Lead the design, development and implementation of an integrated business model that defines the data structures across the organisation
Lead the design, development and implementation of solutions to improve and sustain data quality, database performance, data accuracy and data security for digital and non-digital data sets.
Design and evaluate the effectiveness of solutions that use a combination of business intelligence, analytics, traditional data warehousing and big data services.
Acquire and manage data to meet ongoing regulatory and business reporting with a key focus on actuarial reserving and capital modelling data.
Create a business model that can be used in future analysis to extend and mature the data architecture.
Develop and maintain data standards and governance framework.
Research and present findings on emerging data and architecture concepts and technologies to senior product and data owners.
Identify opportunities for Business Intelligence to improve customer focus, system thinking and quality of data and functionality.
Proactively identify data quality issues and provide solutions.
Oversee the effectiveness of controls that manage large volumes of data daily, weekly and monthly in the ETL processes.
Provide rules for mastering of data across all key data sets as defined in the enterprise architecture data model.
Consider disruptive data technologies that would enable changes to fast track the organisations data transformation.
Establish a focal point for the understanding data and represent the data in way that it can be easily understood across the organization.
Job Requirements
Bachelor’s degree in Actuarial Science, Computer Science, Data Science, Engineering or related field.
5 – 8 years’ experience in conceptual, logical and physical data modelling.
Sound understanding of insurance industry.
Prior strategic project experience and client relationship management is advantageous.
Additional Details
Align own behaviour with the organisation culture and values.
Share and transfer product, process and systems knowledge to colleagues.
Collaborate and work with the HR and IT teams to deliver required service levels.
Actively share information with other team members regarding successes, issues, trends and ideas.
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