Manufacturing Data Governance Manager

2 weeks ago


Singapore GLOBALFOUNDRIES Full time

**About **GlobalFoundries**

**Introduction**:
As Manufacturing Data Governance Manager, you will be reporting to Digital Manufacturing Senior Director, and you will understand and meet the needs for data consumers by creating data as a product. You will be responsible for data quality, management, and ownership. You will standardize data definitions, models, and assess and i mprove the data quality. You will participate in GlobalFoundries data council.

**Your Job**:

- D efine and align clear priorities, goals, and objectives on data strategies and initiatives to support Digital Manufacturing transformation initiatives.
- Demonstrates functional knowledge of advanced data -base features and concepts ( e.g, performance tuning ) and use s them effectively.
- Leads problem solving with teams on any database platform and delivers robust recomm endations for how to effectively store, secure and manage data.
- Leads problem solving with teams to recommend overall sizing of infras tructure for data and analytics platforms.
- Ensure data engineering codebase is well structured, documented and optimized as part of an efficient data pipeline. s
- Independently delivers data products leveraging ETL concepts.
- Inde pendently engages with team on in frastructure needs and has thoughtful recommendations for common data problems (e.g., low memory).
- Define data governance policies, standards, and best practices for mana ging manufacturing data across the organization.
- Collaborate with cross-functional teams to identify data requirements, sources, and ensure data qualit y, integrity, and security throughout the data life cycle.
- Design and implement data architectures and solutions to enable data-driven decision making and analytics in digital manufacturing transformation journey.
- Oversee the development and maintenance of data pipelines, data models, and data integration processes to support data analytics and insights generation.
- 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 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
- P roven 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.

G lobal F oundries 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.



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