ICF este o companie globală de consultanță care ajută guvernele, companiile și comunitățile să abordeze provocări complexe prin date, tehnologie și expertiză în implementarea programelor. Înființată în 1969, compania activează în domeniile consultanței, administrației publice și sănătății, sprijinind modernizarea digitală, analiza datelor, reziliența și adaptarea, planificarea energetică, programele federale de sănătate, gestionarea dezastrelor, infrastructura și transporturile. Echipele sale combină serviciile de consultanță cu implementarea programelor pentru a ajuta clienții să obțină rezultate măsurabile și să consolideze reziliența comunităților.
Technology Director, Global Health AI and Software Modernization – Maryland Remote
Lead AI innovation and software modernization across ICF’s global health and survey programs. Oversee architecture, delivery, data quality, and accountability to funders.
Statele Unite ale Americii
Maryland131.256 $ – 223.134 $ / an
RemoteNormă întreagăLiderLimbă Obligatorie: englezăDirectorDescriere
- Direct technology modernization across global health and survey programs
- Own end-to-end delivery of the program’s AI innovation portfolio
- Oversee workstreams for automated data-to-report production, natural-language data access, multilingual questionnaires, field data quality, and new measurement methods
- Operate stage-gate reviews, make go/no-go decisions, close underperforming workstreams, document lessons, and redirect funding
- Act as the primary technical counterpart to the funder and lead progress reporting and learning reviews
- Manage the innovation portfolio, schedule, risks, inference expenses, and cloud operating costs with the project manager
- Coordinate with global development programs to share methods and findings
- Serve as technical lead and architect for workstreams, including system design and documentation
- Remain hands-on from prototyping through production deployment
- Define quantitative acceptance criteria and quality thresholds with survey specialists
- Set architecture and standards for model selection and routing, privacy-preserving systems, offline and low-connectivity deployment, and security
- Establish engineering practices covering specification-driven development, agentic coding tools, evaluation-first delivery, code review, and testing
- Safeguard data quality and comparability across countries and time periods
- Oversee responsible AI, data governance, ethics, ICF security standards, IRB obligations, 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 create deployable tools
- Disseminate results through public documentation, publications, and technical and global health conferences
- Support business growth through client engagement, white papers, and proposal development
Cerințe
- 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
- At least 5 years of experience leading and mentoring software or data engineering teams
- Proven success architecting and delivering production AI, machine learning, or LLM-powered systems
- Experience measuring system quality and diagnosing failures
- Experience leading a multi-workstream technology program for a foundation, donor, or government client with responsibility for budget and outcomes
- Deep knowledge of system architecture, data pipelines, software development practices, 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
- Preferred: working proficiency in French or Portuguese
- Preferred: experience with survey operations or data collection
- Preferred: global health or international development experience in low- and middle-income countries
- Preferred: experience with low-connectivity field data collection or offline and edge deployments
- Preferred: experience working with national statistical offices or ministries of health
- Preferred: leadership of stage-gated R&D or innovation portfolios
- Preferred: experience defining quantitative acceptance thresholds for AI or data systems
- Preferred: experience with multi-country deployments involving jurisdictional data restrictions, privacy, governance, and IRB processes
- Preferred: knowledge of cybersecurity practices, security controls, and authorization processes
- Preferred: publications or conference presentations in AI, survey methods, or global health
- Preferred: advanced degree in computer science, statistics, demography, public health, or a related field
- Credibility with both engineers and executives
- Sound judgment when working under uncertainty
- Excellent communication and presentation abilities
- Ability to translate between technical and non-technical stakeholders and across cultures
- Self-motivated with the ability to work with limited direct supervision
Beneficii
- Occasional international travel
- Equal opportunity employment
- Reasonable accommodations for disabilities, disabled veterans, and sincerely held religious beliefs
- Benefits information provided under the Transparency in Coverage Act