Lockheed Martin Space aims to harness the full potential of space to cultivate innovation, reduce costs, and push the boundaries of what technology can achieve, and the Predictive Analytics and Cost Engineering (PACE) team is tasked with creating data-driven cost estimates for program capture and support.
Requirements
- AI/ML tools
- Data analytics
- Cost estimating tools
- Parametric cost estimation
- Data normalization
- Engineering models
- Decision analysis
Responsibilities
- Coordinate with Engineering, Business Development, Program Finance, Estimating, Proposal Management, and ICE around cost estimates.
- Be comfortable supporting development of AI/ML tools collaborating with the above organizations
- Develop data-driven cost estimates for proposal efforts that are parametrically derived.
- Normalize cost and technical data.
- Become knowledgeable and responsible to answer questions around cost estimates and cost drivers.
- Analyze multiple data sets to build engineering models, synthesize results, perform decision analysis, and communicate findings with engineering colleagues and internal decision makers.
- Work on affordability analysis, life cycle cost developments, cost data analytics, forecasting cost and schedule, data collection and normalization, and design to cost.
Other
- Present briefings to colleagues, senior staff, and executives.
- Collaborate with Engineering, Business Development, Program Finance, Estimating, Proposal Management, and ICE.
- Communicate findings with engineering colleagues and internal decision makers.
- Support proposal and/or data analytics and cost estimating tool development or enhancements.
- Work closely with Executive leadership and external customers.
