Data Science & AI Specialist

Major accountabilities:

• Drive end to end adoption of Agentic & AI capabilities across site and global Processes, embedding AI enabled ways of working into daily operations to deliver measurable productivity gains.
• Build AI fluency across IT/OT and business teams, establish and lead Agentic/AI champions, and enable hands on development of no code / low code agentic solutions.
• Lead bottom up use case identification, prioritize high value opportunities with site leadership, and oversee delivery, scaling, and sustained adoption of Agentic & AI solutions.
• Drive adoption of globally available Agentic & AI platforms, while continuously feeding site requirements, gaps, and enhancement opportunities into global product backlogs.
• Establish clear governance, benefits tracking, and reporting, including productivity and FTE impact, and maintain a forward looking multi year Agentic & AI roadmap.
• Partner with Global DDIT Ops and DSAI teams to ensure data, platform, integration, and security readiness, and to enable data self service capabilities for sites.
• Lead change management and cultural adoption, ensuring employees embrace AI as an augmentation tool and actively use Agentic & AI solutions in their daily work.

Key performance indicators:

• ≥80% of target staff completed AI training and actively use at least one agentic solution in daily work.
• ≥80% of prioritized Agentic & AI use cases delivered using no‑code / low‑code tools.· ≥3 high‑value AI/agentic use cases per site live and contributing to measured productivity or FTE impact.
• >50% of employees regularly using AI / agentic tools for day‑to‑day tasks.
• Productivity / FTE impact reported quarterly, reviewed with SLT, and tracked against roadmap.
• All critical systems and data sources identified and enabled for priority AI use cases.· Site feedback (requirements, gaps, connectors) visible in global AI backlogs and releases.

COMPETENCY PROFILE

• Applied Business Insights, Digital & Technology Savvy, Organizational Savvy, Joint Value Creation, Stakeholder Engagement, Managing Change, Vision & Purpose (Strategy to Story), Interpersonal Savvy.

EDUCATION & QUALIFICATION REQUIREMENTS

• Hands on experience with Microsoft Copilot (M365 Copilot, Copilot Studio) and enterprise AI assistants.
• Proven ability to build agentic solutions using no code / low code platforms (e.g. Power Platform, Copilot Studio), including prompts, workflows, and basic integrations.
• Best to have: Hands on experience building and supporting automations using Microsoft Power Automate (cloud flows, approvals, connectors, error handling).
• Best to have: Python experience for scripting/automation and data handling (e.g., APIs, JSON, basic data cleaning and preprocessing).·
• Practical understanding of agent orchestration, reusable patterns, and scaling agents in operational environments.·
• Data fundamentals: ability to consume, combine, and interpret data from enterprise systems (e.g. MES, ERP, LIMS); basic understanding of data quality, access, and governance.·
• Basic data science & analytics skills, including KPI definition, descriptive analysis, and interpretation of AI outputs.

Language:

• English, Chinese

Behaviors in Action

• We create positive change for patients 积极创变，造福患者
• We explore to improve 勇于探索，精益求精
• We take smart risks and learn 智担风险，上下求索
• We make each other extraordinary 成就彼此，共创非凡
• We hold ourselves and others accountable 各司其职，同舟共济