Enterprise Data & AI Lead - Remote

ICF; United States; À distance; USD 90 000 - 152 000; Plein temps

Résumé du poste

ICF seeks a seasoned Chief Data Office / Data & AI Lead to guide enterprise data, analytics, governance, and AI-enabled capabilities for a complex federal technology program. You will shape data policy, architecture, and governance while delivering dashboards, data products, and secure access models that support mission outcomes.

The role requires deep experience in regulated environments, strong technical credibility across data management disciplines, and a proven ability to translate business

Qualifications

• 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, cloud data certs, or equivalent.
• 10+ years of experience leading enterprise data, analytics, data governance, or AI-enabled analytics initiatives.
• 8+ years of experience designing, implementing, or managing enterprise data platforms and pipelines.
• U.S. Citizenship required due to federal contract requirements.
• Must be able to obtain and maintain a Public Trust clearance.

Responsabilités

• 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.

Connaissances

Data governance

Data architecture

Analytics leadership

AI/ML

Cloud platforms

SQL

Python

Formation

Bachelor’s Degree in Data Science, CS, IS, Engineering, Statistics, Mathematics, or Business Analytics

Outils

Databricks

Snowflake

Redshift

BigQuery

Tableau

Power BI

Looker

Description du poste

Please note: This role is contingent upon a contract award. While it is not an immediate opening, ICF is actively conducting interviews and extending offers in anticipation of the award.

ICF is seeking an experienced Chief Data Office / Data & AI Lead to lead enterprise data, analytics, governance, and AI-enabled capabilities for a complex federal technology services program. This role will support the design, implementation, and sustainment of data policy, standards, governance processes, portfolio management practices, data architecture, data quality controls, analytics products, dashboards, and secure data access models.

The ideal candidate has demonstrated experience leading enterprise data initiatives in regulated environments, with strong technical credibility across data governance, data architecture, data engineering, analytics, data quality, metadata management, and responsible AI-enabled analytics. This role requires the ability to translate business, operational, and mission needs into governed, secure, and usable data capabilities that support decision-making, performance management, and continuous improvement.

Job Location: This position is remote within the United States.

Please note that ICF monitors employee work locations, restricts access from foreign locations and IP addresses, and prohibits the use of personal VPN connections.

What You’ll Be Doing

• 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.

What You Must Have

• 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 Qualifications

• 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 working 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.

Working at ICF

ICF is a global advisory and technology services provider, but we’re not your typical consultants. We combine unmatched expertise with cutting-edge technology to help clients solve their most complex challenges, navigate change, and shape the future.

We can only solve the world’s toughest challenges by building a workplace that allows everyone to thrive. We are an equal opportunity employer.Together, our employees are empowered to share theirexpertiseand collaborate with others to achieve personal and professional goals. For more information, please read ourEEOpolicy.

We will consider for employment qualified applicants with arrest and conviction records.

Reasonable Accommodations are available, including, but not limited to, for disabled veterans, individuals with disabilities, and individuals withsincerely heldreligious beliefs, in all phases of the application and employment process. To requestan accommodation,please [e-mail] we will be happy toassist. All information you provide will be kept confidential and will be used only to the extentrequiredto provide needed reasonable accommodations.

Read more aboutworkplacediscriminationrightsor our benefit offerings which are included in theTransparency in (Benefits) CoverageAct.

Candidate AI Usage Policy

At ICF, we are committed to ensuring a fair interview process for all candidates based on their own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) tools to generate orassistwith responses during interviews (whether in-person or virtual) is notpermitted. This policy is in place tomaintainthe integrity and authenticity of the interview process.

However, we understand that some candidates may require accommodationthat involves the use of AI. Ifsuch anaccommodation is needed, candidates are instructed to contact us in advance [e-mail]. Weare dedicated to providingthe necessary support to ensure that all candidates have an equal opportunity to succeed.

Pay Range

There are multiple factors that are considered in determining final pay for a position, including, but not limited to, relevant work experience, skills, certifications and competencies that align to the specified role, geographic location, education and certifications as well as contract provisions regarding labor categories that are specific to the position.

$89,649.00 - $152,404.00

Nationwide Remote Office (US99)