Shipyard Capacity Analyst

Hanwha Defense USA IncArlington, VA
9h

About The Position

The Shipyard Capacity Analyst supports enterprise and program leadership by translating ship production plans into actionable capacity, staffing, and facility loading insights. This role integrates shipbuilding production knowledge with schedule analytics and efficiency measurement to identify bottlenecks, quantify throughput, and recommend trade-space options (sequencing, staffing, overtime, subcontracting, outsourcing, facility utilization) to meet delivery commitments. The analyst works closely with Program Management, Planning & Scheduling, Production/Operations, Finance, and Business Development to maintain an accurate, integrated view of shipyard capacity versus demand.

Requirements

  • Experience: 5+ years of experience in shipbuilding program management, planning/scheduling, production control, or shipyard operations analytics.
  • Schedule Tools: Working proficiency with Primavera P6, Open Plan, and/or Microsoft Project (IMS development, logic, critical path, baselines).
  • Ship Production Familiarity: Demonstrated understanding of ship construction phases, trade sequencing, and shipyard workflows (including outfitting and test/activation).
  • EVM & Performance: Experience supporting or managing Earned Value Management, schedule/cost integration, variance analysis, and forecasting.
  • Productivity Analytics: Experience with productivity/efficiency tracking (earned hours vs. actuals, labor performance, throughput metrics).
  • Analytical Skills: Strong quantitative and problem-solving skills; ability to synthesize complex datasets into clear recommendations.
  • Communication: Strong written and verbal communication skills; ability to brief technical and non-technical stakeholders.
  • Education: Bachelor’s degree in Engineering, Industrial Engineering, Operations Research, Business, or related field (or equivalent relevant experience).

Nice To Haves

  • Experience in multi-program shipyard portfolio planning, master planning, or long-range capacity modeling.
  • Familiarity with production planning concepts: work package planning, control accounts, WBS/OBS alignment, and shop-level scheduling.
  • Knowledge of schedule quality assessments (logic density, constraints, lags/leads discipline, baseline governance).
  • Understanding of shipyard industrial engineering methods (standard hours, rate setting, learning curves, bottleneck analysis).
  • Security clearance eligibility (if supporting government programs).

Responsibilities

  • Build and maintain shipyard capacity models (labor, trades, facilities, critical resources) aligned to production strategies and program baselines.
  • Evaluate throughput constraints across major work centers (fabrication, panel line, assembly, erection, outfitting, test/activation, paint, dry dock/launch/transfer).
  • Conduct “what-if” scenarios on schedule changes, productivity shifts, learning curves, material availability, and staffing plans; quantify schedule and cost impacts.
  • Develop and maintain long-range demand vs. capacity views across multiple programs, including peak loading, trade conflicts, and facility congestion.
  • Support development, integration, and maintenance of Integrated Master Schedules for ship programs and yard-level master schedules.
  • Use establish and manage IMS to ensure logic-driven networks, critical path, float health, and schedule quality.
  • Coordinate with planners/schedulers and production teams to ensure schedule realism, work package alignment, and executable sequencing.
  • Implement yard-level master schedules across shipyard(s).
  • Track and analyze production performance using labor hours, earned hours, progress metrics, and efficiency indices.
  • Establish and monitor KPIs (e.g., CPI/SPI, burn rates, throughput rates, rework impacts, constraint-driven delays) to highlight actionable variance drivers.
  • Partner with Production/Operations teams to translate observed performance into forecast impacts and recovery plans.
  • Translate market and demand forecasts into structured datasets suitable for integration into: Financial models Capacity and workforce planning tools Capital investment and facility expansion models
  • Work with internal software, analytics, or engineering teams to ensure data accuracy and usability.
  • Support development and refinement of proprietary forecasting and decision-support models.
  • Prepare concise written products, dashboards, and briefings for senior leadership.
  • Clearly communicate assumptions, uncertainties, and implications of forecasts.
  • Support strategy reviews, investment committees, and business development planning sessions.
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