Lead, Analytics & Data Engineering - TS/SCI Required

Job Description

Overview

At LMI, we’re reimagining the path from insight to outcome at The New Speed of Possible™. With over 60 years of federal expertise and a strong innovation ecosystem, we accelerate mission success by delivering timely, high-impact solutions that help our customers adapt to evolving mission needs.  
  
LMI is seeking a Technical Lead to support an Intelligence Community client. This position will be located in Washington, DC or Reston, VA. This role is a hands-on technical leader responsible for guiding a team that delivers modern data pipelines and advanced analytics in support of mission decision-making. 

Responsibilities

Technical Leadership & Team Collaboration

  • Lead and oversee a multidisciplinary team of data engineers and data scientists.  
  • Collaborate with business/functional stakeholders to understand processes, define analytical requirements, and communicate results. 
  • Mentor junior team members across data engineering and data science disciplines. 
  • Build and maintain strong relationships with stakeholders to ensure alignment with organizational goals. 
  • Manage delivery of projects, including timelines, deliverables, resources, and quality. 
  • Provide technical and process consulting in support of mission outcomes.  

Data Engineering & Platform Modernization 

  • Lead the modernization, maintenance, and scaling of data pipelines, data warehouses, and related infrastructure. 
  • Contribute to the organization’s data engineering and advanced analytics strategy, roadmap, and data governance practices.

Advanced Analytics & Modeling

  • Frame and scope analytical problems; integrate, consolidate, and analyze complex datasets. 
  • Guide development and validation of models using machine learning, simulation, causal, rule-based, or statistical methods. 

Analytics Delivery & Communication

  • Translate analytical results into dashboards, visualizations, and analytic narratives that support decision-making. 
  • Provide timely analysis and reporting in a fast-paced, client-focused environment. 
  • Advise non-technical stakeholders on interpreting and applying data products, dashboards, and reports.

Qualifications

Education:

  • Bachelor’s degree in data science, mathematics, statistics, economics, computer science, engineering, or a related quantitative discipline is required; advanced degree preferred. 

Experience:

  • 5-10 years of relevant experience, with at least 2 years leading data engineering or data science teams as a technical lead or task lead.
  • Demonstrated experience delivering complex data pipelines and analytical projects in client-focused environments. 

Technical Skills:

  • Proficiency in Python and SQL is required. 
    Strong working knowledge of relational databases, including database optimization, schema design, and connecting analytic products to data sources. 
  • Experience with designing, building, and maintaining ETL/ELT pipelines and data integration workflows in support of scalable analytics solutions. 
  • Familiarity with core data science and analytics libraries in Python to support modeling, analysis, and feature engineering.  
  • Experience building visualizations, dashboards, and lightweight analytic applications to communicate findings and drive business impact using modern platforms (e.g., Tableau, Streamlit, or similar tools). 
  • Exposure to additional analytic, visualization, and programming tools (e.g., Qlik, Power BI, RShiny, Plotly, Java, R), demonstrating the ability to adapt across technologies. 
  • Familiarity with data engineering and data science methods including data transformation, feature engineering, predictive analytics, and unstructured text analysis. 

Leadership and Interpersonal Skills:

  • Strong written and verbal communication skills, with the ability to explain complex technical concepts to non-technical stakeholders. 
  • Demonstrated ability to mentor and develop junior team members across data engineering and data science disciplines. 
  • Strong stakeholder management skills, including the ability to build trusted relationships and balance modernization efforts with stakeholder-facing delivery. 
  • Ability to work in a fast-paced, solutions-oriented environment while delivering high-quality products. 
  • Strong analytical, problem-solving, and organizational skills with a focus on practical outcomes and mission impact.

 

This position requires an active TS/SCI security clearance with polygraph. Applicants with TS/SCI who are eligible for polygraph are encouraged to apply and will be sponsored for upgrade.