Data Governance Lead
1 week ago
**Job Summary:**
We are seeking a highly experienced Data Governance Lead to join our team at Thermo Fisher Scientific. As a key member of our organization, you will be responsible for developing and implementing a comprehensive master data governance strategy that aligns with our business goals.
Key Responsibilities:
- Develop and implement a data governance strategy that ensures the accuracy, consistency, and quality of our master data.
- Define data governance policies, standards, and procedures for managing master data, including data quality metrics and monitoring performance.
- Design and implement a master data management (MDM) architecture and interfaces with appropriate systems that produce or consume master data elements.
- Establish and maintain data quality controls and processes to ensure the accuracy and consistency of master data.
- Oversee data cleansing and standardization activities to ensure data quality and compliance.
- Ensure compliance with relevant data privacy regulations, such as GDPR and CCPA.
- Collaborate with technical teams to establish and maintain data quality controls and processes.
- Work with cross-functional teams to establish roles, responsibilities, and structures for data governance.
- Build strong relationships with data council and stewards to champion data governance across the organization.
- Develop and implement training programs to educate team members on the significance of data governance and its impact on business outcomes.
Requirements:
- Minimum 8-10 years' experience working cross-functionally leading teams in a regulated industry.
- 5-7 years of experience in data governance or data management.
- Proven track record of developing and implementing successful data governance programs.
- Comprehensive knowledge of data governance principles, methodologies, and effective approaches.
- Excellent communication, collaboration, and influencing skills.
- Ability to lead and manage cross-functional teams.
- Strong ability to effectively solve problems and think critically.
- Proficiency in data profiling, modeling, and data quality concepts.
- Project and change management experience.
Preferred Qualifications:
- Experience with master data management solutions and tools.
- Experience in AI/ML predictive analytics and generative AI.
- Experience working in a similar industry.
- Knowledge of data privacy regulations.
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