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