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About the role
- Director of AI Solution Consulting leading AI solution pre-sales and consulting at health-tech Evinova in China. Working with clients to develop AI-enabled solutions for pharmaceutical and biotech industries.
Responsibilities
- Lead AI solution consulting and pre-sales activities for strategic opportunities across the China market.
- Partner with commercial teams to shape opportunities, qualify customer needs, and develop compelling AI solution strategies and proposals.
- Act as a trusted advisor to customers, translating business challenges in clinical development into practical AI-enabled solutions.
- Lead customer discovery sessions, solution workshops, executive presentations, and technical discussions.
- Lead the preparation and delivery of compelling product demonstrations tailored to clients' specific needs, effectively showcasing the benefits and features of Evinova AI solutions.
- Manage the creation and upkeep of demo environments to ensure they are up-to-date and aligned with client needs.
- Design end-to-end AI solution concepts, covering use cases, data and workflow requirements, model approach, integration, deployment, and governance considerations.
- Provide subject matter expertise in modern AI technologies, including LLMs, ML, prompt engineering, RAG, agentic workflows, model evaluation, and AI engineering.
- Partner with product management and engineering teams to ensure smooth product releases and alignment with client expectations and requirements.
- Work closely with product, engineering, AI/data science, delivery, and compliance teams to ensure solutions are feasible, scalable, and aligned with platform strategy.
- Support development of proposals, statements of work, business cases, and executive-level presentation materials.
- Advise customers on enterprise AI adoption and transformation, including readiness, prioritisation, deployment options, responsible AI, and risk management.
- Stay current on market trends, competitive developments, and emerging AI innovation to strengthen Evinova’s positioning in China.
- Represent the company at industry events and conferences, engaging with potential clients and collaborators to promote Evinova AI solutions.
Requirements
- Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, Engineering, Bioinformatics, Life Sciences, or a related field; advanced degree preferred.
- 8+ years of relevant experience in AI technology, solution consulting, pre-sales, enterprise architecture, or digital transformation.
- Strong technical depth in LLMs, ML, transformer architecture, model training/fine-tuning, agentic AI engineering, solution architecture, and enterprise AI deployment.
- Proven experience in AI solution pre-sales, consulting and solution design, with a strong track record of customer-facing engagement.
- Ability to translate complex technical concepts into clear business value for senior business and technical stakeholders.
- Good understanding of clinical development workflows, trial operations, and digital clinical systems is highly desirable.
- Strong executive presence and ability to work effectively across a local and global matrix organisation.
- Strong consulting, problem-solving, and structured communication skills.
- Well-developed senior stakeholder management skill with proven problem-solving, collaboration and interpersonal leadership skills.
- Excellent written and verbal communication skills, with the ability to deal with ambiguity and create clarity.
- Fluent English and Mandarin, both of which must be usable as working languages.
- Willingness and ability to travel up to 30%, including both domestic and international travels.
- AI-first Mentality, result-driven and ’Can-do’ attitude.
- Experience in life sciences, pharmaceutical R&D, clinical research, healthcare technology, or other regulated industries is strongly preferred.
- Deep knowledge of ICH E6 R3 Good Clinical Practice, FDA 21 CFR part 11, EU GDPR, EU AI Act and China Generative AI Measures is highly preferred.
- Hands-on experience implementing or governing CDISC standards (CDASH, SDTM, ADaM) and USDM (Unified Study Definitions Model) in clinical data management or regulatory submission workflows is highly preferred.
- MBA is preferred coupled with prior experience implementing leading life sciences software products.
Benefits
- Health insurance
- Retirement plans
- Paid time off
- Flexible work arrangements
- Professional development
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Location requirements
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