Educational and Professional Qualifications

• Bachelor’s degree in computer science, Information Technology, or a related field, or equivalent professional experience.
• Minimum of 6 - 10 years of hands-on experience in data governance roles within the technology industry.
• Advanced degree in a related field and certifications in data governance or related areas is desirable but not mandatory.

Technical Expertise

• High proficiency in using Collibra Data Catalog for data governance activities, including workflow development and operational model design.
• Expertise in metadata management and implementing metadata cataloging processes to enhance data discoverability, accessibility, and governance.
• Proven experience supporting the design and implementation of data governance frameworks, policies, and procedures that ensure data integrity, security, and regulatory compliance.
• Proficiency in Collibra workflow development, including custom workflow creation and optimization.
• Familiarity with integration architecture to enable seamless interoperability between Collibra and other enterprise systems.
• Collibra Ranger Certification
• Collibra DQ expertise
• Proficiency in Microsoft Office applications, especially Excel, for reporting and data analysis; SQL, HTML

Functional Responsibilities

• Collaborate with cross-functional teams to establish and maintain data stewardship and ownership roles.
• Manage metadata to ensure accuracy, consistency, and accessibility across the enterprise.
• Implement and manage metadata cataloging processes to improve data discoverability and usability.
• Utilize Collibra to drive data governance activities and provide training to teams to enhance adoption and maturity.
• Lead or assist in project management activities related to data governance initiatives, ensuring timely delivery and stakeholder alignment.
• Provide expert guidance and support to metadata stewards, ensuring compliance with governance policies.
• Conduct training sessions, workshops, and demos for various stakeholders, including senior management, to promote data governance awareness and adoption.
• Facilitate technical architecture discussions and provide recommendations aligned with industry best practices and organizational standards.

Soft Skills and Communication

• Excellent communication skills, both written and verbal, with fluency in English.
• Strong stakeholder engagement skills, capable of working collaboratively across business and IT teams. Ability to work independently with divisional stakeholders.
• Ability to conduct effective training sessions and presentations tailored to diverse audiences.
• Team-oriented mindset with a cooperative and proactive approach to problem-solving.

Preferred but Not Essential

• Experience working in a research-intensive biopharmaceutical or life sciences company.
• Experience with AI stewardship and governance of AI models, ensuring compliance and ethical use of AI-driven data assets.
• Strong understanding of data quality management
• Additional certifications in data governance or related disciplines (DAMA, etc.)
• Advanced degree in a relevant field.

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