Enterprise Data, AI Lead

ICF

. Lead enterprise data, analytics, governance, and AI-enabled capability delivery across a complex federal technology environment .

Posted 10/6/2026full-timeRemote • Virginia • United StatesSenior💰 $89,649 - $152,404 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in leading enterprise data governance, analytics, and AI-enabled capabilities while ensuring compliance with federal standards. Proficient in designing scalable data architectures and implementing data quality frameworks to support operational insights and decision-making.

Highest-signal resume keywords

Data GovernanceData ArchitectureAnalytics Product DevelopmentAI-Enabled AnalyticsCloud Data Platforms

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data PipelinesData LakesData WarehousesData CatalogsETL/ELTSQLPythonRPredictive ModelingStatistical Analysis

Soft Skills

LeadershipCollaborationCommunicationTrainingDocumentation

Tools & Technologies

Power BITableauAWSMicrosoft AzureGoogle Cloud PlatformDatabricksSnowflakeQuickSightLookerPalantir Foundry

Certifications & Qualifications

CDMPDAMAAWS Data CertificationAzure Data CertificationGCP Data Certification

Industry Keywords

Federal TechnologyHealthcareLife SciencesData PrivacyCompliance FrameworksNISTFISMAHIPAAFedRAMPGDPR

Tech Stack

Tools & technologies

Amazon RedshiftAWSAzureBigQueryCloudCyber SecurityETLGoogle Cloud PlatformPythonSQLTableau

About the role

Key responsibilities & impact

Lead enterprise data, analytics, governance, and AI-enabled capability delivery across a complex federal technology environment
Develop and implement data governance policies, standards, operating procedures, approval workflows, and accountability models
Establish and maintain data portfolio management practices, including prioritization, project intake, resource planning, risk tracking, milestone reporting, and performance measurement
Lead the design and implementation of scalable data architecture, including data pipelines, data lakes, data warehouses, data marts, data catalogs, metadata repositories, and data lineage capabilities
Define and enforce data quality standards, validation rules, data dictionaries, scorecards, issue management workflows, and continuous monitoring processes
Guide development of analytics products, dashboards, reports, and visualization tools supporting operational insight and executive decision-making
Support statistical analysis, predictive modeling, trend analysis, root cause analysis, and AI-enabled analytics
Ensure data sharing, API integration, and data access models are secure, governed, auditable, and aligned with privacy, cybersecurity, and compliance requirements
Partner with cybersecurity, engineering, product, and program management teams to align platforms, applications, integrations, and analytics capabilities with enterprise standards
Establish reusable templates, frameworks, data models, ETL/ELT patterns, documentation repositories, and project management toolkits
Support training, documentation, and knowledge transfer to improve adoption and sustainment of data tools, dashboards, and data management practices
Monitor data quality, data usage, access patterns, and analytics adoption to identify risks, improvement opportunities, and operational blind spots

Requirements

What you’ll need

Bachelor’s Degree in Data Science, Computer Science, Information Systems, Engineering, Statistics, Mathematics, Business Analytics, or a related field
One active data, cloud, analytics, AI/ML, or data governance certification, such as CDMP, DAMA, AWS/Azure/GCP data certification, Microsoft Power BI certification, Databricks, Snowflake, or equivalent
10+ years of experience leading enterprise data, analytics, data governance, data engineering, data architecture, or AI-enabled analytics initiatives
8+ years of experience designing, implementing, or managing enterprise data platforms, data pipelines, data warehouses, data lakes, data marts, data catalogs, or metadata management capabilities
U.S. Citizenship required due to federal contract requirements
Must be able to obtain and maintain a Public Trust clearance
Preferred: 5+ years establishing data governance policies, standards, stewardship models, data quality frameworks, data dictionaries, lineage practices, or data management operating models
Preferred: 5+ years delivering analytics products, dashboards, reporting capabilities, data visualizations, or executive decision-support tools
Preferred: 5+ years working in federal, public sector, healthcare, life sciences, or other regulated environments
Preferred: 3+ years supporting AI-enabled analytics, predictive modeling, machine learning workflows, anomaly detection, or advanced analytics use cases
Preferred: 3+ years with APIs, ETL/ELT pipelines, data orchestration, batch processing, real-time ingestion, or change data capture
Preferred: 3+ years using Power BI, Tableau, QuickSight, Looker, Palantir Foundry, or similar platforms
Preferred: 3+ years with AWS, Microsoft Azure, Google Cloud Platform, or similar cloud environments
Preferred: Experience supporting HHS, NIH, FDA, CMS, CDC, or other health-focused federal environments
Preferred: Experience with Chief Data Office functions, enterprise data governance programs, or data portfolio management organizations
Preferred: Experience with data privacy, data protection, data classification, DLP, encryption, RBAC, ABAC, just-in-time access, or audit logging
Preferred: Experience aligning data capabilities with NIST, FISMA, HIPAA, FedRAMP, GDPR, or other security and compliance frameworks
Preferred: Experience developing data catalogs, metadata management approaches, lineage models, data quality scorecards, data issue repositories, and data stewardship workflows
Preferred: Experience implementing AI governance, responsible AI practices, model monitoring, explainability, human-in-the-loop review, or secure AI-enabled analytics
Preferred: Experience with SQL, Python, R, Databricks, Snowflake, Redshift, BigQuery, Synapse, Dataverse, or similar data platforms and tools
Preferred: Additional cloud, data, analytics, AI/ML, cybersecurity, Agile, ITIL, DAMA, CDMP, or project management certification

Benefits

Comp & perks

Equal opportunity employer
Reasonable accommodations for disabilities, disabled veterans, and sincerely held religious beliefs
Confidential accommodation support during the application and employment process