Sr. Manager, Data Governance & MDM

Takeda•Boston, MA

2d•Onsite

About The Position

As a Senior Manager, Data Governance & Master Data Management (MDM), you will lead the design and execution of data governance and MDM practices within R&D. You will ensure high-quality, trusted, and well-managed master data that supports reliable decision-making, interoperability, and compliance, enabling R&D to deliver new medicines with greater speed and quality.

Requirements

Bachelor’s degree in Computer Science, Information Technology, Data Science, Business Administration, or a related field.
5–8 years of experience in data governance, data management, or related disciplines within pharmaceutical, healthcare, or life sciences environments.
Strong hands-on experience with Master Data Management (MDM) and FAIR data principles.
Experience working across R&D data domains, including Research, Clinical, Regulatory, Safety, and Portfolio.
Demonstrated expertise in data quality management methods and tools.
Proven ability to align data governance practices with business and compliance needs.
Strong understanding of data governance, MDM, and data quality frameworks.
Experience with data governance and MDM tools in regulated environments.
Excellent communication skills, with the ability to engage technical and business stakeholders.
Strong problem-solving skills and attention to detail.
Ability to lead, mentor, and influence cross-functional teams.

Nice To Haves

Master’s degree or Ph.D. in Data Science, Information Management, Business Administration, or a related field.
Supporting regulatory compliance and data privacy initiatives in pharma or healthcare.
Familiarity with data governance platforms, data lakes, and data warehousing solutions.
Ability to drive adoption and change through practical, data-driven solutions.

Responsibilities

Partner with R&D Data Domains to define, deploy, and maintain Critical Data Elements (CDEs) required for master data management.
Own and manage the R&D MDM platform, including the design, implementation, and enhancement of MDM capabilities and features.
Identify downstream systems that require master data integration and plan their onboarding to the enterprise MDM platform.
Enable Data Stewards to implement data quality and integrity checks as part of MDM match-and-merge processes.
Monitor and instrument the R&D data ecosystem to ensure critical master data is trusted, interoperable, and fit for use.
Ensure governance, data quality, integrity, and privacy standards are consistently applied across mastered data.
Drive adoption of MDM and data governance practices through clear standards, partner engagement, and practical enablement of data stewards and domain teams.
Develop and implement R&D data governance policies and practices related to master data.
Ensure adherence to data quality, integrity, and privacy standards.
Lead the integration of R&D data systems into the enterprise MDM platform.
Oversee master data modeling, matching, merging, and stewardship workflows.
Support the design and deployment of data aligned with FAIR (Findable, Accessible, Interoperable, Reusable) principles.
Ensure FAIR principles are consistently applied to mastered R&D data and operationalized through platforms and stewardship workflows.
Work closely with R&D Data Domains, Enterprise Data teams, Legal, Ethics & Compliance, Privacy, and the Global Data Council to align governance and MDM practices.
Implement tools and processes to continuously monitor master data quality, trustworthiness, and interoperability.
Report on data health and risks, proactively addressing issues.