Specialist Data Science & AI
About this opportunity
Drive the adoption of Agentic and AI capabilities across site and global TechOps processes by building AI fluency, delivering scalable no‑code/low‑code solutions, and embedding AI‑enabled ways of working that generate measurable productivity and efficiency gains.
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 PROFILEApplied Business Insights, Digital & Technology Savvy, Organizational Savvy, Joint Value Creation, Stakeholder Engagement, Managing Change, Vision & Purpose (Strategy to Story), Interpersonal Savvy.EDUCATION & QUALIFICATION REQUIREMENTSHands 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 ActionWe 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
Job details
How this role compares
Computed from every other active Data & Digital role in our database, not just this employer's listings.
We currently track 292 comparable Data & Digital roles across 41 biopharma companies.
Salary context
60 of 292 peers report a salary range (USD, annualized)
Peers share this role's job function. This posting doesn't list a seniority level, so peers aren't narrowed by seniority either -- the range below may span more levels than usual.
Where these roles are based
Top locations among the 292 comparable roles
+ 14 more countries
Seniority mix
158 of 292 peers have a known seniority level
Therapeutic area mix
6 of 292 peers have a known therapeutic area; the rest are genuinely unlabeled, not hidden
Similar opportunities
The closest matches from our peer group, ranked by how similar they are, not how well you'd qualify for them -- treat this as market context, not a guaranteed shortlist; a weak match is labeled as one below.
Matched on job function only -- seniority, specialty, and location weren't confirmed as aligned.
Matched on job function only -- seniority, specialty, and location weren't confirmed as aligned.
Matched on job function only -- seniority, specialty, and location weren't confirmed as aligned.
How we calculate "similar"
No black box, no LLM guesswork: a deterministic score built from four normalized attributes. Here's this role's own peer group at different match levels, so you can see the mechanism, not just the result.
Every comparison starts from the same 100-point budget: 25 for working in the same function, 40 for the same therapeutic area, 20 for the same or adjacent seniority, 15 for the same country. A dimension we can't confirm on both sides contributes nothing, never a guess, never a free pass.
0 points, never a partial guess. A role we know almost nothing about beyond its function bottoms out at 25%; it never inflates to 100% just because there's little to compare against. Seniority uses a defined ladder (Associate → Manager → Associate Director → Senior → Principal → Director → Senior Director → Executive/VP) so "Director" and "Senior Director" count as adjacent, but "Director" and "Executive/VP" do not.