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GlobalFoundries

Data Stewards, Digital manufacturing

Reposted 2 Days Ago
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In-Office
Singapore
Senior level
In-Office
Singapore
Senior level
As a Data Steward, you will oversee data quality, management, and ownership, translating business strategies into actionable data management strategies while collaborating with stakeholders and managing new data initiatives.
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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 Data Steward, you will be reporting to Manufacturing Data Domain Manager, and you will assist to understand and meet the needs of data consumers by creating data as a product. Your role is to support Manufacturing Data Domain Manager for responsibility of the data quality, management, and ownership You initiate to standardize data definitions, models, and assess and improve the data quality. You will participate in GlobalFoundries data council. 

 

 Your Job:

  • Partnered with Solution Architect to understand the business needs, strategic objectives, processes, and how data and analytics are used within domain. 

  • Translates business strategies into actionable business-oriented data management strategies for the assigned domain. 

  • Operationalizes data strategy with domain, including identifying data needs, ensuring implementation of data standards, ensuring due data access. 

  • Defines and executes standards for data within assigned domain (e.g., define data quality rules, create data quality remediation plans) 

  • Manages new data initiatives and related projects by defining high-level business cases, providing requirements, and tracking and prioritizing data projects within domain. 

  • Manages access and provisioning by defining access permission plan, monitoring distribution of data from domain, approving data provisioning to authorized users, supporting data users as a subject matter expert of data in domain; negotiating Data Service Agreements, and ensuring data access and provisioning comply with client standards and controls. 

  • Serves as master and go-to-person for data policies and standards within their domain. 

  • Determines official sources of data in scope. 

  • Defines/validates business definitions for data elements. 

  • Reviews data lineage and technical metadata for data elements 

  • Identifies needs for changes in metadata within domain. 

  • Implements changes to business definitions. 

  • Identifies candidates for critical data elements (CDE) and prioritizes CDEs using criteria established by enterprise data management. 

  • Defines business rules for data within domain. 

  • Prioritizes data quality issues to remediate. 

  • Reviews, approves, and oversees data quality remediation plans.  

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 quantitative discipline, computer engineering, computer science, Information Technology, or a related field 

  • A minimum of 5 years of experience in data governance related roles. 

  • A minimum of 3 years in a management role with strong leadership skills. 

  • Ability to translate business requirements into technical requirements. 

  • Experience in performance metrics. 

  • Foundational knowledge in data architecture and data engineering, good understanding of data sources, transformation rules, and uses of the data for the area of stewardship. 

  • Strong project management skills 

  • Demonstrated ability to efficiently learn new business domains and problems. 

  • Strong interpersonal and communication skills, ability to influence others and form deep relationships with business and technical colleagues. 

  • Attention to detail and have a “can do” attitude; not afraid of “roll up the sleeves”. 

  • Focuses on agile delivery with a “fail-fast, succeed early” mindset and measurable outcomes. 

 

Preferred Qualifications:  

  • Advanced degree in quantitative discipline, computer engineering, computer science, Information Technology or equivalent 

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.  

Information about our benefits you can find here: https://gf.com/about-us/careers/opportunities-asia

 

Top Skills

Data Architecture
Data Engineering
Data Governance
Data Management

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