Staff Capacity Planner

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.

Key Responsibilities:

Finite Capacity Modeling & Scenario Planning

• 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.

Constraints Management & Execution Leadership

• 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.

Ramps, NPI & Industrialization

• 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.

Data Integrity, Analytics & Governance

• 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).

Continuous Improvement & Capability Building

• 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.

Preferred Qualifications:

• 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.