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

Gates Foundation•Seattle, WA

10d

About The Position

The Senior Officer, AI Enablement and Workflows manages the creation and deployment of AI-enabled systems and tools supporting the U.S. Program’s strategic planning, measurement and learning, communications, and colleague engagement. The role serves as product manager for a portfolio of internal AI-enabled products, including executive decision-support and operational tools. It develops a product roadmap that connects tools to business needs, establishes priorities and sequencing, and turns those needs into practical solutions that are adopted and continuously improved. This role works within the Office of the President’s Strategic Planning & Management function, which supports strategy integration, planning, governance, and organizational coherence across the U.S. Program. The Senior Officer partners with technical teams and division leaders, builds or oversees tools and workflows, translates strategy and measurement priorities into shared systems and documentation, and guides adoption through user-facing support, training, and feedback. The position requires experience building or deploying AI-enabled workflows in professional settings and a systems-thinking approach to connecting tools, data, and operational processes. Applications are accepted until noon PT on Thursday, November 12, 2026. Employment is contingent upon successful completion of a background check. The candidate must be legally authorized to work in the country where the position is located without visa sponsorship.

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 use-case prioritization and iterative development through adoption and continuous improvement.
Experience navigating 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 across 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 authorized to work in the country where the position is located without visa sponsorship.

Responsibilities

Identify needs for AI-enabled tools supporting executive decision-making and strategic trade-offs; build tools directly or partner with the Data & AI Infrastructure team, manage handoffs, and ensure tools reflect U.S. Program strategies, impact goals, models, and governance processes.
Identify Office of the President business needs, such as project management and pipeline tracking, and improve processes through automation and workflow enhancements.
Prototype and experiment rapidly to test usability and validate needs before 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 that support consistent strategy, metrics, and analysis.
Maintain and prioritize a queue of potential projects and feature requests, assess feasibility and sequencing, and partner with leadership to decide what to build, when, and why.
Hold self and partners accountable for commitments and follow-through.
Drive adoption of tools and workflows by creating user-facing guidance, facilitating onboarding, soliciting feedback from colleagues, and partnering with the learning and engagement team when needed.
Contribute to division-wide learning and change efforts, including trainings, learning sessions, and other adoption activities.
Make thoughtful investment decisions in ambiguous, fast-moving problem spaces, balancing rapid experimentation with durability and scalability as AI capabilities evolve.
Communicate AI concepts clearly to technical and non-technical audiences and facilitate working sessions that advance alignment and decision-making.
Contribute to a positive, inclusive team culture by seeking and giving feedback, supporting colleagues as they navigate AI tools and workflows, and modeling curiosity and openness.