Job Details

Seeking a versatile professional for a unique, multi-disciplinary role. We are looking for a top-notch Facilities Project Manager/Data Analyst to join our talented team in Chantilly, VA, providing full-service facility management oversight to a major organization in the Intelligence Community (IC). We conduct end-to-end project management, facility engineering, and technical support for project execution, facility operations and maintenance, strategic planning, and budget planning.

Project Manager (70%) This position is responsible for providing the project and programmatic management expertise for the coordination, planning, management, prioritization, and execution of projects for the Client, ranging in value from $5K to $30M. In this role, you will serve as an interface between the Client, stakeholders, Site Operations and Maintenance (O&M) team, customers, and the construction/design contractor on all project matters. Responsibilities include:

• Act as the liaison, reporting to and coordinating with U.S. government representatives at multiple levels.

• Receive and review customer work requests and develop clear statements of work to meet requirements while managing customer expectations through knowledge of client facility standards and professional communication.

• Work with the executing agent to ensure that customer requirements are accomplished on time, to the specified quality, and within budget.

• Coordinate resource allocation and maintain document control.

• Develop and deliver project/contract documentation, including but not limited to Statements of Work, cost and schedule estimates, and project reports.

• Input and maintain project management data in the client’s system of record.

Data Analyst (30%)

• Works in cross-functional teams with data at all stages of the analysis lifecycle to derive actionable insight.

• Translates mission needs into an end-to-end analytical approach to achieve results.

• Performs the pre-analytics areas of data collection and understanding, data cleansing and integration, and data storage and retrieval.

• Determines the appropriate analytics based on the data and the desired outcomes, using techniques including feature detection, statistics, data mining, predictive modeling, machine learning, natural language processing, and business intelligence.

• Interprets the validity of results and communicates the meaning of those results.

• Has familiarity with data wrangling, analytics, and visualization software and programming languages, including analytics methods for big data.

• Follows a scientific approach to generate value from data, verifying results at each step.

• Provides solutions to a variety of technical problems of moderate scope and complexity where analysis of situations or data requires a review of a variety of factors.