Manager, AI Strategy & Adoption

Evidence Action • Washington, DC

21h • Remote

About The Position

Sitting within the Strategic Initiatives team and reporting to the Chief of Staff, you will be Evidence Action's go-to on AI strategy: on where the opportunities are, what’s working now, what the risks look like, on how we can put AI to work effectively across our programs and operations, and in how we represent Evidence Action's AI work in the broader field. They will own our global AI roadmap, managing our relationship with Anthropic, enabling our high impact pilots and use cases, and co-leading AI innovation alongside champions across all regions of our organization while serving as the central hub connecting their work.

This is not a primarily technical role. Success here means building the systems, relationships, and capabilities that enable 900+ staff across the organization to leverage AI in their work and ensuring that our significant AI investment generates measurable returns. We’re looking for someone who can bring structure across complex initiatives, communicate effectively across teams located in the US, India, and Africa, has a curiosity and growing skillset in AI, and the ability to collaborate with and influence senior leaders.

This is a one-year fixed-term role, with a genuine opportunity to shape what comes next: as AI at Evidence Action matures, so too will this role, and we hope to extend the term should the opportunity arise.

Requirements

• You have a Bachelor's degree in Business Administration, Economics, Public Policy, Global Health, International Development, Computer Science, Technology, or a related field.
• You have 3-5 years of professional experience in management consulting, internal consulting-type roles, special projects, chief of staff, or technology/product adoption roles.
• You’re analytical with the ability to synthesize ambiguous information, identify what matters most, and develop clear recommendations under uncertainty.
• You’re able to pick up new concepts and domains quickly (new technical areas, and organizational contexts, or emerging topics) and translate that understanding into action without waiting for perfect information.
• You anticipate needs before they are articulated: identifying risks, surfacing opportunities, and proposing next steps ahead of being asked.
• You build strong, trusted relationships across departments, levels, geographies and backgrounds with an ability to influence without formal authority.
• You have project management skills; proven ability to manage multiple complex workstreams simultaneously across diverse stakeholder groups.
• You’re passionate about Evidence Action's mission and have a commitment to applying AI in service of social impact.

Nice To Haves

• You bring experience working in international development or a global NGO, particularly in multi-country contexts.
• Your background contains change management, learning and development, or organizational transformation.
• You have hands-on familiarity with AI tools, particularly large language models
• You have a working knowledge of AI domains beyond LLMs, such as automation tools, predictive analytics, or workflow integrations.
• You bring enthusiasm for the potential of AI to improve how organizations operate and deliver impact, paired with thoughtfulness about the risks it introduces, including to data privacy, institutional trust, and staff wellbeing.

Responsibilities

• Manage Evidence Action's global AI roadmap, translating organizational strategy into a sequenced, actionable plan that evolves alongside the field and the organization's needs.
• Advise the Chief of Staff and executive leadership on AI adoption progress, organizational readiness, evolving tools, emerging risks, usage guidelines, and return on investment on a regular basis.
• Manage our relationship with Anthropic and other providers, coordinating on new features, deployment decisions, and enterprise-wide policy updates as they arise.
• Oversee our AI use case portfolio, collaborating with champions and functional leads to prioritize, sequence, and track pilots across all regions and functions.
• Manage external AI vendors and consultants, maintaining accountability for performance, and risk mitigation throughout each engagement.
• Drive AI adoption for US-based staff and functions, serving as the regional AI lead for the United States in coordination with team members in Africa and India.
• Facilitate cross-regional knowledge exchange across all geographies, ensuring that frameworks, tools, and lessons learned translate into contextually appropriate adoption wherever Evidence Action works.
• Establish and maintain dashboards that track pilot outcomes, usage patterns, and progress against AI-related OKRs across all regions and functions.
• Report regularly to the Chief of Staff and GLT members, surfacing trends, adoption barriers, and recommendations for resource reallocation or strategic adjustment.

Benefits

• For US based roles, Evidence Action provides comprehensive benefits including international health care, HSA/FSA options, life insurance, disability coverage, retirement plans with a matching component, generous and flexible leave options, as well as other employee perks on a reimbursement basis.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Number of Employees: 251-500 employees