Senior Officer, AI Enablement and Workflows, U.S. Program

Bill & Melinda Gates Foundation•Seattle, WA

11d•$190,000 - $324,000

About The Position

The Senior Officer, AI Enablement and Workflows, supports the U.S. Program’s Ambition 2045 effort to accelerate equitable upward mobility through educational attainment. Within the Office of the President’s Strategic Planning & Management function, this role manages the creation and deployment of AI-enabled systems and tools supporting strategic planning, measurement and learning, communications, and colleague engagement. Serving as product manager for a portfolio of internal AI-enabled products, the Senior Officer develops and drives a roadmap that connects tools to business needs, determines prioritization and sequencing, and turns needs into practical solutions that are adopted and continually improved. The role combines experience building or deploying AI-enabled workflows with systems thinking to connect tools, data, and operational processes into coherent experiences. It also requires collaboration with technical and organizational partners, clear communication across technical and non-technical audiences, and attention to responsible AI, privacy, security, and governance.

Requirements

Demonstrated professional experience building or deploying AI-enabled tools, with hands-on familiarity with large language models, prompt engineering, data infrastructure, retrieval-augmented generation, agentic workflows, evaluation, and moving AI solutions from prototype to production.
Significant experience partnering closely with technical teams to translate non-technical business needs into scalable products for broad audiences.
Significant experience owning the full lifecycle of internal tools or operational products, from prioritizing use cases and managing iterative development through adoption and continuous improvement.
Experience addressing responsible AI, data privacy, security, and enterprise governance in product development, including engaging relevant functions and incorporating their requirements into product decisions.
Significant experience designing and maintaining operational templates, process documentation, shared systems, and fluency materials that support consistent strategy, metrics, and analysis in a complex organization.
Experience working in or closely with large, matrixed organizations, particularly in philanthropy, the public sector, or social impact settings, and ability to build trust and alignment across teams and seniority levels.
Demonstrated experience understanding leadership and team needs through product management, user research and testing, stakeholder interviews, and strategic discovery.
Must be legally able to work in the country where the position is located without visa sponsorship.

Responsibilities

Identify needs for AI-enabled tools that support executive decision-making and strategic trade-offs; build them directly or partner with the Data & AI Infrastructure team, manage handoffs, and ensure tools reflect USP strategy, impact goals, models, and governance processes.
Identify OOP business needs, such as project management and pipeline tracking, and streamline processes through automation and workflow improvements.
Prototype and experiment rapidly to test usability and validate needs before committing to full development; build and maintain tools and operational systems that advance beyond prototyping.
Translate division strategy and measurement priorities into operational templates, shared systems and tools, and process documentation.
Maintain and prioritize potential projects and feature requests; assess feasibility and sequencing; align with OOP and division leadership on what to build, when, and why; and ensure follow-through on commitments.
Drive adoption of tools and workflows by creating user guidance, facilitating onboarding, soliciting feedback from colleagues with varied roles and technical fluency, and partnering with the learning and engagement team as needed.
Contribute to division-wide learning and change efforts, including trainings, learning sessions, and other adoption activities.
Navigate ambiguous and fast-moving problem spaces, make strategic decisions about investment and pace, and consider durability and scalability as AI capabilities evolve.
Communicate AI concepts accessibly to technical and non-technical audiences and facilitate working sessions that advance alignment and decision-making.
Contribute to an inclusive team culture by seeking and giving feedback, supporting colleagues in navigating AI tools and workflows, and modeling curiosity and openness.