Enterprise Data, AI Lead

🕒 Outubro 6

⚔️ Virginia – Remoto

⚔️ Virginia – Remote

💵 $89.649 - $152.404 / ano

⏰ Tempo Integral

🟠 Sênior

🤖 Engenheiro de IA

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ICF

SiteLinkedInTodas as Vagas

5001 - 10000 funcionários

Fundada em 1969

💼 Consultoria

🏛️ Governo

🏥 Saúde

💰 $29.000.000 Grant em 2023-03

Consulting • Government • Healthcare

A ICF é uma empresa de consultoria global fundada há mais de 55 anos que faz parceria com governos, empresas e comunidades para oferecer soluções baseadas em dados e impulsionadas por tecnologia para desafios complexos do setor público e privado. Suas áreas de atuação incluem modernização digital, análise de dados, resiliência e adaptação, planejamento energético, programas federais de saúde, gestão de desastres e suporte a infraestrutura e transporte. A ICF fornece serviços de consultoria, implementação de programas e assessoria para promover resultados mensuráveis e fortalecer a resiliência comunitária.

Descrição

• 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

🎯 Requisitos

• 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

🏖️ Benefícios

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