University degree in Computer Science, Engineering, Data Science, or a related technical field (or equivalent practical experience) preferred
3+ years of professional experience, including hands-on experience in a technical or closely related role (e.g., software engineering, data science, data engineering, product engineering, technical program management, or similar), ideally in a technology-led or innovation-driven environment
Interest in or experience with capability building, learning design, or knowledge sharing, demonstrated through prior experience (e.g., onboarding, documentation, internal training, mentoring, or similar)
Demonstrated Technical Credibility: Practical experience contributing to, building, or deploying technical solutions; ability to engage effectively with engineers, data scientists, and product teams on tools, workflows, and AI-enabled practices
End-to-End Ownership and Delivery Mindset: Proven ability to independently scope, manage, and deliver projects from problem definition through execution and measurable outcomes; comfortable operating with ambiguity and accountability
Strong Problem Solving and Structured Thinking: Ability to break down complex problems, synthesize inputs, and translate technical needs into clear, actionable solutions
Strong Organizational and Execution Skills: Ability to manage multiple workstreams, prioritize effectively, and deliver high-quality outputs in a fast-paced environment
Exposure to frontier technology domains preferred, such as Gen AI, agentic systems, cloud platforms, or modern data and engineering ecosystems
Effective Communication and Translation Skills: Ability to bridge technical and non-technical audiences, distill complex concepts into practical learning interventions, and communicate clearly with a range of stakeholders
