Manager, AI Strategy – Adoption

Job not on LinkedIn

🕒 April 15

🏛️ District of Columbia, Washington – Remote

🏛️ District of Columbia – Remote ☕ Washington – Remote

💵 $83.9k - $94k / year

⏳ Contract/Temporary

🟡 Mid-level

🟠 Senior

🤖 Artificial Intelligence

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Evidence Action

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2013

🤲 Charity

⚕️ Healthcare Insurance

🤝 Non-profit

💰 $120k Seed Round on 2017-03

Charity • Healthcare Insurance • Non-profit

Evidence Action is a non-profit organization that scales low-cost health interventions to improve the well-being of millions of people, primarily in Africa and Asia. Their work focuses on child and adolescent health, clean water, maternal and newborn health, neglected tropical diseases, nutrition, and programs to empower women and girls. Evidence Action's data-driven, evidence-based solutions target urgent health needs and provide transformative impact on global poverty. They implement proven interventions such as deworming, vitamin access, safe water initiatives, and syphilis screenings. Evidence Action is recognized for its transparency and high-impact charitable activities.

📋 Description

• 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.

🎯 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 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. • 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.

🏖️ Benefits

• international health care • HSA/FSA options • life insurance • disability coverage • retirement plans with a matching component • generous and flexible leave options • other employee perks on a reimbursement basis