JOBSEARCHER

Manager, Data Analytics - Remote

ICFMcLean, VARemoteL7 ManagerSeptember 15th, 2026
Overview In this role, you will lead enterprise data, analytics, governance, and AI-enabled capabilities for a complex federal program. You’ll shape data policy, architecture, quality, and dashboards to enable informed decision-making and continuous improvement. You will collaborate with cybersecurity, engineering, product, and program teams to align data platforms with enterprise standards. This is a remote, U.S.-based opportunity focused on secure, governed data that supports mission outcomes. You will drive scalable data solutions that deliver actionable insights at scale. ResponsibilitiesLead enterprise data, analytics, governance, and AI-enabled capability delivery in a complex federal environmentDevelop and implement data governance policies, standards, and workflowsEstablish data portfolio management practices, including prioritization, risk tracking, and performance measurementDesign and implement scalable data architecture (pipelines, lakes, warehouses, catalogs, metadata, lineage)Define data quality standards, dictionaries, scorecards, and issue managementDevelop analytics products, dashboards, and visualization tools for operational insight and executive decision-makingSupport advanced analytics: statistics, predictive modeling, trend/root-cause analysis, AI-enabled analyticsEnsure secure, governed, auditable data sharing and access aligned with privacy and compliancePartner with cybersecurity, engineering, product, and program teams to align data platforms with enterprise standardsCreate reusable templates, data models, ETL/ELT patterns, and knowledge repositoriesSupport training and knowledge transfer for long-term sustainment of data tools and practicesMonitor data quality, usage, access patterns, and analytics adoption to identify risks and improvement opportunities Key requirementsU.S. CitizenshipAbility to obtain and maintain Federal Public Trust clearanceBachelor’s Degree10+ years in enterprise data, analytics, governance, engineering, architecture, or AI analytics initiativesOne active data/AI/analytics/governance certification (e.g., CDMP, DAMA, AWS/Azure/GCP, Power BI, Databricks, Snowflake)Leadership and stakeholder managementStrong communication and collaboration across cross-functional teamsStrategic thinking and problem solvingData governance, data architecture, data engineering, data quality, metadata management, and responsible AI analyticsData pipelines, data lakes, data warehouses, data marts, data catalogs, metadata repositories, data lineageSQL, Python, R, Databricks, Snowflake, Redshift, BigQuery, Synapse