Lead Analytics & Data Engineering

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. 

Applicants must meet eligibility requirements for a U.S. Government security clearance. Only US Citizens are eligible for a security clearance. For this position, LMI will only consider applicants with security clearances or applicants who are eligible for security clearances, due to the nature of the work.