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 as Great Place to Work-Certified™ company.
- Join the premier biopharmaceutical company that has been in Singapore for more than 25 years.
Join our company and be at the forefront of technological innovation in the pharmaceutical sector. We are seeking a Data & Analytics/Infrastructure Lead to develop, support, and manage data analytics, site IT infrastructure, and other digitalization solutions. This role offers a unique opportunity to drive impactful change and contribute to our organization's success.
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 deliver digital/transformational initiatives 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.
