Lead, Data Engineering & Analytics - TS​/SCI

Position: Lead, Data Engineering & Analytics - TS/SCI Required
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.