Defines data quality rules and ensures the proper implementation of data quality during the creation and modification of data, according to Enterprise Data and Analytics data quality standards, guidelines, metrics and quality-expectations. Defines rules to evaluate data quality and creates effective test plans, according to Enterprise Data and Analytics data quality standards. Ensures accuracy, completeness, integrity, consistency, uniqueness, and timeliness of data. Executes Enterprise Data and Analytics data quality tests/assessments and data cleansing activities. Monitors compliance of data flows against Enterprise Data and Analytics data quality standards. Serves as liaison between business and internal and external clients.

JOB DUTIES

• Leverages intermediate data management knowledge to maintain and define data quality and metadata processes, participates in development of data quality rules, thresholds, and standard metrics/quality-expectations for data elements that support critical business processes. Participates in and may lead discussions with cross-functional teams.
• Profiles data (statistical analysis and assessment of data). Documents effectiveness of data quality controls and metadata capture, and identifies improvement opportunities. Participates in development of best practices and tools based on business needs.
• Leverages intermediate knowledge to implement controls to mitigate data quality risks including monitoring data quality results, reports and dashboards. Ensures adherence to Enterprise data quality programs and standards. Ensures that the data quality corrective action plan is thoroughly documented.
• Checks and reviews failures from the compliance assessment checks, and recommend corrective action. Consults with Information Governance to establish criteria for data quality process "compliance assessment".
• Manages ongoing metadata repository management, access requests, and proper metadata association. 6. Leverages intermediate data management knowledge to assess impact of proposed changes to reference data, and to coordinate changes with impacted business areas.

Minimum Requirements

• Bachelor's Degree in a Business or Science discipline or a related discipline or 4 years experience in Information Management or related experience can be substituted in lieu of a degree in addition to the minimum years of experience required.
• 1+ year experience in a data management/quality analytic function.
• Working knowledge in project execution environment.
• Intermediate experience operating data quality tools and creating data quality metrics and dashboards.
• Experience with metadata, master data, reference data, and content & document management systems.
• Intermediate experience presenting and communicating findings/recommendations to team members.

Preferred

• A Master's Degree in a Business or Science discipline or a related discipline and 2+ years experience in a data management/quality analytic function.
• A Master's Degree and PhD in a Business or Science discipline or a related discipline and 1+ years experience in a data management/quality analytic function
• Master's Degree in a Business or Science discipline or a related discipline.
• Experience in Metadata Management/Data Dictionary management.
• Experience with IBM Infosphere tool Suite.