Key Responsibilities

1. Strategic Planning and Implementation

• Partner with curriculum specialists to co-develop AI/EdTech initiatives that are pedagogically grounded and learner-centric.
• Translate learning goals into clear product requirements while balancing feasibility, scalability, and resource considerations.
• Develop a standardized evaluation framework to assess initiatives across both pedagogical and technical dimensions.
• Establish clear processes for procurement, development, piloting, and implementation of AI enhanced learning tools.

2. Technology Partnership and Product Management

• Act as the key product liaison between MTLB, DXD, vendors, and other internal and external stakeholders.
• Coordinate with technical experts to align system architecture, AI models, integration, and compliance requirements with educational goals.
• Shape product direction by contributing strategic input and ensuring alignment across technical, pedagogical, and user needs.
• Translate product and curriculum requirements into clear technical specifications to inform procurement and vendor deliverables.

3. Project and Resource Management

• Oversee project execution, including milestone planning, timelines, budgeting, and risk mitigation.
• Manage procurement and contract administration for AI/EdTech initiatives in collaboration with MOE stakeholders.
• Coordinate day-to-day delivery across internal teams and vendors to ensure timely, high quality implementation of AI solutions in schools.

4. Evaluation and Scaling

• Support the planning, execution, and analysis of pilot initiatives.
• Develop robust evaluation frameworks to assess impact and guide decisions on scaling.
• Synthesise feedback into actionable insights that strengthen future deployments.

5. Stakeholder Engagement and Change Leadership

• Facilitate effective communication between curriculum teams, product and technical teams, and external partners.
• Present updates and recommendations to senior management.
• Manage expectations, align stakeholders, and lead change management efforts to support smooth adoption of new tools.

Job Expectations

• User-Centric Focus: Design AI solutions that address educators’ needs and improve both teaching effectiveness and student learning.
• Strategic Thinking: Develop clear, scalable adoption strategies that align with MOE’s educational goals.
• Product and Technical Fluency: Demonstrate strong product leadership with an appreciation for AI/ML technologies and their practical application in education.
• Collaboration and Communication: Build strong partnerships across MOE and external stakeholders, and communicate clearly across technical and educational domains.
• Data-Informed Approach: Leverage analytics and pilot results to refine strategies and scale effective solutions.
• Project Management: Drive efficient, high-quality execution of multiple AI initiatives in alignment with curriculum priorities.

Required Qualifications and Experience

• Bachelor’s degree in Computer Science, Information Systems, Data Science, Education 
• Technology, or a related field; Master’s degree preferred.
• At least 5 years of experience in product management, preferably involving AI/ML solutions or EdTech platforms.
• Proven track record of designing, developing, and implementing digital products at scale.
• Experience working in cross-functional teams with designers, engineers, curriculum specialists, and external vendors.
• Strong understanding of AI/ML technologies and their applications in education, including ethics, compliance, and data privacy considerations.
• Skilled in agile methodologies, product lifecycle management, and iterative pilot-to-scale implementation.
• Excellent communication, stakeholder engagement, and influence skills.
• • Passion for public good, with a strong interest in education and language learning innovation