Cost Engineer/Data Analyst (TS clearance required)

Lockheed Martin•Sunnyvale, CA

1d•Onsite

About The Position

The Predictive Analytics and Cost Engineering (PACE) team is a data science team that combines technical engineering attributes and financial information to create data-driven cost estimates for program capture and support. The PACE team collects, normalizes and maps data to a standard work breakdown structure (WBS) to perform data analytics for internal and external customer support and deliverables. As part of the Finance and Business Operations (F&BO) organization, this team also works closely with Engineering and Technology (E&T), Strategy and Business Development (S&BD), Program/Proposal Management and Leads, Executive leadership and external customers. In particular, this position would be in support of significant programs/capture efforts across the lines of business (LOB). This may also involve proposal and/or data analytics and cost estimating tool development or enhancements. This role will include technical data collection, running cost models for captures across Space, dashboard building/automation, and communicating results to stakeholders. Additionally, the role may include developing affordability business cases, cost target allocation, and CI/PTW & ICE collaboration. The candidate selected will be asked to ingest data into a variety of models, interpret those results, perform decision analysis, and communicate findings with technical/programmatic colleagues and decision makers.

Requirements

Bachelor's or Master's degree in Math, Operations Research, Engineering, Finance, or any other field or equivalent years of experience in lieu of degree
Active TS or TS/SCI security clearance
Strong communication and interpersonal skills
Exceptional critical thinking and problem-solving abilities
Detail-oriented with ability to multitask, prioritize and balance multiple tasks at once
Comfortable navigating technical or cost data with the intent of understanding the relationship between them when working a task and/or presenting results
High degree of accountability and responsibility with the ability to be a self-starter
Experience with and understanding of one or more of the following: cost model development, data collection and normalization, data science and analytics, systems engineering/architecture, spacecraft engineering fields, and/or finance or anything else related
Must be a US Citizen for consideration.

Nice To Haves

Master's degree in Math, Operations Research, Engineering, Finance, or related field or equivalent years of experience
Experience with Python, Visual Basic for Applications (VBA), MS SQL, and/or Tableau
Experience working with cost models, predictive analytics, or decision analysis
Knowledge of financial systems, analysis, statistics, etc.
Experience working within the space systems industry
Technical and business acumen – able to interpret cost and technical data, recognize their interdependencies, and apply them in forecasting models.
Ability to communicate technically oriented material to broader team
Familiarity with proposal development and/or the government acquisition process
Strong team collaboration and leadership skills

Responsibilities

Understand and implement proven cost models on relevant captures.
Perform cross-checks for program estimates.
Develop and deploy dashboards leveraged by the team.
Develop and present results to colleagues, senior staff and executives.
Coordinate with Engineering, Business Development, Program Finance, Estimating, Proposal Management, and ICE around model results.
Become knowledgeable and available to answer questions around cost estimates and cost drivers.
Work shoulder to shoulder with data science analysts building and enhancing tools/capabilities for efficiency and effectiveness.
Have opportunities to grow/upskill in data science disciplines and technical abilities.