Manufacturing Data Governance Manager

GLOBALFOUNDRIES SINGAPORE PTE. LTD.; Singapore; On-site; SGD 90,000 - 120,000; Full time

Job summary

A leading semiconductor foundry in Singapore is seeking a Manufacturing Data Governance Manager. The role involves developing and implementing governance policies for manufacturing data, requiring at least 6 years of experience in data management within an industrial environment. Strong leadership and communication skills are essential, along with expertise in data governance principles and tools. This position offers an opportunity to significantly impact data operations and innovation within the company.

Qualifications

• 6+ years of experience in computer engineering or data science.
• Proven record of leading teams in manufacturing.
• Experience with data security standards.

Responsibilities

• Identify Fab data champions and develop data councils.
• Define data quality KPIs and thresholds.
• Guide data scientists to ensure data quality.

Skills

Leadership

Data governance

Communication

Stakeholder management

Data quality management

Data analytics

Education

Bachelor's degree in computer engineering or related field

Master’s degree in computer engineering or related field

Tools

Data analytics tools

Job description

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 Manufacturing Data Governance Manager, you will be reporting to Digital Manufacturing Senior Director. You will be responsible for developing and implementing stewardship and governance policies in 4 key areas 1. manufacturing data catalog and lineage. 2. data quality measures and improvement roadmap. 3. domain-specific data councils and retention policy. 4. Business processes with IT, Fab users, data councils and Digital manufacturing team. You will participate in GlobalFoundries data council.

Your Job

• Identify Fab data champions, form domain-specific data councils, develop inventory of Critical Data Elements(CDE)
• Develop manufacturing data catalog and data lineage (from source to report)
• Define and develop data quality KPIs and thresholds
• Establish data quality issue escalation and remediation plans
• Translate GF enterprise-wide data retention / custody policies to manufacturing data domain specific retention / classification rules, considering both compliance and value capture optimization from deploying AI/ML/Gen-AI use cases
• Guide data scientists and use case teams to identify data requirements, sources, and ensure data quality, integrity, and security throughout the data life cycle.
• Draft initial data architectures and solutions to enable use case deployment and scaling
• Partner with GFIT and other stakeholders across multiple sites to optimize data architecture, infrastructure, and platforms for manufacturing data management and analysis.
• Provide leadership, coaching and mentoring to the manufacturing data steward and governance team fostering a culture of ownership, collaboration, innovation and embracing growth mindset for continuous improvement.
• Stay updated on emerging trends and advancement in data management and digital manufacturing technologies to evaluate their business value for potential use cases.

Other Responsibilities

• Perform all activities in a safe and responsible manner and support all Environmental, Health, Safety & Security requirements, and programs.
• Support diversity, equity, inclusion, belonging (DEIB) and our company’s ESG vision and goals

Required Qualifications

• Bachelor's degree in computer engineering, computer science, Information Technology, or a related field
• A minimum of 6 years of experience in computer engineering, data science, or related roles, with a focus on digital manufacturing applications.
• Proven track record of leading teams within manufacturing domain
• Proven track record in data management in a manufacturing or industrial environment.
• Proficiency in data governance principles, data quality management, and data integration techniques.
• Experience with data analytics tools and platforms for extracting insights from manufacturing data.
• Knowledge of data security standards and regulatory requirements related to manufacturing data.
• Excellent leadership, communication, and stakeholders’ management skills.

Preferred Qualifications

• Master’s degree in computer 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.