Data Analyst, Digital Manufacturing

2 weeks ago

Singapore GLOBALFOUNDRIES SINGAPORE PTE. LTD. Full time
Roles & Responsibilities

About GlobalFoundries

GlobalFoundries is a leading full-service semiconductor foundry providing a unique combination of design, development, and fabrication services to some of the world's most inspired technology companies. With a global manufacturing footprint spanning three continents, GlobalFoundries makes possible the technologies and systems that transform industries and give customers the power to shape their markets. For more information, visit www.gf.com.

Introduction:

As a Digital Manufacturing Data Analyst, you will support in the definition and alignment of digital aspirations among Fab leadership. In this role you will support in the collaboration, consolidation, refinement, and refreshment of Butterfly portfolio of use cases (source: bottom-up, outside in). You will report to the Digital Strategy Snr Manager and develop the strategies in setting up the approaches (ideation, prioritization, PoC, Scale-up readiness, Scaling and sustain) and operationalize.

Your Job

  • Translate high-level strategic goals and objectives into actionable use cases for digital manufacturing initiatives.
  • Collaborate among cross-functional teams to ensure alignment between strategic goals and operational deliverables through implementation of Digital manufacturing projects.
  • Work with technology partnership group, Fab engineers, data scientists, and specialists to understand and translate technical concepts into potential use cases across the Fabs.
  • Develop business cases, financial models, and return on investment (ROI) analysis to evaluate potential investments in digital manufacturing initiatives.
  • Conduct technological research and analysis to get updated on the emerging technologies and market trends for potential use cases.
  • Support in the strategic analysis to develop, refine, and refresh Butterfly portfolio of use cases.
  • Prepare presentations, reports, and other material to communicate findings and recommendations to Strategy Manager, Fab Leadership, and stakeholders.
  • Provide analytical support and conduct ad-hoc analysis as needed to support strategic decision-making.
  • Provide support to the Strategy Manager in evaluating potential uses cases in the digital manufacturing space.

Other Responsibilities:

  • Perform all activities in a safe and responsible manner and support all Environmental, Health, Safety & Security requirements and programs

Required Qualifications:

  • Bachelor's degree in engineering, computer science, Information Technology, or a related field;
  • 1 to 2 years of experience in project management with a focus on digital manufacturing applications.
  • Strong understanding of digital manufacturing technologies including AI, ML, IoT, Robotics, Autonomous Systems, and Automations.
  • Demonstrated ability to manage cross-functional teams and stakeholders.
  • Excellent leadership, communication, and stakeholders' management skills.
  • Proficiency in project management tools, methodologies, engineering principles related to AI, ML, IoT, Robotics, Autonomous Systems, and Automations.
  • Ability to work independently and as part of team.

Preferred Qualifications:

  • Master's degree in engineering, computer science, Information Technology or equivalent.
  • Certification in Project Management or equivalent certification.

GlobalFoundries is an equal opportunity employer, cultivating a diverse and inclusive workforce. We believe having a multicultural workplace enhances productivity, efficiency and innovation whilst our employees feel truly respected, valued and heard.

As an affirmative employer, all qualified applicants are considered for employment regardless of age, ethnicity, marital status, citizenship, race, religion, political affiliation, gender, sexual orientation and medical and/or physical abilities.

All offers of employment with GlobalFoundries are conditioned upon the successful completion of background checks, medical screenings as applicable and subject to the respective local laws and regulations.

Tell employers what skills you have

Machine Learning
Management Skills
Data Transformation
Artificial Intelligence
Digital Strategy
Python
Automation
language models
Power BI
Manufacturing

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