Job Description

About the Role:We are seeking a highly skilled and experienced Manager, Data Governance to join our Data Science team in the APAC region. This role is pivotal in ensuring the integrity, quality, and security of our data assets, thereby driving data-driven decision-making processes across the organization. The ideal candidate will have a deep understanding of data governance, master data management (MDM), and data quality processes within the pharmaceutical industry. They will also have a proven track record in project management, particularly for data science-related projects, across multiple countries in the APAC region.
Key Responsibilities:

• Data Governance Implementation:

+ Develop and enforce data governance frameworks, policies, and procedures to ensure data accuracy, consistency, and security.
+ Collaborate with stakeholders to define data governance strategies and initiatives aligned with business goals.

• Master Data Management (MDM):

+ Implement and manage MDM solutions to maintain a single, trusted view of core business data.
+ Oversee the integration of MDM with other data systems and processes.

• Data Quality:

+ Establish data quality standards and metrics to monitor and improve data quality.
+ Conduct regular data quality assessments and audits, and implement corrective actions as needed.

• Data Catalog and Data Acquisition:

+ Create and maintain a comprehensive data catalog to help employees understand and utilize data assets effectively.
+ Develop and manage data acquisition processes to ensure high-quality data from external suppliers and internal sources.

• Project Management Office (PMO):

+ Lead the PMO for the Data Science team, overseeing the planning, execution, and delivery of data science projects.
+ Ensure projects are delivered on time, within scope, and within budget, while meeting quality standards.
+ Coordinate with cross-functional teams across China, Japan, Korea, Australia, and New Zealand to align project goals with business objectives.

• Team Management and Development:

+ Manage a team of 3 employees, providing leadership, guidance, and support.
+ Foster a collaborative and growth-oriented environment to help team members develop their skills and advance their careers.
+ Conduct regular performance reviews and create development plans for team members.

• Hands-On Data Management:

+ Engage in hands-on data management activities, including data integration, data modeling, and data analysis.
+ Provide technical expertise and support to the Data Science team and other stakeholders.

• Pharmaceutical Business Understanding:

+ Apply knowledge of the pharmaceutical industry to address data governance challenges specific to the sector.
+ Stay informed about industry trends, regulations, and best practices related to data management.Education:

• Bachelor\'s or Master\'s degree in Computer Science, Information Systems, Data Science, or a related field.

Experience:

• Minimum of 8-10 years of experience in data governance, data management, and project management.
• Proven experience in implementing data governance frameworks and MDM solutions.
• Strong background in data quality management and data cataloging.
• Experience working in the pharmaceutical industry or a deep understanding of its data-related challenges.
• Demonstrated success in managing data science projects across multiple countries, specifically in China, Japan, Korea, Australia, and New Zealand.
• Experience in managing and developing a team.

Skills:

• Excellent project management skills with a track record of delivering complex projects on time and within budget.
• Strong analytical, problem-solving, and decision-making abilities.
• Proficiency in data management tools and technologies.
• Excellent communication and interpersonal skills, with the ability to work effectively with diverse teams and stakeholders.
• Fluency in English; proficiency in one or more APAC region languages is a plus.

eQuest