Apply on Employer Site

Lafayette Group · 2 weeks ago

Senior Manager - Data Analytics

Reston, VA

Full-time

Hybrid

Senior Level, Lead/Staff

$140K/yr - $170K/yr

10+ years exp

Lafayette Group is seeking an experienced leader to manage and ensure successful client delivery of enterprise data management and analytics solutions in support of federal government programs. The role involves leading teams to deliver high-quality analytics solutions and mentoring junior team members to foster a culture of innovation and excellence.

AssociationCyber SecurityGovernmentInformation Technology

Work & Life Balance

No H1B

Security Clearance Required

U.S. Citizen Only

Responsibilities

Lead the design, development, and delivery of enterprise data management and analytics solutions for federal clients

Translate client requirements into actionable data strategies, workflows, and decision-support tools that align with policy and program objectives

Oversee the integration of diverse datasets (e.g., structured/unstructured, geospatial, demographic, operational, financial) into scalable data platforms and pipelines

Manage teams in building interactive dashboards, predictive models, and reporting solutions using tools such as Power BI and ArcGIS dashboards

Apply advanced analytics techniques (e.g., statistical modeling, machine learning, geospatial analysis) to identify trends, forecast outcomes, and support investment decisions

Guide automation of data processing and transformation using Python, SQL, and modern cloud-based platforms (e.g., Databricks, Azure, AWS)

Establish and enforce data governance and quality assurance standards across all projects

Mentor and coach junior staff, promoting professional growth and innovative problem-solving

Present findings and solutions to diverse audiences including federal stakeholders, technical teams, and executive leadership

Qualification

Data analyticsBusiness intelligencePythonSQLPower BIMachine learningGeospatial analysisCloud platformsLeadershipCommunication skillsOrganizational skillsTime management

Required

10+ years of experience in data analytics, business intelligence, or enterprise data management within the federal government or public sector

Proven leadership in managing cross-functional teams to deliver complex analytics or data management initiatives

Strong proficiency in modern data visualization and BI platforms (e.g., Power BI, Tableau, ArcGIS Dashboards)

Hands-on experience with Python (e.g., Pandas, PySpark, GeoPandas) and SQL for data analysis, automation, and pipeline development

Experience leveraging cloud-based data platforms (e.g., Databricks, Azure, AWS, GCP) for data integration, processing, and advanced analytics

Familiarity with geospatial tools and workflows (e.g., ArcGIS Pro, ArcGIS Online) and ability to integrate geospatial methods into broader analytics solutions

Excellent communications skills with the ability to convey complex analytical concepts to non-technical stakeholders

Strong organizational and time management skills with the ability to manage multiple priorities in a fast-paced consulting environment

Bachelor's degree in Data Science, Computer Science, Statistics, or related field

Must be eligible for and able to obtain a Department of Commerce public trust clearance (includes background check and fingerprinting)

Preferred

Experience delivering analytics and decision-support solutions for federal agencies in domains such as infrastructure, broadband, emergency response, or economic development

Experience designing and deploying advanced analytics solutions leveraging machine learning, predictive modeling, or AI techniques

Familiarity with Esri Experience Builder, StoryMaps, or Survey123 as part of integrated analytics or communications workflows

Knowledge of federal data and geospatial programs (e.g., NTIA, FCC, Census, FEMA) and their data standards

Existing public trust or higher-level security clearance