Senior Data Governance & Responsible AI Lead in United States Embassy at Jobgether

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Data Governance & Responsible AI Lead based in United States.

This role offers the opportunity to shape the governance foundation behind large-scale data and AI ecosystems supporting critical public and enterprise operations.
You will lead the implementation of practical governance frameworks that ensure trusted data, responsible AI adoption, and operational transparency.
The position combines strategic leadership, technical understanding, and hands-on execution across data, analytics, and AI initiatives.
You will collaborate with engineering teams, business stakeholders, security partners, legal teams, and executive leaders to establish sustainable governance practices.
This role focuses on turning governance principles into repeatable processes, workflows, and controls that enable confident decision-making.
You will play a key part in building scalable data and AI capabilities while ensuring accountability, quality, and long-term operational success.

As a Senior Data Governance & Responsible AI Lead, you will establish and operationalize governance practices across data platforms, analytics solutions, and AI-enabled products. You will ensure that governance is embedded into daily operations through clear ownership, reliable processes, strong documentation, and responsible AI controls.

• Lead the implementation and execution of data governance frameworks across data, analytics, and AI products.
• Establish governance workflows covering data ownership, stewardship, approvals, escalation paths, and auditability.
• Coordinate governance activities across multiple stakeholders, including business teams, technical teams, and organizational leaders.
• Define source-system readiness standards, ensuring datasets have clear ownership, access pathways, refresh schedules, lineage visibility, and quality expectations.
• Develop and maintain metadata, catalog, business glossary, and lineage governance standards to improve transparency and trust.
• Partner with engineering teams to strengthen data traceability and visibility across platforms, semantic layers, and intelligence products.
• Lead KPI and semantic governance processes to ensure consistent business definitions, reporting standards, and approved metrics.
• Operationalize responsible AI governance workflows, including AI use-case reviews, risk assessment, privacy considerations, human oversight controls, and monitoring processes.
• Establish governance reporting, scorecards, review routines, and quality controls to support accountability and audit readiness.
• Create governance playbooks, templates, SOPs, and documentation to enable long-term adoption and independent operational ownership.

Requirements:

The ideal candidate brings extensive experience in data governance, enterprise data management, and responsible AI practices, with the ability to operate across technical and business environments. You should have strong stakeholder management skills and the ability to transform governance strategies into practical operational processes.

• 8+ years of experience in data governance, information governance, analytics governance, enterprise data management, or related leadership roles.
• Proven experience implementing governance programs in complex, cross-functional environments.
• Strong knowledge of data ownership, stewardship models, metadata management, lineage, data quality, auditability, and governance controls.
• Experience working with cloud-based data and analytics platforms.
• Ability to collaborate effectively with engineering teams, business stakeholders, legal and security partners, and executive leadership.
• Strong facilitation, communication, documentation, and stakeholder management skills.
• Experience with responsible AI governance, AI risk management, or AI-enabled operational systems is preferred.
• Familiarity with metadata and catalog platforms such as OpenMetadata, Microsoft Purview, Collibra, Alation, or similar technologies is a plus.
• Understanding of governance and compliance frameworks such as NIST, CJIS, HIPAA, SOC 2, or FedRAMP-related environments is preferred.
• Experience supporting KPI governance, semantic governance, business glossary management, or enterprise reporting standards is advantageous.
• Ability to work effectively in distributed teams with strong ownership, organization, and communication skills.

Benefits:

• Opportunity to lead impactful data governance and responsible AI initiatives.
• Fully remote work environment with collaboration across global teams.
• Opportunity to influence the development of scalable governance frameworks and operational practices.
• Exposure to complex data, analytics, and AI transformation projects.
• Collaborative culture focused on innovation, ownership, and real-world impact.
• Opportunity to work with multidisciplinary teams across technology, business, and public-sector environments.
• Professional growth opportunities through challenging, mission-driven projects.