term strategic planning for ResMed’s global supply chain network. This role involves developing and evaluating network scenarios, translating strategies into implementation plans, and ensuring alignment across manufacturing, logistics, procurement, and commercial teams. The position requires strong analytical, modeling, and leadership skills to drive network resilience, scalability, and execution readiness.

MedTechOnsite

Key Responsibilities

Build and evaluate multi-scenario network models to assess trade-offs across cost, service, resilience, and capacity, providing data-driven recommendations
Partner with Network Engineering, Manufacturing, Logistics, Procurement, and Commercial teams to gather inputs, validate assumptions, and ensure data integrity
Develop clear documentation of modeling assumptions, constraints, and scenario outcomes to support decision transparency
Translate approved network strategies into structured implementation plans with defined milestones and risk mitigation strategies for supply network flow
Validate and model business continuity for supply flow
Support execution of network changes—new sites, regionalization efforts, lane adjustments, and capacity shifts—through structured program tracking and cross-functional coordination
Identify structural constraints and execution risks, escalating key trade-offs and recommendations to the cross functional leadership
Monitor post-implementation performance and provide analytical insights to validate expected outcomes
Contribute to continuous improvement of the Network Playbook, including modeling standards, templates, data governance, and scenario methodologies
Support, co-create executive-ready analyses, dashboards, and decision materials for leadership review sessions

Requirements

Bachelor’s degree in supply chain, Engineering, Mathematics, or related field; Master’s preferred
Proficiency in Linear programming (LP), mixed-integer programming (MIP), and heuristic method for large scale supply chain problems
Hands-on experience in optimization solvers
Proficiency in dynamic simulation with hands-on experience in building discrete event simulation to test supply chain new design (AnyLogic, FlexSim or similar)
Proficiency in data analysis and visualization tools (Python, R, SQL, Power BI or similar)
Ability to model end to end supply planning flow for multisite manufacturing, warehousing and global customers footprint
Experience in Supply Chain modeling tools
Experience building multi-objective optimization models that balance competing KPIs (cost, service, inventory)
Strong working knowledge of statistical methods, forecasting techniques including time-series, and regression modeling
Familiar with ERP System and End-to-End Supply Chain data
Experience in Supply chain Planning, design, Logistics, Transformation initiatives
Experience leading complex cross-functional projects with measurable outcomes
Demonstrated ability to influence without direct authority and deliver results collaboratively
Experience working within complex, global, multi-node supply chain environments preferred