Asia Data Expert for Central Solutions at GSK
Singapore 139234, , Singapore -
Full Time


Start Date

Immediate

Expiry Date

05 Dec, 25

Salary

0.0

Posted On

05 Sep, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Communication Skills, Life Sciences, Security, Healthcare Industry, Lean Six Sigma, Change Management, Power Bi, Powerapps, Teams, Data Governance, Design Thinking

Industry

Information Technology/IT

Description

Site Name: Singapore - Rochester Park, China - Beijing, China - Shanghai - Shanghai, Japan - Tokyo - Akasaka
Posted Date: Sep 4 2025

POSITION SUMMARY

This role offers a unique opportunity to represent Asia data on global programs. The position will elevate the voice of Asia in R&D on data-related and innovation topics. Collaboration is key, as you will work with cross-functional teams centrally and regionally to ensure data solutions align with business needs. The initial focus will be on Japan and China. Ideal candidates are proactive, detail-oriented, visionary, and passionate about leveraging data solutions to make a meaningful impact.

BASIC QUALIFICATIONS:

  • Bachelor’s degree in Life Sciences, Medical, Pharmacy, or a related field.
  • Experience in the pharmaceutical or healthcare industry.
  • Minimum 5 years of experience in data management or a related role.
  • Strong understanding of data governance, security, and compliance in a regulated environment.
  • Proven ability to manage complex projects and collaborate across teams.
  • Strong written and verbal communication skills in a multicultural environment.
  • Experience in Product Model and Agile mindset.

PREFERRED QUALIFICATIONS:

  • Master’s degree in a relevant field.
  • Knowledge of advanced techniques, including AI/ML.
  • Hands-on experience with citizen technology tools (e.g., Power BI, PowerApps).
  • Certification in Lean Six Sigma, change management, project management methodologies, or design thinking.

How To Apply:

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Responsibilities
  • Influence the design and delivery of data solutions to improve decision-making and operational efficiency.
  • Collaborate with internal teams to identify innovative opportunities.
  • Ensure compliance with data governance and security standards.
  • Monitor and report on the performance of data solutions, driving continuous improvement.
  • Identify opportunities to leverage advanced technology, including AI/ML, to enhance capabilities.
  • Build and maintain strong relationships with stakeholders to understand business needs and deliver impactful data solutions.
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