ICF
ICF
ICF — федералдық ІТ инфрақұрылымын жаңғырту, энергетика және коммуналдық қызметтер, қоғамдық денсаулық сақтау, климаттық тұрақтылық, апаттарды басқару және көлік сияқты салалардағы күрделі мәселелерді мемлекеттік және коммерциялық клиенттермен бірлесіп шешетін жаһандық консалтинг және технологиялық қызметтер компаниясы. Оның командалары практикалық шешімдерді әзірлеп, енгізу үшін деректер мен талдауды, жасанды интеллектіні, киберқауіпсіздікті және салалық сараптаманы ұштастырады. ICF әлеуметтік бағдарламаларды, қоғамды дамытуды және шығарындылары төмен болашақты қолдайтын бастамаларды қоса алғанда, корпоративтік азаматтық пен тұрақты дамуға да назар аударады. Компания халықаралық деңгейде жұмыс істейді және Еуропада Бельгияда, Испанияда және Ұлыбританияда айтарлықтай қатысуы бар.

Technology Director, Global Health – Remote

Direct technology modernization and AI innovation across ICF’s global health and survey programs. Lead architecture, delivery, responsible AI, and cross-functional workstreams from prototyping through production.

Сипаттама

  • Direct technology modernization across global health and survey programs
  • Own delivery of the program’s AI innovation portfolio from planning through implementation
  • Lead workstreams for automated data-to-report production, natural-language data access, multilingual questionnaires, field data quality, and new measurement methods
  • Manage stage gates, go/no-go decisions, underperforming workstreams, documented learnings, and funding reallocation
  • Act as the funder’s primary technical counterpart
  • Lead progress reporting and learning reviews
  • Manage the portfolio, schedule, risks, inference costs, and cloud operating costs with the project manager
  • Coordinate work across global development programs and technology partners
  • Serve as technical lead and architect for a group of workstreams
  • Own system design, prepare design documentation, and contribute hands-on through prototyping and production
  • Set quantitative quality thresholds and acceptance criteria with survey specialists
  • Define architecture and engineering standards for model routing, privacy-preserving systems, offline and low-connectivity deployment, and security
  • Establish practices for specification-driven development, agentic coding tools, evaluation-first delivery, code review, and testing
  • Maintain data quality and comparability across countries and time periods
  • Oversee responsible AI, data governance, ethics, ICF security standards, IRB requirements, and partner-country data sovereignty
  • Lead and mentor applied AI, software, machine learning, and platform engineers
  • Connect technology and survey expertise across methodologists, statisticians, field teams, and engineers
  • Partner with national statistical offices and ministries of health to develop deployable tools
  • Disseminate results through public documentation, publications, and technical and global health conferences
  • Support client engagement, white papers, and proposal development

Талаптар

  • Bachelor’s degree in IT, engineering, information systems, or a related technical discipline, or equivalent experience
  • At least 10 years of professional experience designing and delivering technology solutions
  • Hands-on experience architecting multiple complex systems through production deployment
  • At least 5 years leading and mentoring software or data engineering teams
  • Demonstrated experience architecting and delivering production AI, machine learning, or LLM-powered systems
  • Experience leading a multi-workstream technology program for a foundation, donor, or government client with accountability for budget and outcomes
  • Deep knowledge of system architecture, data pipelines, software development methods, and at least one major cloud platform such as AWS, Azure, or Google Cloud
  • Hands-on familiarity with agentic coding tools and specification-driven development
  • U.S. citizenship required for the federal government contract
  • Working proficiency in French or Portuguese preferred
  • Preferred experience includes survey operations, data collection, global health or international development, low-connectivity field systems, national statistical offices or ministries of health, stage-gated R&D, quantitative AI or data acceptance thresholds, multi-country data governance, cybersecurity, publications, or conference presentations
  • Advanced degree in computer science, statistics, demography, public health, or a related field preferred
  • Strong communication and presentation skills
  • Ability to collaborate with technical and non-technical stakeholders across cultures

Артықшылықтар

  • Equal opportunity employer
  • Reasonable accommodations are available for disabled veterans, individuals with disabilities, and people with sincerely held religious beliefs
  • Confidential support is available for accommodation requests
  • Benefit offerings are referenced under the Transparency in Benefits Coverage Act

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