Senior Manager, AI Initiatives

• AI portfolio leadership
• Own PxD’s AI strategy and roadmap across programs, including prioritization, sequencing, and success metrics
• Act as a technical expert within the research function, overseeing multiple complex projects with rigor, ensuring adherence to timelines, budgets, and organizational policies
• Evidence, experimentation, and learning agenda
• Lead PxD’s AI learning agenda: work with internal teams and external experts to develop priority questions, define measurement criteria (quality, trust, uptake, equity) across services
• Provide technical guidance to teams on evidence-based approaches, engaging internal and external experts to maintain high standards of rigor
• interpret and contextualize internal and external evidence to inform PxD programs, strategy, and AI priorities
• Design and oversee learning and evaluation approaches for AI-enabled services (rapid user testing, experiments, A/B tests, and randomized rollouts where feasible, and pragmatic alternatives when not)
• Implementation
• Lead cross-functional planning to take AI initiatives from concept to pilot to scale: requirements, workflows, QA, training, monitoring, and iteration cycles
• Support partner conversations on responsible adoption, measurement, and evidence standards
• align on shared learning agendas where appropriate
• Provide mentorship, guidance, and technical support to Associate- and Manager-level staff, fostering professional growth and capacity building
• Promote a collaborative, learning-focused team culture with strong documentation, continuous improvement, and high standards of rigor
• Stakeholder management
• Engage funders and partners to shape new opportunities: contribute to concept notes, proposal development, budgets, and learning plans
• Provide clear, timely updates to funders and partners on active proposals and ongoing awards, including progress against work plans and key risks
• Contribute to funding proposals, project reports, and other organizational deliverables
• Contribute to internal and external communications, including briefs, blogs, reports, and presentations to disseminate findings

• Degree in Economics, Data Science, Statistics, or related field, preferred
• Strong evidence orientation with demonstrated experience designing and/or managing experimentation or evaluation approaches (e.g., rapid user testing, A/B tests, RCTs)
• Comfort with AI/GenAI concepts and technical teams sufficient to scope work, evaluate partner claims, and set program strategy and oversee implementation
• Ability to translate complex technical concepts for non-technical stakeholders
• Track record of managing cross-functional projects and working with technical teams
• Strong partner management experience, ideally including government partners and/or multi-organization collaborations
• Strong problem-solving, communication, and strategic thinking skills

flexible working