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Posted Apr 17Principal Demand Planning Manager
at ResMed
San Diego United States, United StatesOn-site
Responsibilities
- Conduct in-depth analysis of sales data, macroeconomic trends, regulatory changes, competitive intelligence, and internal demand signals to identify patterns, outliers, risks and opportunities.
- Spearhead key elements of the Integrated Business Planning (IBP) cycles, preparing for Demand Reviews and S&OE meetings, delivering strategic insights and recommendations to bridge demand-supply gaps and mitigation of risks.
- Utilize advanced analytical tools and forecasting techniques for sensitivity analysis, what-if scenario modeling, and monitor key performance indicators (KPIs) to optimize demand plans, inventory positions and enhance financial outcomes.
- Drive new product introductions by converting market insights into demand volumes, documenting assumptions, aligning on revenue implications, and managing phase-outs or cannibalization effects to minimize inventory obsolescence and excess stock.
- Implement and optimize IBP tools and process capabilities, serving as the subject matter expert for demand planning and inventory management software and processes while promoting best practices across the organization.
- Champion continuous improvement efforts leveraging methodologies like DMAIC, Lean Six Sigma, or the Oliver Wight framework to elevate demand planning and inventory management processes.
- Proven track record of driving consensus through influence and enabling cross-functional collaboration in matrix organizations, particularly with product, revenue, marketing and finance teams.
- Forecast Error, Bias, FVA, DSI), with skills in model refinement and business intelligence integration.
Requirements
- Qualifications Bachelor’s degree in Supply Chain Management, Business Analytics, Finance, or a related field. 5+ years of
- experience in demand planning or related roles, ideally within the medical device, pharmaceutical, or healthcare sector, with demonstrated mastery in assumptions-based planning, statistical forecasting, and inventory optimization.
- Exceptional communication and presentation abilities, capable of distilling complex data and assumptions into clear, with the ability to influence with concise insights for non-technical stakeholders and senior leadership.
- Strong data-driven analytical skills and proficiency in data tools (e.g.