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Prestigious Financial Institution is currently seeking a Business Data Governance Technical Specialist. Candidate will have a holistic perspective on the entire data governance process from both a business and technical perspective.
Act as a liaison and translation layer between business and technical teams and operates at system- and detailed technical level for analysis purposes.
Work on new project requirements from initial requirements through full development life cycle and implementation.
Responsibilities :
Responsible for gathering business and technical requirements to capture metadata and lineage working with Business and Technical SMEs.
Lead Data Domain and Data Steward Workgroup meetings
Work closely with Data Domain Owners and SME's to identify CDE's (Critical Data Elements) and define data elements for the Business Glossary
Collaborate with Data Domain Owners to identify and define appropriate business rules
Collaborate with the Metadata specialist to identify data sources
Collaborate with data modelers to review definitions of business terms vs. technical terms
Utilize data profiling and data quality tools to expose and determine causes of data quality issues when defining business rules
Participate in metadata management utilizing IBM Metadata Asset Manager and the IBM Information Governance Catalog to build out the business glossary
Implement data governance controls, procedures, and standards
Develop and deliver presentations for department and senior leadership
Perform other duties as assigned
Qualifications :
Strong written and oral communication skills with ability to work with users, peers and management
Strong interpersonal skills
Ability to work independently and as part of a team to successfully execute projects
Highly motivated, self-starter with problem solving skills
Ability to multitask and meet aggressive deadlines efficiently and effectively
Extraordinary attention to detail and accuracy
Demonstrate ability to learn and understand business processes quickly
Project Management experience a plus
Technical Skills :
Structured Query Language (SQL)
Data Governance Tools example, Informatica, IBM ISEE, Collibra etc
Experience working on APIs, Kafka as Data Sources is preferred.
Proficient with Microsoft Office desktop tools (Word, Excel, etc.)
Experience with Databases (ie Oracle, SQL Server, DB2, Amazon Redshift).
Strong data analysis capabilities.
Education and / or Experience :
Bachelor or Master degree in data analytics, computer science or related field.
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