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Apply to AI, Data Platforms & Responsible AI Governance Lead - R-07B
AI, Data Platforms & Responsible AI Governance Lead - R-07B
Requisition: R-07B
Opportunity: 26-0015 / 1131PL26R0058
Location Anchor: Washington, DC 20001
Work mode: Fully remote / U.S.-based
Travel: Europe/Eurasia as assigned
Engagement: Contingent expert
Role purpose
Lead feasibility and project-scoping analysis for public-sector AI, data platforms, analytics, and responsible-AI governance within Europe/Eurasia digital-infrastructure opportunities. Translate policy goals and incomplete data environments into implementable use cases, architectures, governance controls, procurement requirements, budgets, schedules, and measurable outcomes.
Representative assignment problems
• Assess data availability, quality, ownership, interoperability, privacy, residency, security, institutional capacity, and public acceptance.
• Define AI/data-platform alternatives across cloud, data-center, edge, and connectivity environments.
• Evaluate model purpose, training and inference data, human oversight, explainability, bias, safety, cybersecurity, vendor lock-in, lifecycle cost, and operating capacity.
• Develop phased roadmaps, pilots, TOR/SOW requirements, budgets, schedules, acceptance tests, and responsible-AI controls.
• Support digital-government, critical-infrastructure, service-delivery, urban/municipal, geospatial, or cross-border data use cases when assigned.
Responsibilities
• Own AI/data analysis modules and integrate them with cybersecurity, data-center, connectivity, finance, regulatory, and regional work.
• Produce evidence-traceable inputs for Preliminary Assessments, Project Reports, TORs, independent budgets, schedules, and the cumulative Final Report.
• Distinguish proven use cases from speculative vendor claims and document limitations, dependencies, and recovery paths.
• Define data/model governance, monitoring, incident, human-approval, and independent-review requirements.
• Participate in remote analysis, stakeholder discovery, quality review, and international travel when assigned.
• Protect sensitive information and disclose actual, potential, or apparent conflicts.
Minimum evidence-based qualifications
• 10+ years of relevant data-platform, AI/ML, analytics, digital-government, or technology-governance experience, with dated named projects; the résumé must separately show the duration of direct AI work.
• Direct responsibility for AI/data feasibility, architecture, governance, deployment roadmap, procurement/TOR/SOW, or implementation decisions—not only software development or tool use.
• Evidence addressing data quality, privacy, interoperability, model risk, cybersecurity, human oversight, adoption, and measurable outcomes.
• Public-sector, regulated-infrastructure, international-development, or Europe/Eurasia experience strongly preferred.
• U.S. citizen or lawful permanent resident; Axyde will request written confirmation but not identity documents during recruiting.
• Strong written English, independent technical judgment, contingent availability, and international-travel ability.
Evidence to submit
• Current résumé with month/year dates and exact project responsibilities.
• Short project list naming client, country, period, data/AI use case, architecture or governance product, and outcome.
• One nonproprietary example of an AI/data options analysis, roadmap, governance framework, procurement package, or TOR.
• Current city/state, hourly-rate expectation, availability, travel status, and employment/country/customer/conflict restrictions.
Application questions
1. Identify three relevant data/AI projects and state the years of direct AI work separately from general IT tenure.
2. Describe one public-sector or regulated-infrastructure use case and the decision product you led.
3. Explain how you addressed data quality, privacy/residency, cybersecurity, bias/model risk, human oversight, and vendor lock-in.
4. Describe one roadmap, procurement package, TOR/SOW, pilot design, or acceptance framework you produced.
5. Identify Europe/Eurasia countries/languages and international-development experience.
6. Are you a U.S. citizen or lawful permanent resident? Answer only yes/no/category; do not upload identity documents.
7. Confirm availability, travel ability, conflicts/restrictions, employer approvals, and rate expectation.
Contingent-opportunity notice
This posting supports a competitive federal proposal. It is not an offer or guarantee of employment, subcontract, hours, travel, award, or assignment. Selection is conditioned on written résumé authorization, evidence review, eligibility, availability, conflict review, rate agreement, proposal strategy, award, and customer direction. Do not submit passports, Social Security numbers, immigration documents, classified/export-controlled information, or customer-proprietary material.
