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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in leading technology modernization efforts and managing AI innovation portfolios, with a strong focus on system architecture, data governance, and quality assurance. Proven ability to bridge technical and non-technical stakeholders while mentoring engineering teams in a global health context.
Highest-signal resume keywords
AI/ML System ArchitectureData Governance and EthicsCloud Platform Expertise (AWS, Azure, Google Cloud)Survey Operations and Data CollectionTeam Leadership and Mentoring
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
System ArchitectureData PipelinesSpecification-Driven DevelopmentAgentic Coding ToolsQuantitative Acceptance CriteriaAutomated Data-to-Report ProductionNatural-Language Data AccessMultilingual Questionnaire DesignLow-Connectivity DeploymentCybersecurity Practices
Soft Skills
Excellent Communication SkillsSound Judgment Under UncertaintySelf-MotivatedAbility to Translate Technical ConceptsCredibility with Engineers and Executives
Tools & Technologies
Cloud PlatformsData Quality ToolsTesting FrameworksPrototyping ToolsProject Management Software
Industry Keywords
Global HealthInternational DevelopmentIRB RequirementsData PrivacyMulti-Country Deployments
Tech Stack
Tools & technologiesAWSAzureCloudCyber Security
About the role
Key responsibilities & impact- Lead technology modernization efforts across global health and survey programs
- Own end-to-end delivery of the program's AI innovation portfolio
- Manage workstreams covering automated data-to-report production, natural-language data access, multilingual questionnaire design, field data quality, and new measurement approaches
- Run stage-gate processes, lead go/no-go reviews, stop underperforming workstreams, publish learnings, and reallocate funding
- Serve as principal technical counterpart to the funder and lead progress reporting and learning reviews
- Manage the innovation portfolio, schedule, risks, inference costs, and cloud operating costs with the project manager
- Coordinate across global development programs and share methods and results
- Act as technical lead and architect for workstreams, owning system design and design documentation
- Stay hands-on through prototyping and production
- Define quantitative acceptance criteria and quality thresholds with survey experts
- Set architecture and standards for model selection and routing, privacy-preserving design, offline and low-connectivity deployment, and security
- Establish engineering practices including specification-driven development, agentic coding tools, evaluation-first delivery, code review, and testing
- Protect data quality and comparability across countries and over time
- Oversee responsible AI, data governance, ethics, ICF security standards, IRB requirements, and partner-country data sovereignty
- Lead and mentor applied AI, software, ML, and platform engineers
- Bridge technology and survey expertise across methodologists, statisticians, field teams, and engineers
- Work with national statistical offices and ministries of health to design deployable tools
- Share results through public documentation, publications, and technical and global health conferences
- Contribute to business growth through client engagement, white papers, and proposal development
Requirements
What you’ll need- Bachelor's degree in IT, Engineering, Information Systems, or a related technical field, or equivalent experience
- Minimum 10 years of professional experience designing and delivering technology solutions
- Hands-on architecture of multiple complex systems taken into production
- Minimum 5 years leading and mentoring software or data engineering teams
- Track record of architecting and delivering AI/ML or LLM-powered systems in production
- Experience measuring system quality and identifying failures
- Experience leading a multi-workstream technology program for a foundation, donor, or government client, with accountability for budget and results
- 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 by federal government contract
- Preferred: working proficiency in French or Portuguese
- Preferred: survey operations or data collection background
- Preferred: global health or international development experience in low- and middle-income countries
- Preferred: low-connectivity field data-collection systems or offline/edge deployment experience
- Preferred: experience with national statistical offices or ministries of health
- Preferred: stage-gated R&D or innovation portfolio leadership
- Preferred: quantitative acceptance thresholds for AI or data systems
- Preferred: multi-country deployments involving jurisdictional data restrictions, data privacy, governance, and IRB processes
- Preferred: 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 engineers and executives
- Sound judgment under uncertainty
- Excellent communication and presentation skills
- Ability to translate between technical and non-technical stakeholders and across cultures
- Self-motivated and able to work with limited direct supervision
Benefits
Comp & perks- 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
