- Location
- IND - Bengaluru, India
- Workplace
- Hybrid
- Type
- Full-time
- Seniority
- Manager
- Experience
- 5+ years
- Education
- PhD
- Source
- Workday
Description
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Job Description
The Future Begins Here
At Takeda, we are leading digital evolution and global transformation. By building innovative solutions and future-ready capabilities, we are meeting the need of patients, our people, and the planet.
Bengaluru, the city, which is India’s epicentre of Innovation, has been selected to be home to Takeda’s recently launched Innovation Capability Center. We invite you to join our digital transformation journey. In this role, you will have the opportunity to boost your skills and become the heart of an innovative engine that is contributing to global impact and improvement.
The Opportunity: The Senior Manager, Data Governance & Master Data Management (MDM) leads the design and execution of data governance and MDM practices within R&D. This role ensures 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.
Accountabilities:
· 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.
Core Responsibilities:
Data Governance & Stewardship · Develop and implement R&D data governance policies and practices related to master data.
· Ensure adherence to data quality, integrity, and privacy standards.
Master Data Management (MDM)
· Lead the integration of R&D data systems into the enterprise MDM platform.
· Oversee master data modeling, matching, merging, and stewardship workflows.
FAIR Data Enablement
· 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.
Cross-Functional Collaboration
· 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.
Ecosystem Monitoring
· Implement tools and processes to continuously monitor master data quality, trustworthiness, and interoperability.
· Report on data health and risks, proactively addressing issues.
Education:
· Minimum: Bachelor’s degree in Computer Science, Information Technology, Data Science, Business Administration, or a related field.
· Preferred: Master’s degree or Ph.D. in Data Science, Information Management, Business Administration, or a related field.
Experience :
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.
Skills Required:
· 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.
Desirable
· Experience 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.
Benefits:
It is our priority to provide competitive compensation and a benefit package that bridges your personal life with your professional career. Amongst our benefits are:
- Competitive Salary + Performance Annual Bonus
- Flexible work environment, including hybrid working
- Comprehensive Healthcare Insurance Plans for self, spouse, and children
- Group Term Life Insurance and Group Accident Insurance programs
- Employee Assistance Program
- Broad Variety of learning platforms
- Diversity, Equity, and Inclusion Programs
- Reimbursements – Home Internet & Mobile Phone
- Employee Referral Program
- Leaves – Paternity Leave (4 Weeks) , Maternity Leave (up to 26 weeks), Bereavement Leave (5 calendar days)