Lead – Data Architecture

ERC International

Lead the design, implementation and enhancements of
Data Marts, collect and analyse user requirements in order
to support business users achieve business goals
Develop and implement tools and platforms for data
acquisition, extraction, transformation, management and
manipulation of large and complex data sets in order to
meet business requirements
Manage the collection of various metadata assets and
oversee profiling of internal and external data sources in
order to increase visibility and promote reuse

Engage with key stakeholders to define data classifications
and data zoning to enable sensitive information assets to
be immediately identified and proactively managed
Develop relationships and interact with external data and
analytics vendors to support the implementation of data
tools and platforms
2. Data Governance and Best
Determine and implement overall data modeling standards,
guidelines, best practices and approved data modeling
techniques to ensure alignment with enterprise architecture
industry standards and IT strategy
Liaise with external regulatory authorities to develop data
governance in order to facilitate data availability, quality
and ownership
Supervise the creation of all conceptual, logical and
physical data models and conduct periodic reviews to
ensure data modeling practices and guidelines are followed
and comply with policies and standards
Research and identify emerging technology and industry
standard data architecture/management frameworks in
order to recommend enhancements to existing systems
and approaches
3. Data Security and Risk
Protect the bank’s data against IT risks, including
unauthorised access to information, data integrity
problems, loss of processing capability, and poor service
levels and provide recommendations to ensure the
information system is successfully exploited to achieve
continuous improvement and competitive advantage by
identifying needs

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