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Job Description

About the role:

We are seeking a Data Fabric Architecture & Governance Engineer to support the planning, development and execution of data model and data governance frameworks for Takeda’s Pharmaceutical Sciences organization. This a unique and exciting opportunity for candidates who are curious, eager to learn, and open to working on a variety of tasks related to data architecture, data governance, and data (life-cycle) management within the dynamic realm of pharmaceutical R&D.
 

In this role, you will collaborate closely with senior data architects and governance experts to help design and implement data models, data structures, frameworks, and establish best practices in an environment where formalized data governance is still evolving. You will play a key role in implementing and operationalizing data governance frameworks, ensuring that data is accessible, of high-quality, and well-managed to improve operational effectiveness.

How you will contribute:

• Support the design and implementation of a data fabric architecture.

• Support data governance initiatives.

• Maintain and update data documentation.

• Contribute to data quality definition and monitoring.                                 

• Assist in the design and implementation of a data fabric architecture to ensure seamless data integration and management across the organization.

• Support data governance initiatives by helping to establish and enforce data policies, standards, and best practices.

• Collaborate with cross-functional teams to understand data requirements and provide solutions that align with business objectives.

• Participate in data quality assessments and contribute to the development of data quality improvement plans.

• Help maintain and update data documentation, including data dictionaries, metadata repositories, and data lineage information.

• Contribute to the development and maintenance of data models and data flow diagrams.

• Assist in troubleshooting and resolving data-related issues, ensuring data integrity and consistency.

• Stay current with industry trends and emerging technologies in data architecture and governance.

Minimum Requirements/Qualifications:

• A minimum of a Bachelor’s degree in Pharmaceutical Sciences, Data Science, Computer Science, Information Systems, or a related field is required. A Master’s degree in these fields is preferred for its depth of theoretical and practical knowledge.

• At least 5 years (Bachelor’s) or 3 years (Master’s) of substantial experience in data architecture and data governance. Profound knowledge of CMC (Chemistry, Manufacturing and Controls) is preferred, and experience should include implementing and enforcing standards and policies, conducting audits, setting and tracking KPIs, and maintaining high standards of data quality, integrity and compliance.

• Basic understanding of data management concepts, including data architecture, metadata, and data governance. Familiarity with SQL, Python, or other scripting languages for data manipulation and automation. Exposure to cloud platforms (AWS) and data integration concepts is a plus.

• Knowledge of current and upcoming regulatory requirements around data integrity, including comprehensive understanding of ALCOA++ principles and other relevant data protection standards like GDPR and HIPAA. The ability to apply th