What you have:

• Bachelor's Degree required in Data Management, Information Technology, Business Administration, or a related field
• Minimum 7 years of experience with the related business processes and data. Previous experience in in data management or data governance preferred
• Proficiency in data management and data governance principles
• Excellent judgment, discretion, and tact. Ability to handle confidential information to ensure compliance with PIPA, PIPEDA, and other regional privacy laws
• Strong understanding of the data domain and its use across the enterprise
• Detail-oriented with a focus on data accuracy and quality
• Knowledge of data modeling and database design relevant to the business function
• Strong analytical and problem-solving skills with a proactive and solution-oriented mindset
• Ability to analyze data and apply critical thinking to resolve issues and suggest solutions and improvements
• Strong planning, project management, and organization skills. Demonstrated ability to lead and prioritize multiple tasks and projects
• Familiarity with relevant data privacy and security regulations

Additional Qualifications

• Ability to assess complex business processes, identify inefficiencies, and propose data-driven solutions for improvement
• Deep understanding of internal dynamics, able to utilize corporate intelligence to inform direction an asset
• Strong ability to work across functional and geographical boundaries, building collaborative relationships to drive integration and adoption. Demonstrated success working with all levels of management
• Experience working in an international organization, supporting executive-level decision-making, and implementing cross-organizational initiatives
• Clear communication and influencing skills including strong conflict resolution skills between leaders, business owners and functional teams
• Ability to align data architecture design with strategic objectives while ensuring operational efficiency at a global scale
• Ability to support transformation initiatives and foster a culture of continuous improvement and innovation

Key Metrics

• Data quality metrics (accuracy, completeness, consistency) within the business function
• Compliance with data governance policies and standards
• Timeliness and accuracy of data updates and reporting
• User satisfaction with data accessibility and usability
• Reduction in data-related issues and incidents