Quality Engineer I

Issue Management RoleReview auto-generated data quality issues and self-identified data issues from line of businesses (e.g., review issues reported, understand problem statement/root cause, perform quality assurance, survey for downstream impact and risk assessment) by coordinating and driving meetings with appropriate Subject Matter Expert.Partner with Subject Matter Expert and business or technology stakeholders to drive high severity self-identified data issues to remediation.Have an in-depth understanding of issue management tool (i.e., ServiceNow), business intelligence tool (i.e., ThoughtSpot), and the process (including issue lifecycle) for self-identified data and systematic generated issues to provide support and guidance to end users. Identify and solicit for improvement opportunities.Perform operational activities to ensure data governance reporting / metrics are up to date.Prepare power point deck for various data governance working groups/forums (e.g., Cross Data Issue, weekly business office hours) including finalizing agenda and documenting minutes with action items assigned to appropriate owner.Create, enhance, and implement procedural document and training materials for Data Governance (how to guides, FAQs, rules of the road).Required Skills: Tools: exposure to ServiceNow - Issue Management background is NEEDED (Troubleshooting from a perspective of a data problem, understanding the lifecycle of issue journey, define problem, root cause, where problem stems from) - Stakeholder management is important - Collibra DQ (data quality) - Good skill to have - Business intelligence tool - PowerBI, Confluence - SQL ::looking at data sets, write a query and analyze - End to End issue management and resolution - Data Governance experienceContract to hire Hybrid in Pittsburgh (3 days onsite and 2 days remote) Background Check: Yes