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EMD Group · Life sciences

Enablement Lead - Data & AI Solution Enablement

EMD Group Shanghai, CN Posted Aug 20, 2026
Location
Shanghai, CN
Workplace
On-site / per employer
Posted
Aug 20, 2026

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

Originally posted by EMD Group. View original posting