Requisition: R-07B
Opportunity: 26-0015 / 1131PL26R0058
Location Anchor: Washington, DC 20001
Work mode: Fully remote / U.S.-based
Travel: Europe/Eurasia as assigned
Engagement: Contingent expert
Role purpose
Lead feasibility and project-scoping analysis for public-sector AI, data platforms, analytics, and responsible-AI governance within Europe/Eurasia digital-infrastructure opportunities. Translate policy goals and incomplete data environments into implementable use cases, architectures, governance controls, procurement requirements, budgets, schedules, and measurable outcomes.
Representative assignment problems
• Assess data availability, quality, ownership, interoperability, privacy, residency, security, institutional capacity, and public acceptance.
• Define AI/data-platform alternatives across cloud, data-center, edge, and connectivity environments.
• Evaluate model purpose, training and inference data, human oversight, explainability, bias, safety, cybersecurity, vendor lock-in, lifecycle cost, and operating capacity.
• Develop phased roadmaps, pilots, TOR/SOW requirements, budgets, schedules, acceptance tests, and responsible-AI controls.
• Support digital-government, critical-infrastructure, service-delivery, urban/municipal, geospatial, or cross-border data use cases when assigned.
Responsibilities
• Own AI/data analysis modules and integrate them with cybersecurity, data-center, connectivity, finance, regulatory, and regional work.
• Produce evidence-traceable inputs for Preliminary Assessments, Project Reports, TORs, independent budgets, schedules, and the cumulative Final Report.
• Distinguish proven use cases from speculative vendor claims and document limitations, dependencies, and recovery paths.
• Define data/model governance, monitoring, incident, human-approval, and independent-review requirements.
• Participate in remote analysis, stakeholder discovery, quality review, and international travel when assigned.
• Protect sensitive information and disclose actual, potential, or apparent conflicts.
Minimum evidence-based qualifications
• 10+ years of relevant data-platform, AI/ML, analytics, digital-government, or technology-governance experience, with dated named projects; the résumé must separately show the duration of direct AI work.
• Direct responsibility for AI/data feasibility, architecture, governance, deployment roadmap, procurement/TOR/SOW, or implementation decisions—not only software development or tool use.
• Evidence addressing data quality, privacy, interoperability, model risk, cybersecurity, human oversight, adoption, and measurable outcomes.
• Public-sector, regulated-infrastructure, international-development, or Europe/Eurasia experience strongly preferred.
• U.S. citizen or lawful permanent resident; Axyde will request written confirmation but not identity documents during recruiting.
• Strong written English, independent technical judgment, contingent availability, and international-travel ability.
Evidence to submit
• Current résumé with month/year dates and exact project responsibilities.
• Short project list naming client, country, period, data/AI use case, architecture or governance product, and outcome.
• One nonproprietary example of an AI/data options analysis, roadmap, governance framework, procurement package, or TOR.
• Current city/state, hourly-rate expectation, availability, travel status, and employment/country/customer/conflict restrictions.
Application questions
1. Identify three relevant data/AI projects and state the years of direct AI work separately from general IT tenure.
2. Describe one public-sector or regulated-infrastructure use case and the decision product you led.
3. Explain how you addressed data quality, privacy/residency, cybersecurity, bias/model risk, human oversight, and vendor lock-in.
4. Describe one roadmap, procurement package, TOR/SOW, pilot design, or acceptance framework you produced.
5. Identify Europe/Eurasia countries/languages and international-development experience.
6. Are you a U.S. citizen or lawful permanent resident? Answer only yes/no/category; do not upload identity documents.
7. Confirm availability, travel ability, conflicts/restrictions, employer approvals, and rate expectation.
Contingent-opportunity notice
This posting supports a competitive federal proposal. It is not an offer or guarantee of employment, subcontract, hours, travel, award, or assignment. Selection is conditioned on written résumé authorization, evidence review, eligibility, availability, conflict review, rate agreement, proposal strategy, award, and customer direction. Do not submit passports, Social Security numbers, immigration documents, classified/export-controlled information, or customer-proprietary material.