Staff Capacity Planner

FormFactor Inc.•Livermore, CA

7d•$104,600 - $137,235•Onsite

About The Position

The Staff Capacity Planner owns and evolves the finite capacity planning strategy across assigned and adjacent value streams (assembly, test, sub-fab support operations), ensuring alignment of equipment, labor, and critical facility services to SIOP demand signals and business objectives. This role operates with end-to-end ownership of capacity models, drives multi-scenario planning across short-, mid-, and long-range horizons, and leads cross-functional decision-making optimizing throughput, service levels, and margin performance. The Capacity Planner serves as a key influencer in SIOP to S&OE translation, proactively identifying risks, recommending trade-offs, and coordinating actions across Operations, Planning, Engineering, Facilities, HR, and Sourcing to enable scalable and resilient factory performance, particularly during ramp and volatility.

Requirements

Minimum of 8 years of related experience with a Bachelor’s degree; or 6 years and a Master’s degree; or a PhD with 3 years experience; or equivalent experience
Bill of Materials (BOM)
Capacity Planning
Constraints Management
Cycle Analysis
Debottlenecking
Factory Planning
Finite Capacity Scheduling
Industrial Planning
Overall Equipment Effectiveness (OEE)
Scenario Modeling
Semiconductor Manufacturing

Nice To Haves

Demonstrated experience leading complex, cross-functional planning initiatives with measurable business impact.
Deep expertise with finite capacity planning systems (ERP/APS) such as SAP PP/DS, Oracle, Kinaxis, OMP, or equivalent.
Advanced analytical capability, including scenario modeling, data visualization, and decision support (Excel, Power BI, Tableau).
Strong understanding of routing structures, BOMs, cycle time modeling, OEE/TPT, yield impacts, and factory control systems.
Experience supporting factory ramps, capacity expansions, and SIOP-to-S&OE execution alignment.
Working knowledge of industrial engineering methods (line balancing, takt design, time studies) and Lean/6 Sigma principles.
Semiconductor or advanced manufacturing experience, including cleanroom operations and tool-based production environments.

Responsibilities

Own and continuously improve enterprise-level, finite capacity models spanning multiple work centers, tool groups, and interdependent value streams.
Translate SIOP/MPS outputs into resource-constrained production plans, incorporating operational, labor, and facility constraints.
Design and execute advanced scenario modeling (e.g., demand volatility, NPI ramps, tool availability, labor constraints), providing data-driven recommendations with clear trade-offs (cost, service, throughput, margin).
Establish and standardize planning assumptions, methodologies, and governance for capacity modeling across planning horizons.
Identify, quantify, and prioritize systemic bottlenecks and capacity risks; lead cross-functional initiatives to resolve constraints.
Drive debottlenecking strategies (e.g., capital investments, shift model changes, process improvements, outsourcing decisions) in partnership with Operations, Engineering, and Facilities.
Lead alignment between SIOP, S&OE, and shop floor execution, ensuring pull-ins/pushouts, freeze windows, and priorities are managed consistently.
Proactively escalate risks and influence decision-making with clear options and impact assessments.
Lead capacity planning integration for NPI, ramp, and industrialization activities, ensuring alignment between engineering plans and manufacturing readiness.
Translate engineering builds, qualifications, and learning curves into capacity and throughput models.
Partner with HR and Operations to define workforce strategy (skill mix, staffing models, shift structures) required to meet demand scenarios.
Influence readiness reviews and capacity gate decisions for new product introductions and expansions.
Establish ownership and governance of capacity-critical master data (cycle times, routings, yields, lot sizes, tool groups, calendars, downtime assumptions).
Develop and maintain decision-grade dashboards and analytics (e.g., capacity vs. load, recovery plans, constraint tracking, scenario comparisons).
Lead monthly and quarterly capacity reviews, providing insights and recommendations to cross-functional and leadership stakeholders.
Drive alignment of planning data and tools across systems (ERP/APS/BI).
Lead continuous improvement initiatives to improve planning accuracy, reduce variability, increase OEE, and shorten cycle times.
Institutionalize standard work, playbooks, and best practices for constrained planning, ramp management, and demand variability.
Build organizational capability by coaching planners and influencing adoption of best-in-class planning practices.