Supply Chain Digital and Data Analytics Specialist

Your Role
This role is vital in accelerating our Life Science’s supply chain transformation efforts, from piloting deeper optimization scenarios to enabling global rollouts of proven pilots and supporting digital initiatives like Supply Chain Control Tower. Through proactive engagement with cross-functional teams and global distribution networks, your contributions will drive a more competitive, resilient, and future-proof E2E supply chain.
What You Do
Drive and support a range of strategic digital and data analytics supply chain (SC) projects, with a focus on the Asia-Pacific (APAC) region and significant global outreach.
Take ownership of designing, implementing, and optimizing key pilot projects, managing cross-functional teams, and ensuring that regional solutions are scalable globally.
Leverage expertise in data analytics (including AI/ML), supply chain management tools, and coding (i.e., Python, Palantir Foundry), to build future-ready solutions that deliver efficiencies and capabilities across our Life Science‘s End-to-End (E2E) supply chain.
Project Management & Execution: Lead optimization pilots, ensuring project timelines, deliverables, and stakeholder expectations are met.
Analytics & Optimization: Use technical skills (data analytics, coding, and modeling) to tackle complex supply chain challenges; develop data-driven solutions to optimize and refine our Life Science supply chain metrics processes.
Global Coordination: Collaborate closely with regional and global teams to ensure local/ regional solutions can scale globally, aligning APAC developments with the broader company strategy.
Stakeholder Engagement: Partner with internal teams (e.g., Distribution, Commercial and DDIT Data, Digital) to define technical requirements, identify process improvements, and steer change effectively.
Reporting & Communication: Provide regular updates to senior leadership and relevant stakeholders on project status, impact, and requirements.
Who You Are
Bachelor’s or master’s degree in supply chain management, Data Analytics, Engineering, or a related field.
3 – 5 years of relevant experience in Digital and Data Analytics; Candidates with past Supply Chain, Operations, or Manufacturing related experience preferred.
Proficiency in coding (e.g., Python) and advanced analytics, with experience in Palantir Foundry or similar platforms preferred.
Familiarity with cloud platforms and scalable data architectures
Proven success working cross-functionally, influencing diverse teams, and delivering on complex, global projects.
Strong problem-solving approach and effective communication skills to engage stakeholders at multiple levels.
What we offer
We are curious minds that come from a broad range of backgrounds, perspectives, and life experiences. We believe that this variety drives excellence and innovation, strengthening our ability to lead in science and technology. We are committed to creating access and opportunities for all to develop and grow at your own pace. Join us in building a culture of inclusion and belonging that impacts millions and empowers everyone to work their magic and champion human progress
Apply now and become a part of a team that is dedicated to Sparking Discovery and Elevating Humanity
US Equal Employment Opportunities
The Company is an Equal Employment Opportunity employer. No employee or applicant for employment will be discriminated against on the basis of race, color, religion, age, sex, sexual orientation, national origin, ancestry, disability, military or veteran status, genetic information, gender identity, transgender status, marital status, or any other classification protected by applicable federal, state, or local law. This policy of Equal Employment Opportunity applies to all policies and programs relating to recruitment and hiring, promotion, compensation, benefits, discipline, termination, and all other terms and conditions of employment. Any applicant or employee who believes they have been discriminated against by the Company or anyone acting on behalf of the Company must report any concerns to their Human Resources Business Partner, Legal, or Compliance immediately. The Company will not retaliate against any individual because they made a good faith report of discrimination.
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