Overview
The Product Manager will lead the rapid development and deployment of tailored AI solutions for World Bank Country and Regional teams, maximizing business value through effective product design, lifecycle management, and Agile delivery.
Key Responsibilities
- Engages proactively with Country and Regional teams to understand high‑impact potential, define goals, and shape demand for AI solutions that can be quickly deployed and replicated.
- Leads strategic relationships and discovery, identifying trends, use cases, and reusable patterns that inform potential solutions to be tested through rapid AI prototyping and iterative validation.
- Defines and communicates a clear, scalable product vision and roadmap that balances fast delivery of MVPs with the long‑term goal of reusable, cross‑country/regional AI Acceleration solutions.
- Provides leadership across the Agile Release Train, ensuring alignment, velocity, and coordination so that rapid development cycles translate into timely, high‑quality deliveries that can scale across contexts.
- Designs governance structures tailored for AI Acceleration delivery, ensuring responsible AI, compliance, and WBG standards are met without slowing down iteration and deployment.
- Facilitates continuous stakeholder communication, rapidly capturing feedback, identifying new opportunities, and evolving the product roadmap to maximize cross‑country reuse and operational impact.
- Oversees vendor and partner relationships, ensuring timely access to specialized skills and consistent delivery of components that support reusable AI Acceleration patterns.
- Evaluates and proposes strategic investments that accelerate AI product development, enable rapid replication, and ensure technical debt is managed without impeding speed or scalability.
- Monitors product-level financials, ensuring rapid delivery stays within budget and that investments support scalability to multiple countries and regions.
- Leads complex, cross‑functional initiatives, integrating contributions from data scientists, developers, solution architects, business stakeholders, and operational teams to drive rapid ideation, prototyping, and rollout.
- Identifies systemic challenges and cross-cutting AI opportunities, applying structured analysis to drive decisions that accelerate delivery and amplify reusability of RapidAI solutions across the WBG.
- Builds strong strategic partnerships across WBG units, representing the product in high‑level discussions and aligning rapid AI investments with organizational priorities and operational needs.
Required Experience
- Master’s degree with 8 years of experience or a bachelor's degree in STEM fields (Science, Technology, Engineering, Mathematics) with a minimum of 10 years of relevant experience, or equivalent combination of education and experience.
- Demonstrated expertise in Artificial Intelligence (AI), with strong understanding of modern AI capabilities, constraints, and responsible AI principles relevant to rapid development and multi‑country deployment.
- Strong passion for innovation and continuous learning, staying current with emerging AI technologies, delivery patterns, and industry trends that can accelerate rapid solution development and replication.
- Ability to learn quickly, adapt to shifting priorities, and operate effectively in a fast‑paced, iterative environment, supporting rapid experimentation and rollout across countries and regions.
- High degree of ownership and accountability, with proven ability to deliver results under tight timelines and manage multiple workstreams with strong personal organization.
- Exceptional ability to translate complex business objectives into clear AI product requirements, ensuring alignment with organizational needs and potential for reuse across diverse operational contexts.
- Ability to synthesize input from stakeholders, analyze business processes, and identify high‑value AI opportunities that can be rapidly prototyped and scaled.
- Proven experience collaborating across multidisciplinary teams, fostering inclusive teamwork, and building effective partnerships across organizational boundaries.
- Strong interpersonal, facilitation, and communication skills, including the ability to convey complex AI concepts in clear, accessible language to both technical and non‑technical audiences.
Qualifications
- Master’s degree or bachelor's degree in STEM fields (Science, Technology, Engineering, Mathematics).
- Preferred certifications: SAFe Agile Product Management, Design Thinking, and AI‑related certifications demonstrating advanced capability in user‑centered and iterative product development.
