Job Description
Senior Specialist, Data & Infrastructure Lead
- Based in Singapore, the regional hub for Asia Pacific (AP) and top-ranked biopharmaceutical company on The Straits Times and Statista’s list of Best Employers in Singapore for four consecutive years (2020, 2021, 2022, 2023) as well asGreat Place to Work-Certified™ company.
- Join thepremier biopharmaceutical companythat has been in Singapore for more than25 years.
Responsibilities
- Develop, support, and manage Data & Analytics and other digitalization solutions.
- Support Site IT operations to ensure 100% availability of IT and network infrastructure.
- Collaborate with other Digital teams (Foundational & Digital Services) and Technology Infrastructure, Operations, & Experience (TIO&E) teams to effectively manage site IT changes and incidents.
- Innovate new solutions and business models, applying technical knowledge and experience to develop, deploy, and support IT-OT systems for a large pharmaceutical manufacturing company.
- Foster collaboration with divisional data & analytics leads and D&A engineers from network sites to share and implement best practices.
- Partner with the divisional Data Science team to develop and implement GenAI, machine learning solutions, etc., for manufacturing processes.
- Coordinate with global Leads, Program Managers, and Business stakeholders to plan, estimate, and deliverdigital/transformationalinitiatives efficiently and effectively, ensuring program execution aligns with organizational goals.
- Develop, review, and approve technical documents for assigned programs/projects, including design documents, User Acceptance Test executions, change controls, risk assessments, and release notes.
- Ensure compliance with industry standards and regulatory requirements, maintaining the highest levels of data security and integrity.
- Lead the evaluation and integration of new technologies and tools to enhance data analytics capabilities and drive innovation within the organization.
Qualifications Required
- Bachelor’s or master’s in computer science, Engineering, Data Science, or equivalent degree.
- 3 – 4 years of experience in data analysis and IT operations.
- Passionate about working with new technologies.
- Strong analytical, problem-solving, and decision-making skills.
- Some experience in IT operations and systems (SAP, MES, LIMS), shop floor automation systems, and manufacturing.
- Written and verbal communication skills, including the ability to communicate with business and technical teams.
- Ability to work independently and effectively as part of a team across global hubs, maintaining a highly collaborative and transparent effort.
Preferred
- Experience in IT/Automation projects and operation management.
- Familiarity with advanced/emerging technology trends such as SMACIT (Social, Mobile, Analytics, Cloud, and Internet of Things), AR/VR, Blockchain, and Data Science.
- Experience with SCADA/Data Acquisition systems.
- Strong experience in SQL and data visualization tools like PowerBI, Tableau, and Spotfire.
- Knowledge of IT-OT convergence.
- Programming experience in Python/R.
- Familiarity with Big Data Engineering and ETL.
- Experience working in a large global matrix organization.
- Working experience/knowledge in a manufacturing environment.
Current Contingent Workers apply
Not Applicable
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