Director of Sales & Operational Planning

Simco ElectronicsSanta Clara, CA
Hybrid

About The Position

This role is responsible for developing and improving demand forecasting models, delivering rolling demand and capacity outlooks, and identifying structural gaps between demand and capacity. The position also involves modeling efficiency and productivity, controlling backlog, and improving turnaround time predictability. Additionally, the role requires building scenario models to support various operational decisions, translating complex analysis into actionable recommendations, and driving cross-functional planning and alignment. The Director will own and drive structured demand and capacity reviews and continuously improve planning processes, tools, and data quality.

Requirements

  • 7-15 years of progressive experience in operations planning, supply chain management, industrial engineering, or capacity management.
  • Strong systems thinking and analytical rigor
  • Experience in multi-site or distributed operations.
  • Demonstrated ability to design and build systems (not just analyze them)
  • Proven ability to influence across functions
  • Can operate on a daily, weekly and monthly cadence
  • High ownership mindset with willingness to be deeply hands-on
  • Strong executive communication and presentation skills with the ability to influence senior leadership.
  • Proven analytical problem-solving skills and a data-driven decision-making mindset.
  • Advanced proficiency in Excel and modeling required

Nice To Haves

  • Experience with Power BI or similar tools preferred
  • MBA or advanced degree preferred

Responsibilities

  • Own development and continuous improvement of demand forecasting models across customer segments, instrument types, and service categories
  • Deliver and maintain rolling demand and capacity outlooks: Short-term, Medium-term, and Long-term
  • Incorporate seasonality, growth trends, and customer behavior into forecasts
  • Develop and refine capacity planning frameworks incorporating technician availability, specialization constraints, service standards, and geographic considerations
  • Identify structural gaps between demand and capacity and drive system-level recommendations (hiring, cross-training, process changes, capacity rebalancing)
  • Model efficiency and productivity
  • Control backlog
  • Own analysis of TAT variability and its systemic drivers
  • Drive initiatives that improve on-time delivery and predictability
  • Build and own scenario models to support hiring decisions, cross-training strategies, workload balancing across sites, and capacity expansion and efficiency improvement scenarios
  • Translate complex analysis into clear, actionable recommendations for leadership
  • Own and drive structured demand and capacity review
  • Continuously improving planning processes, tools, and data quality
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