Data Governance Specialist

1 day ago


Jersey City, New Jersey, United States SysMind Tech Full time
Job Description
SysMind Tech is seeking a highly skilled Data Governance Specialist to join our team. As a key member of our data management team, you will be responsible for implementing data quality management, enterprise data warehouse solutions, and assisting with data governance.

About the Role
The ideal candidate will have strong experience with data analysis, specifically as it relates to enterprise data management, including data warehousing and source to target mapping. They will also have excellent problem-solving and analytic skills, as well as excellent communication skills, both verbal and written, and the ability to work collaboratively within a team, business stakeholders, and executives.

Responsibilities
  • Partner with the Data Product Manager, Data Architects, and Data Engineering Manager to ensure data analysis is addressed in the product development lifecycle
  • Develop, implement, and support the processes and best practices for data exploration, data profiling, data quality, and data mapping required for the tactical implementation of SysMind Tech's data strategy and roadmap
  • Collaborate with business data owners to execute data profiling and source data analysis for critical applications and systems
  • Participate in data governance activities by partnering with the Enterprise Data Stewards as required
  • Participate and contribute to the data issues resolution process within our Data Governance function
  • Develop and manage the data lineage, business rules (data quality, cleansing, transformation rules, etc.), reference data, and mapping documents across the enterprise in the Metadata Management Tool
  • Apply data analysis skills to the data quality/data governance process and/or to the data flows required to engineer the enterprise data warehouse
  • Prepare analysis findings and communicate to both business and technical stakeholders
  • Create data visualizations to explain data analysis recommendations


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