Senior (5+ years of experience)
Summary of the Role
As a Senior Data Quality Manager, you will lead initiatives to ensure the accuracy, completeness, reliability, and consistency of our company's data assets. Your role is crucial in providing high-quality data that enables informed decision-making and drives business strategy and outcomes. You will manage a team dedicated to data governance, data quality, and data management practices.
Required Skills
Expertise in SQL and familiarity with programming languages such as Python or R.
Strong analytical and problem-solving skills.
Excellent communication and interpersonal skills.
Ability to translate complex data concepts into business-friendly language.
Detail-oriented with a commitment to high data quality standards.
Project management skills and experience leading cross-functional projects.
Qualifications
Bachelor's or Master's degree in Computer Science, Data Science, Information Management, or a related field.
Minimum of 5 years of experience in data quality management, data governance, or a similar role.
Proven track record in managing and leading data quality improvement initiatives.
Strong understanding of data management principles, including data modeling, data warehousing, and data mining.
Experience with data quality tools and software.
Knowledge of relevant legal and regulatory data compliance requirements.
Exceptional leadership and team management skills.
Responsibilities
Lead the development and implementation of data quality standards, data protection standards, and data governance policies.
Oversee the monitoring and continual improvement of data quality, working closely with data stewards and IT teams.
Drive the resolution of data quality issues by collaborating with various business units and conducting root cause analysis.
Define metrics and KPIs to measure data quality and the performance of data management activities.
Ensure compliance with relevant data protection and privacy laws and regulations.
Manage and mentor a team of data quality analysts and specialists.
Collaborate with senior management to align data quality initiatives with business goals and objectives.
Design and implement data quality training programs for staff across the organization.
Contribute to the design and maintenance of data systems and databases to ensure data quality.