Director, Data & Information Governance
... and implementation of the AFSA’s data and information governance framework, ensuring ... or new situations. Demonstrates high levels of persistence and resilience. Applies ...
... and implementation of the AFSA’s data and information governance framework, ensuring ... or new situations. Demonstrates high levels of persistence and resilience. Applies ...
... and implementation of the AFSA’s data and information governance framework, ensuring ... or new situations. Demonstrates high levels of persistence and resilience. Applies ...
... and implementation of the AFSA’s data and information governance framework, ensuring ... or new situations. Demonstrates high levels of persistence and resilience. Applies ...
... and implementation of the AFSA’s data and information governance framework, ensuring ... or new situations. Demonstrates high levels of persistence and resilience. Applies ...
... and implementation of the AFSA’s data and information governance framework, ensuring ... or new situations. Demonstrates high levels of persistence and resilience. Applies ...
... and implementation of the AFSA’s data and information governance framework, ensuring ... or new situations. Demonstrates high levels of persistence and resilience. Applies ...
... in our teamOur teams use data and analytics to identify customers’ ... -on experience and expertise in data design, flows, data layers and data semanticsAnalyse data profile, Data lineage and data patternsProvide support and participate in ...
... to provide trusted and available data which can be used to ... a member of the Enterprise Data team within the Information Office. ... CTF legislation, GDPR). · Familiar with data management and data governance frameworks, and standards (e. ...
... within cloud systems. Proficiency in data management practices including data modelling, data quality monitoring, maintaining data dictionaries, row column level security, sensitive data masking or tokenization, and access ...
... services often consists of Data Engineers, Data Scientists and Machine Learning Engineers, ... including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.Real impact one ...