Analytics and Data Engineering Team Lead - TS / SCI Required

Analytics and Data Engineering Team Lead - TS / SCI Required

Job Locations

US-DC-Washington, DC

Job ID

2025-13063

# of Openings

Category

Data / Analytics

Benefit Type

Salaried High Fringe / Full-Time

Overview

At LMI, we're reimagining the path from insight to outcome at The New Speed of Possible. Combining a legacy of over 60 years of federal expertise with our innovation ecosystem, we minimize time to value and accelerate mission success. We energize the brightest minds with emerging technologies to inspire creative solutioning and push the boundaries of capability. LMI advances the pace of progress, enabling our customers to thrive while adapting to evolving mission needs.

LMI is seeking a Advanced Analytics Team Lead to support an Intelligence Community client. This position will be located in Washington, DC or Reston, VA.

Responsibilities

Responsible for overseeing a team of data engineers and data scientists to modernize data pipelines and data warehouses, while delivering business analytics support through machine learning, statistical analysis, causal analysis, and modeling and simulation.

Lead and collaborate with a team of data engineers, data scientists, data analysts, and business / functional SMEs to understand processes, define analytical requirements, and communicate results.

Modernize and maintain data pipelines, data warehouses, and related infrastructure to ensure scalable, reliable, and efficient operations.

Frame and scale data problems; integrate, consolidate, and analyze complex datasets for business analytics.

Build and validate models using machine learning, simulation, causal, rule-based, and statistical methods.

Transform data into visualizations, dashboards, and analytic narratives that support storytelling and decision-making.

Provide timely analysis and reporting in a fast-paced, client-focused environment.

Deliver technical and process consulting through management of standard consulting projects.

Advise non-technical stakeholders on interpreting and applying data products, dashboards, and reports.

Manage relationships with key stakeholders to ensure alignment of analytical solutions with organizational goals.

Contribute to the organization's data engineering and advanced analytics strategy, roadmap, and data governance practices.

Oversee project timelines, deliverables, and resources, ensuring completion on time, within budget, and to quality standards.

Stay current with advancements in data engineering, analytics, and data science; mentor junior team members across both DE and DS disciplines, providing technical guidance to build overall team capability.

Qualifications

Education :

• Bachelor's degree in data science, mathematics, statistics, economics, computer science, engineering, or a related quantitative discipline is required.
• Advanced degree (master's or Ph.D.) in a relevant field is preferred.

Experience :

Technical Skills :

Proficiency in Python and SQL is required.

Strong working knowledge of relational databases; preferred experience includes database optimization, schema design (e.g., star / snowflake), and linking analytic / visualization products to database connections.

Experience with ETL / ELT processes, pipeline development, and data integration methods.

Familiarity with data science libraries in Python.

Experience building data visualizations, dashboards, and lightweight applications to communicate findings and drive business impact.

Experience displaying analytical results using platforms such as Tableau, Streamlit, Qlik, Power BI, RShiny, Plotly, or D3.js. Tableau and Streamlit preferred.

Additional experience with programming languages such as Java, R, or MATLAB is a plus.

Familiarity with data engineering and data science methods including data transformation, feature engineering, predictive analytics, and (preferred) unstructured text / NLP.

Leadership and Interpersonal Skills :

Proven ability to balance technical modernization efforts with stakeholder-facing analytics delivery.

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.

LMI is an Equal Opportunity Employer. LMI is committed to the fair treatment of all and to our policy of providing applicants and employees with equal employment opportunities. LMI recruits, hires, trains, and promotes people without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, disability, age, protected veteran status, citizenship status, genetic information, or any other characteristic protected by applicable federal, state, or local law. If you are a person with a disability needing assistance with the application process, please contact accommodations@lmi.org

Colorado Residents : In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.

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