LMI is seeking an expert Centralized Data Manager to join our dynamic and complex United States Postal Service (USPS) portfolio. We need a candidate who excels at organizing, analyzing, and communicating data from different projects for various stakeholders, including C-suite members. This candidate should have extensive experience utilizing advanced data organization and analysis tools including Python, SQL, Databricks, Power Automate, and other Power Apps.
The ideal candidate will have experience and interest in using AI and Machine Learning tools to aid in their work and deliver excellence for the client. This role requires someone who can work with different project stakeholders to synthesize their data needs, visualize those needs, and be prepared to answer complex questions from other vendors and the client. This person will act as the centralized data SME for all data related to ongoing projects. The candidate should have experience supporting government contracts, working directly with customers, and handling sensitive data.
LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed.
Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors—helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value.
Responsibilities may include:
Education & Experience
Technical Skills
Analytical & Conceptual Skills
Other
Preferred Skills/Experience
Target salary range: $100,000-$140,000
Disclaimer: The salary range displayed represents the typical salary range for this position and is not a guarantee of compensation. Individual salaries are determined by various factors including, but not limited to location, internal equity, business considerations, client contract requirements, and candidate qualifications, such as education, experience, skills, and security clearances.
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