Enterprise Data & AI Lead

🕒 Outubro 5

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $89.649 - $152.404 / ano

⏰ Tempo Integral

🟠 Sênior

🤖 Engenheiro de IA

🦅 Patrocina Visto H1B

Esta empresa já patrocinou vistos H1B no passado.

👻 Score fantasma 0%

O que significa: quão provável esta vaga está aberta sem contratação ativa.Como ler: 60% ou mais significa que achamos que é uma vaga fantasma. Pontuações mais baixas preocupam menos.Como pontuamos: tempo em aberto, republicações, vagas abertas vs tamanho do time, rapidez para fechar vagas, e se o salário está divulgado.Observação: é uma estimativa de dados públicos, não um julgamento da empresa. Vagas reais podem ter pontuação alta, então use como uma dica, não como um fato.

Candidatar-se

Encontrar Vagas Remotas Similares

Configurar Alerta de Email para Novas Vagas

📊 Verifique sua pontuação de currículo para esta vaga

Melhore suas chances de conseguir uma entrevista verificando sua pontuação de currículo antes de se candidatar.

Enviar Currículo

ICF

SiteLinkedInTodas as Vagas

5001 - 10000 funcionários

Fundada em 1969

🏥 Saúde

📦 Logística

📣 Marketing

💰 $30.000.000 Grant em 2021-03

Healthcare • Logistics • Marketing

A ICF é uma empresa global de consultoria e serviços de tecnologia que ajuda clientes governamentais e comerciais a enfrentar desafios complexos. A empresa oferece expertise em áreas como modernização de TI federal, energia e utilidades, saúde pública, resiliência climática, gerenciamento de desastres e transporte. A ICF aproveita dados e análises, inteligência artificial e cibersegurança para entregar soluções inovadoras. Com um forte compromisso com a cidadania corporativa e a sustentabilidade, a ICF apoia programas sociais e desenvolvimento comunitário, visando um futuro sustentável com baixas emissões. A empresa opera globalmente, com presença significativa na Europa através de seus escritórios na Bélgica, Espanha e Reino Unido.

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 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

🎯 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 • 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

🏖️ Benefícios

• 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