Program Officer, Knowledge Management and AI Enablement

Gates Foundation•Washington, DC

59d•Hybrid

About The Position

The Program Officer, Knowledge Management and AI Enablement is responsible for stewarding diverse data assets and translating complex information into structures and systems that can be leveraged by developing AI systems across the Communications Division. Reporting into the Deputy Director, Insights & Analytics, this role combines technical architecture, applied AI expertise, and change leadership to ensure the AI tools built and used by colleagues are built on robust data architecture. This is a limited-term position that will go until the end of December 2027. Relocation will not be provided.

Requirements

Bachelor’s degree
5+ years of experience in knowledge management, data analysis, research, evaluation, or a related role.
Demonstrated experience working with multiple data types, including qualitative and quantitative datasets.
Experience organizing, tagging, and managing data for analysis, reporting, and long-term reuse.
Experience developing data visualizations using common visualization tools or platforms.
Working knowledge of quantitative analytical software and methods.
Fluency with contemporary AI tools for data analysis and sensemaking (sophisticated user level; not developer).
Strong analytical, synthesis, and communication skills, with the ability to tailor outputs to varied audiences.
Must have unrestricted work authorization in the country where this position is located.

Nice To Haves

advanced degree in information science, data science, social science, public policy, or a related field preferred.

Responsibilities

Serve as a data and knowledge steward, ensuring key data assets are organized, governed, and accessible for analysis and learning.
Act as a bridge between data, analysis, and communications, translating complex findings into clear and usable formats.
Demonstrate frontier AI fluency, particularly in how data must be structured, organized and maintained, so as to make best use of developing AI knowledge systems.
Design and build data infrastructure to support the development and use of advanced AI tools, including data pipelines, governance, and documentation.
Enable AI readiness across data, processes, and organizational culture to support sustained adoption.
Work with diverse data types—including communications data such as media monitoring (social and traditional), public opinion research, and network analysis—across qualitative and quantitative formats.
Oversee cataloging, coding, tagging, and organizing data to ensure it is usable for AI-enabled analysis and reporting.
Prepare data for analysis and reporting, supporting analytical investigations and synthesis across teams.
Apply quantitative analytical tools and methods to support evaluation, learning, and insight generation.
Use contemporary AI tools at a sophisticated user level to support data analysis, synthesis, and knowledge management workflows.
Identify high-value opportunities for AI to improve communications and programmatic work and surface barriers to adoption.
Develop or oversee the development of bespoke AI tools and applications tailored to communications and influence-related use cases.
Evaluate emerging AI tools and platforms for applicability, scalability, and responsible use across the division.
Partner closely with leadership to translate identified impediments to AI adoption into actionable decisions and investments.