Sr Manager, Data Governance Lead

• Develop and implement a comprehensive master data governance strategy aligned with organizational goals.
• Define data governance policies, standards, and procedures for managing master data.
• Design overall MDM architecture and interfaces (in coordination with Enterprise and solution architect) with appropriate systems that are either producing or consuming master data elements.
• Establish data quality metrics for master data and monitor performance to evaluate data quality, compliance, and governance effectiveness.
• Facilitate data governance council meetings, working sessions, and training workshops to promote awareness, collaboration, and alignment on data governance objectives.
• Manage and prioritize data governance projects and initiatives.
• Define and monitor the effectiveness of data governance initiatives.
• Oversee the data governance program lifecycle, including planning, execution, and continuous improvement.
• Promote a culture of data governance, stewardship, and accountability across the organization through change management initiatives.
• Work together with individuals from different business areas, data owners, IT, and subject matter experts to establish roles, responsibilities, and structures for data governance.
• Build strong relationships with data council and stewards and champion data governance across the organization.
• Educate team members on the significance of data governance and how it influences business outcomes.
• Collaborate with technical teams to establish and maintain data quality controls and processes, ensuring the accuracy and consistency of master data.
• Oversee data cleansing and standardization activities.
• Ensure compliance with relevant data privacy regulations.
• Evaluate and recommend MDM and data governance tools (both internal and external leading enablers) to support the program.
• Collaborate with IT and business teams to enable data governance services to meet the business needs.
• Stay updated on the latest data governance technologies and effective approaches.

Requirements :

• Minimum 8-10 years’ experience working cross functionally leading teams in supply chain services organization in 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 (, GDPR, CCPA).

Thermo Fisher Scientific Inc. is proud to be an Equal Opportunity Employer (EOE) and provides reasonable accommodations to individuals with disabilities.

We embrace diversity and encourage individuals from all backgrounds to apply.