Principal Data Lead (AI/ML)

Location: Washington, DC, USA; primarily remote with occasional in-person participation for planning, transition, training, meetings, workshops, or other program events.

Company

hirify.global delivers data, technology, and IT services to government agencies supporting national health and safety missions.

What you will do

• Lead execution of the program data strategy across mission, architecture, security, privacy, analytics, AI/ML, and operational requirements.
• Establish and improve data supply chain practices covering sourcing, ingestion, transformation, validation, storage, access, distribution, monitoring, and retirement.
• Lead metadata maturity, data catalogs, dictionaries, classifications, lineage, ownership, stewardship, and data-product documentation.
• Establish trusted-data promotion governance and data-quality standards, measurements, issue management, remediation, and continuous improvement.
• Coordinate data domains, ownership, stewardship, access, interoperability, and data-sharing decisions across MACBIS source systems and CMS data owners.
• Collaborate with architects, engineers, cloud, cybersecurity, product, analytics, AI/ML, and operations teams to implement secure and auditable data practices.

Requirements

• At least 5 years of experience in a senior data leadership role such as Principal Data Lead, Chief Data Officer, Chief Data Architect, Data Strategy Lead, Enterprise Data Architect, or Data Governance Lead on a federal IT services program.
• Deep expertise in enterprise data strategy, governance, stewardship, metadata, quality, lineage, catalogs, classification, interoperability, and data sharing.
• Experience with data supply chains, trusted-data certification, data-quality programs, data governance across multiple domains, and coordination among government and technical stakeholders.
• Working knowledge of data lakes, warehouses, lakehouses, data meshes, ETL/ELT, APIs, event-driven integration, master data, data virtualization, analytics platforms, and secure data sharing.
• Experience with governance and data-management tools such as Collibra, Alation, Informatica, Microsoft Purview, AWS Glue Data Catalog, Apache Atlas, Databricks, or Snowflake.
• Bachelor’s degree and eligibility to obtain a government PIV credential, complete a federal background investigation, receive a suitability determination, and satisfy E-Verify employment eligibility requirements are required.

Nice to have

• Federal modernization, cloud migration, healthcare data, cybersecurity, systems integration, or large-scale technology transformation experience.
• Experience with CMS data environments, MACBIS-related source systems, or government health and human services data ecosystems.
• Experience governing data for AI/ML platforms, including feature management, model inputs, retrieval-augmented generation, vector search, and responsible AI.
• Relevant data-management, governance, cloud, analytics, or architecture certifications; an MBA or relevant master’s degree.

Culture & Benefits

• Primarily remote work with occasional client-directed or approved in-person participation.
• Collaboration with government data owners, program leadership, architects, engineers, analytics and AI/ML teams, cybersecurity personnel, and source-system stakeholders.
• Routine office environment with flexibility to support extended hours during critical milestones and program priorities.
• Pre-employment screening is required.