Description
Data Quality Manager Role Description
- Responsible for defining and implementing a data quality methodology and the processes, procedures and standards required to support an enterprise wide data quality management program
- Develops processes to streamline data quality measurement, monitoring and remediation across lines of business and enterprise data flows
- Run data quality forum with representatives across business functions to understand data quality issues
- Define processes and procedures for conducting audits of data quality using sound sampling and statistical estimation techniques
- Develops processes to document and maintain data lineage, critical data element metadata and data quality rules
- Custodian of the business rules repository and responsible for ensuring it kept up-to-date and properly maintained
- Manage and execute the creation and distribution of data quality reports
- Assists in measuring and monitoring data quality and identifying business impacting data quality issues
- Assists in measuring data quality capability and maturity
- Assists in data quality assessments and derive metrics for the data elements of most business value
- Assesses and provides metrics of the data quality characteristics of validity, integrity, accuracy, completeness, timeliness control, availability, relevance, usefulness, accessibility, and definition
- Collaborate with IT to select and implement data quality tools
- Provide training on data quality processes and procedures
- Develops and maintains working relationships with business leaders/strategy owners
- Manages stakeholders' interest proactively
Desired Skills and Experience
Here are the minimum qualifications and essential functions for this position:
- Bachelor's degree in relevant discipline
- 3-5+ years relevant experience
- Strong understanding of data quality management principles
- Data quality business process improvement experience
- Strong project management experience with a proven track record of delivering successful projects on time and within the agreed quality standards
- Advanced knowledge of data quality analysis tools
- Result oriented
- Data quality tool implementation experience desirable
- Strong written, verbal, and interpersonal communication skills
- The ability to present complicated analytics clearly to senior stakeholders
- Strong process viewpoint
- Cooperative problem solving mindset
- Able to work well across multiple functional areas
- Demonstrated ability to deal with ambiguity
- Exposure to ITSM a distinct plus
- Experience with TIQM a plus
- IQCP certification a plus
For a confidential discussion please call Michael