The Data Governance Data Modeler will work within the Data & Architecture to model data relating to critical business processes and regulatory reporting requirements, as required under the Data Management policy. Data is modelled and defined consistently within the Business Information (HBIM) framework. The role reports to a Data Governance Manager within the Data & Architecture.
The Data Management policy contains high-level principles for best practices with regards to Data Management. It is supported by Data Management procedures and Data Management operational instructions. Responsibility for implementation and compliance to the policy lies within the respective global business or global function with support and guidance provided by Group Data Utility within the Data & Architecture.
Responsibilities:
Create and review data models as required under the implementation of the HSBC Data Management policy
Extend and maintain the HSBC Business Information Model (HBIM) based on business, industry and regulatory requirements
Create & maintain a Business Data Glossary by defining data held within HSBC using the HBIM
Communicate and promote the use of the HBIM across business lines
Maintain HBIM alignment with financial industry standard data models (e.g.
BIAN)
Review HBIM entries and feedback accordingly
Experience & Skills:
Essential:
Experience of data governance and other data management activities
Good knowledge of industry standards and regulations on data management (i.e., DCAM, BCBS 239, etc.)
Experience in managing the work of others to deliver against demands
Experience in managing data governance demands and delivery of data governance services
Skilled at driving and executing a high-volume process – completer/finisher mindset
Problem solver with ability to find practical solutions and prevent delays
Influencing skills, able to gain support and buy in from stakeholders
Robust communicator with excellent oral and written skills
Robust Microsoft Excel skills
Proficiency with JIRA
Collibra and Informatica
Desirable:
Positive knowledge and understanding of semantic / conceptual modeling and its role in data governance i.e. Semantics of Business Vocabularies and Business Rules (SBVR), UML Class Models, etc
Experience with Data Governance platforms such as Collibra or Informatica etc
Process improvement / simplification experience desirable
📌 Data Modeller Data Governance Bengaluru (India)
🏢 Right Advisors
📍 India
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