Enterprise Data & AI Lead (AI)

Location: Remote within the United States; U.S. citizenship required. Access from foreign locations and personal VPN connections is prohibited. Public Trust clearance must be obtainable and maintainable.

Salary: $89,649–$152,404 annually.

Company

hirify.global is a global advisory and technology services provider delivering technology-enabled solutions for complex client and federal program challenges.

What you will do

• Lead enterprise data, analytics, governance, and AI-enabled capability delivery across a complex federal technology environment.
• Develop data governance policies, standards, operating procedures, approval workflows, accountability models, and portfolio management practices.
• Design and implement scalable data architectures, including pipelines, lakes, warehouses, marts, catalogs, metadata repositories, and lineage capabilities.
• Define data quality standards, validation rules, dictionaries, scorecards, issue workflows, and continuous monitoring processes.
• Guide analytics products, dashboards, reports, visualizations, predictive models, and other advanced analytics capabilities.
• Ensure secure, governed, auditable data sharing, API integration, and access models while partnering with cybersecurity, engineering, product, and program teams.

Requirements

• Bachelor’s degree in data science, computer science, information systems, engineering, statistics, mathematics, business analytics, or a related field.
• 10+ years leading enterprise data, analytics, governance, engineering, architecture, or AI-enabled analytics initiatives.
• 8+ years designing, implementing, or managing enterprise data platforms, pipelines, warehouses, lakes, marts, catalogs, or metadata capabilities.
• One active data, cloud, analytics, AI/ML, or data governance certification, such as CDMP, DAMA, AWS, Azure, GCP, Power BI, Databricks, or Snowflake.
• U.S. citizenship is required, and the candidate must be able to obtain and maintain a Public Trust clearance.
• Experience with data governance, quality, analytics, visualization, cloud data services, APIs, ETL/ELT, security, privacy, and compliance frameworks is strongly relevant.

Nice to have

• Experience in federal, public sector, healthcare, life sciences, or other regulated environments.
• Experience with AI governance, responsible AI, model monitoring, explainability, human-in-the-loop review, or secure AI-enabled analytics.
• Experience with Power BI, Tableau, QuickSight, Looker, Palantir Foundry, AWS, Azure, GCP, Databricks, Snowflake, Redshift, BigQuery, Synapse, or Dataverse.
• Experience supporting HHS, NIH, FDA, CMS, CDC, Chief Data Office functions, or enterprise data governance programs.

Culture & Benefits

• Full-time employment with a nationwide remote work arrangement within the United States.
• Work on complex federal technology services and regulated-data initiatives.
• Collaboration with cybersecurity, engineering, product, and program management professionals.
• Training, documentation, and knowledge transfer are part of the role’s ongoing responsibilities.