Enterprise Data & AI Lead

ICF

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

Posted 10/5/2026full-timeRemote • 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 decision-making and operational insights.

Highest-signal resume keywords

Data Governance PoliciesData Architecture DesignAI-Enabled AnalyticsData Quality FrameworksCloud Data Services

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data PipelinesData LakesData WarehousesData CatalogsSQLPythonRETL/ELTPredictive ModelingData Visualization

Soft Skills

LeadershipCollaborationCommunicationTrainingKnowledge Transfer

Tools & Technologies

Power BITableauDatabricksSnowflakeAWSMicrosoft AzureGoogle Cloud PlatformQuickSightLookerPalantir Foundry

Certifications & Qualifications

CDMPDAMAAWS Data CertificationAzure Data CertificationGCP Data CertificationMicrosoft Power BI Certification

Industry Keywords

Federal Technology EnvironmentHealthcareLife SciencesPrivacy ComplianceCybersecurityNISTFISMAHIPAAFedRAMPGDPR

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 that provide operational insight and support executive decision-making
Support advanced analytics capabilities, including 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 data platforms, applications, integrations, and analytics capabilities with enterprise standards
Establish reusable templates, frameworks, data models, ETL/ELT patterns, documentation repositories, and project management toolkits for data initiatives
Support training, documentation, and knowledge transfer to improve user adoption and long-term 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
5+ years of experience establishing data governance policies, standards, stewardship models, data quality frameworks, data dictionaries, lineage practices, or data management operating models
5+ years of experience delivering analytics products, dashboards, reporting capabilities, data visualizations, or executive decision-support tools
5+ years of experience in federal, public sector, healthcare, life sciences, or other regulated environments with formal privacy, security, or compliance requirements
3+ years of experience supporting AI-enabled analytics, predictive modeling, machine learning workflows, anomaly detection, or advanced analytics use cases
3+ years of experience with data integration methods, including APIs, ETL/ELT pipelines, data orchestration, batch processing, real-time ingestion, or change data capture
3+ years of experience using data visualization, analytics, or business intelligence tools such as Power BI, Tableau, QuickSight, Looker, Palantir Foundry, or similar platforms
3+ years of experience with cloud data services on AWS, Microsoft Azure, Google Cloud Platform, or similar cloud environments
Experience supporting HHS, NIH, FDA, CMS, CDC, or other health-focused federal environments
Experience building or supporting Chief Data Office functions, enterprise data governance programs, or data portfolio management organizations
Experience with data privacy, data protection, data classification, DLP, encryption, RBAC, ABAC, just-in-time access, or audit logging requirements
Experience aligning data capabilities with NIST, FISMA, HIPAA, FedRAMP, GDPR, or other security and compliance frameworks
Experience developing data catalogs, metadata management approaches, lineage models, data quality scorecards, data issue repositories, and data stewardship workflows
Experience implementing AI governance, responsible AI practices, model monitoring, explainability, human-in-the-loop review, or secure AI-enabled analytics
Experience with SQL, Python, R, Databricks, Snowflake, Redshift, BigQuery, Synapse, Dataverse, or similar data platforms and tools
Additional cloud, data, analytics, AI/ML, cybersecurity, Agile, ITIL, DAMA, CDMP, or project management certification

Benefits

Comp & perks

Equal opportunity employer
Reasonable accommodations for disabled veterans, individuals with disabilities, and individuals with sincerely held religious beliefs
Confidential accommodation support
Benefits information provided under the Transparency in Coverage Act