Enterprise Data, AI Lead

🔥 5 minutes ago

⚔️ Virginia – Remote

⚔️ Virginia – Remote

💵 $89.6k - $152.4k / year

⏰ Full Time

🟠 Senior

🤖 AI Engineer

👻 Ghost score 0%

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ICF

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 1969

💼 Consulting

🏛️ Government

🏥 Healthcare

💰 $29M Grant on 2023-03

Consulting • Government • Healthcare

ICF is a global consulting firm founded over 55 years ago that partners with governments, businesses, and communities to deliver data-driven, technology-enabled solutions for complex public- and private-sector challenges. Its work areas include digital modernization, data analytics, resilience and adaptation, energy planning, federal health programs, disaster management, and infrastructure and transportation support. ICF provides consulting, program implementation, and advisory services to drive measurable outcomes and build community resilience.

📋 Description

• 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

• 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

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