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PL/SQL SERVICE DELIVERY MANAGER
Location:
US-TX-Dallas
Jobcode:
3541932
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We currently have the below urgent requirement pls reach me at with suitable profiles Job title : PL/SQL SERVICE DELIVERY MANAGER Exp: 10-14+yrs Location : Dallas, TX Job summary Work with client stakeholders to define the quantifiable goals of the data governance program, PL/SQL (e.g., KPIs to impact Create a data quality framework (DQF) that identifies the data domains and critical data elements that will be in scope. Identify quality metrics to track over time. PL/SQL Build a roadmap for data governance that prioritizes domains and CDEs for inclusion in the program. Required Skills Technical Skills- ,PL/SQL Domain Skills- Nice to have skills Techincal Skills- ,Progress Database,MS SQL Server,SQL Server,DB scripting Domain Skills- ,Data Management Roles & Responsibilities : Work with client stakeholders to define the quantifiable goals of the data governance program, PL/SQL (e.g., KPIs to impact Create a data quality framework (DQF) that identifies the data domains and critical data elements that will be in scope. Identify quality metrics to track over time. PL/SQL Build a roadmap for data governance that prioritizes domains and CDEs for inclusion in the program. With program rollout, work with client SMEs to define business and technical quality rules around prioritized data elements and alert model. In conjunction with Data Governance Consultant and other Data Integrations partners participate in discussions with client stakeholders to understand Data Quality requirements. PL/SQL Coordinate and discuss with current stakeholders, review existing PL/SQL, Data Quality landscape, DQ processes and their capabilities/functionalities Perform basic data profiling on a sample representative data set, coordinate with customer POCs, set up meetings and discuss findings of Data profiling and discuss possible data issues, cleansing/remediation measures. Collaborate with various business and technical SMEs to understand existing data quality rules, their availability and usage. Identify Data Quality KPIs/Metrics, possible framework for DQ dashboards/scorecards, PL/SQL Identify possible use cases of Data Quality implementation such as Data profiling & analysis, data validation, cleansing, standardization and prioritize tactical & strategic areas for data quality improvement Come up with a high level DQ framework, roadmap and implementation strategy

SoftPath Technologies LLC

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