Enablement Lead - Data & AI Solution Enablement

About the role: We are looking for a Solution Enablement Lead who can both guide business teams and personally build. You will enable repeatable Data & AI solutions on our platform-and you will use modern AI tools hands-on to run PoCs and small-scale deliveries that prove value quickly.

Your role:

• Lead solution enablement for priority business domains: frame problems, shape solution patterns, and guide teams from idea to usable outcomes
• Hands-on delivery: design and build AI PoCs and small-scale solutions (e.g. prototypes, pilots, lightweight apps/workflows/agents) to validate feasibility and value
• Use contemporary AI tooling and platform capabilities directly (prompting, RAG-style knowledge use, agent/workflow configuration, API-based integration) to accelerate discovery and delivery
• Translate successful PoCs into reusable solution blueprints, playbooks, and reference implementations
• Partner with architects and engineers so PoCs follow platform standards and can scale into production paths when warranted Work with business owners on value cases, success metrics, and go / no-go after PoC
• Help teams choose the right path: quick PoC, configure-on-platform, or larger partner-led build
• Capture reusable assets (demos, templates, patterns) and feed common gaps into the platform backlog
• Mentor business/technical counterparts and working students on practical AI solution building

Who you are:

• Experience in solution consulting, solution delivery, or business-technology roles with personal hands-on build experience
• Demonstrated ability to ship AI PoCs or small solutions yourself-not only manage others who build
• Practical fluency with GenAI/AI application patterns (e.g. chat/RAG, workflow/agent automation, tool/API integration)
• Ability to move from ambiguous business needs to a working prototype in short cycles
• Strong stakeholder management across business, IT, and delivery partners
• Can explain solutions in business language and discuss implementation trade-offs with engineers
• English and Mandarin required;

Nice to have :

• Experience with enterprise AI platforms, low-code/no-code AI builders, or Python-based prototyping
• Background in analytics, automation, or digital solution delivery
• Consulting or domain-facing delivery experience in large enterprises
• Life sciences or regulated-industry exposure