Senior Manager – AI Initiatives

Responsibilities

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.

Skillset

• 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.