Manager, Data Foundation at Johnson Johnson
North Ryde, New South Wales, Australia -
Full Time


Start Date

Immediate

Expiry Date

15 Nov, 25

Salary

0.0

Posted On

15 Aug, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Data Quality, English, Azure, Chinese, Databases, Machine Learning, Communication Skills, Aws, Data Governance, Regular Expressions

Industry

Information Technology/IT

Description

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com

JOB DESCRIPTION:

Job Description: Data Foundation Manager at Johnson & Johnson Innovative Medicine (APAC Regional position )
Position Overview: Johnson & Johnson is seeking a dynamic and experienced full-time Manager to lead the implementation of data foundation programs across the APAC region. This regional role involves overseeing Data Quality, Data Catalog, Master Data Management, Data Visualization , and UI Development initiatives across multiple countries. The rol e includ es e nhance ment of data foundation capabilit ies with M achine Learning and Generative AI . The successful candidate will be responsible for establishing and promot ing Data Governance standards, driving automation, foster ing data literacy, i ntroduc ing new technologies and managing a team of contractors. Although there are no direct reports initially, the role is at a managerial level with potential to oversee direct reports in the future. The role includes hands-on work.

REQUIRED SKILLS & QUALIFICATIONS:

  • Proven experience in Data Management, Data Governance, Data Quality, Data Catalog, Data Literacy programs or related fields .
  • Strong skills in Spark SQL and Regular Expressions ( Regex ) for Data Quality validation.
  • Good understanding of Databases, ETL processes, DevOps practices, and AWS Cloud infrastructure including Cloud Databases.
  • Knowledge of AI and Machine Learning concepts, particularly in the context of data quality and catalog enrichment (experience with GenAI preferred but not required).
  • Excellent remote communication skills . Demonstrated ability to manage multiple contractors and collaborate effectively with remote stakeholders across different countries.
  • L angu age : Fluency in English; second language skills in Korean, Japanese, or Chinese are advantageous but not mandatory.
  • Location : Japan, Korea , Australia

PREFERRED QUALIFICATIONS:

  • Experience in healthcare, pharmaceutical, or regulated industries.
  • Familiarity with cloud platforms (AWS, Azure) and data platforms (Redshift) .
  • Knowledge of AI/ML tools and frameworks relevant to data management.
Responsibilities
  • Lead the implementation of Data Quality monitoring systems, leveraging AI and Machine Learning techniques when applicable.
  • Define, develop, and enforce Data Governance policies and standards to ensure data integrity, security, and compliance.
  • Enrich and maintain the Data Catalog to facilitate data discovery and enhance understanding of our data assets. Introduce Gen erative AI techni ques to improve Data Catalog ’s content.
  • Drive organizational data literacy initiatives and foster a data-driven culture across the APAC region.
  • Oversee and coordinate dashboards and analytical platforms .
  • Drive improvement of Data Governance tools , Data Analytics platform , enhance, and maintain front-end User Interfaces and Back-end systems.
  • M anag e multiple contractors and in flu ence IT DevOps team s to support platform s maintenance , upgrades and e volution .
  • Engage effectively with remote stakeholders across different countries, ensuring clear communication, requirements gathering, and solution alignment despite geographic dispersion.
  • Provide strategic guidance, mentorship, and coordination between teams.
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