LMI · 8 hours ago
Lead, Data Engineering & Analytics - TS/SCI Required
LMI is a company focused on delivering high-impact solutions for federal clients. They are seeking a Technical Lead to guide a team in delivering modern data pipelines and advanced analytics to support mission decision-making.
AnalyticsConsultingInformation TechnologyLogisticsManagement ConsultingProfessional Services
Responsibilities
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
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
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
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
Qualification
Required
Bachelor's degree in data science, mathematics, statistics, economics, computer science, engineering, or a related quantitative discipline is required
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
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
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
Preferred
Advanced degree preferred
Company
LMI
LMI is a consulting firm dedicated to improving the management of government.
Funding
Current Stage
Late StageTotal Funding
$0.25MKey Investors
Mission Daybreak
2022-09-19Grant· $0.25M
2022-07-12Private Equity
2020-12-21Acquired
Recent News
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2025-10-03
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2025-08-09
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