Data Governance Analyst at GVA Partners

Responsibilities:

• Support development and implementation of Data 

• Management strategies, portfolio & roadmap 

• Support in driving policy, implementation, and control.  

• Supporting to drive Data framework implementation.  

• Draft Training, Communications, Awareness, and Engagement plans to the Bank.  

• Define how controls will be embedded, measured, and assessed. 

• Evolve the governance processes as needed as platforms and processes change. 

• Be the point of contact for Data Governance queries, including escalation point for client concerns. 

• Support and supervise information stewardship activities and management.  

• Support alignment of data governance programme to the Group’s strategy. 

• Support in delivery of the data governance programme 

• Drive synchronization and management of source of record  

• Manage data as a strategic asset and operationalize data controls and frameworks to sustain the integrity of the data 

• Drive and support the use of a common data dictionary and automated data refinement to effectively run compliance models – really need focus on controls in models 

• Foster a culture of Innovation with enterprise-wide collaboration and partnerships 

• Collaborate on cross functional innovative self-service analytics to eliminate unnecessary manual effort.

Keys Qualifications and Skills: 

• University degree in Information Technology or related subject.  

• 2 years of equivalent work experience in the Data Governance field, ideally in the Retail Banking sector. 

• IT certification and other professional qualification  

• Excellent analytical skills, written and verbal communication skills.

• Ability to design and implement systems necessary to collect, maintain, and analyze data. 

• Ability to provide a range of systems training and/or support activities for users. 

• Specialist knowledge of data governance principles and practices. 

• Strong background and working knowledge in end-to-end data management principles

• Familiar with database and BI/Machine Learning/AI concepts  

• Demonstrate advanced proficiency in Microsoft Office tools 

• Strong analytical and problem-solving skills