Apply on Employer Site

LMI · 3 months ago

Analytics and Data Engineering Team Lead - TS/SCI Required

Washington, DC

Full-time

Onsite

Senior Level

5+ years exp

LMI is a company focused on reimagining the path from insight to outcome with over 60 years of federal expertise. They are seeking an Advanced Analytics Team Lead to oversee a team responsible for modernizing data pipelines and delivering business analytics support, while also mentoring junior team members and managing stakeholder relationships.

AnalyticsConsultingInformation TechnologyLogisticsManagement ConsultingProfessional Services

Comp. & Benefits

No H1B

Security Clearance Required

U.S. Citizen Only

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

Qualification

PythonSQLData engineeringData scienceETL/ELT processesData visualizationStakeholder managementAnalytical skillsCommunication skillsMentoringProblem-solving

Required

Bachelor's degree in data science, mathematics, statistics, economics, computer science, engineering, or a related quantitative discipline

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

Proven track record of managing and delivering complex data pipelines and analytical projects

Hands-on experience developing with Python and SQL for data pipelines, data integration, and analytics

Proficiency in Python and SQL

Strong working knowledge of relational databases

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

Superior communication skills, both oral and written, with the ability to convey complex data engineering and data science concepts to non-technical stakeholders

Demonstrated ability to mentor and develop junior team members across both DE and DS disciplines

Strong stakeholder management skills, with the ability to build and maintain relationships across the organization

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

Ability to work in a fast-paced, solutions-oriented environment

Strong analytical and problem-solving skills with a focus on practical outcomes

Detail-oriented with a commitment to delivering high-quality work

Ability to work both independently and as part of a collaborative team

This position requires an active TS/SCI security clearance with polygraph

Preferred

Advanced degree (master's or Ph.D.) in a relevant field

Preferred experience includes database optimization, schema design (e.g., star/snowflake), and linking analytic/visualization products to database connections

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