AIA is looking for a lead data architect to develop a Data Excellence (DE) across business units in the local Hong Kong entity.
The data architect’s focus is to design a framework that will help infuse a data-driven culture in the organization. The lead data architect will define models, policies and standards that will govern the movement, enhancement, integration, catalog, quality, security, scalability and availability of data throughout the organization.
Roles and Responsibilities
Develop a Data Excellence (DE) across business units in the local Hong Kong entity
Build trust and exert influence in all areas of IT and business to develop a data-drive culture among the organization
Engage with business and technology leaders to understand strategy, articulate solution options, evaluate tradeoffs and influence key decisions
Collaborate within and outside of IT to define the data management & governance process, and facilitate its adoption
Employ architecture principles, technology standards, best practices and practical experience to design data management & governance solutions to facilitate the overall information architecture (data solutions, ingestion, classification, linage & traceability, integration, catalog, quality, security, scalability, availability, etc.)
Partner with application development teams the solutioning of the data management and governance platform (Informatica AXON, EDC, etc.)
Partner with application development teams to create and apply data integration patterns between applications running on-premise and in Azure
Partner with application development teams to create a Data Lake and data visualization / analytic solutions. Promote usage within IT and to business (Informatica, Auzre Data Lake, HDInsight, etc.)
Partner with application development teams to ensure project / application solution deliveries are aligned with data policies and standards
Partner with business to leverage data to tackle business challenges / opportunities, to improve strategic decision making, reduce risk, create operational efficiencies and fuel business success
A bachelor’s degree in information technology or related discipline
10+ years of IT related experience in architect / managerial position, preferably in insurance or financial industry
A demonstrated track record of making a difference and adding value. Must be able to develop relationships across IT and business units, working cross functionally to achieve results
Proven ability to lead and demonstrate strong sense of ownership
Proven ability to present complex information in a simplified fashion to facilitate understanding
Experience working with Cloud platforms (Azure preferred)
Experience using relational databases and data warehouse such as Azure SQL, SQL Server, Sybase, Oracle or others
Experience using NoSQL DBs such as Azure Cosmos DB, ElastiCache, MongoDB, Redis, Neo4j or others
Experience using Big Data related solutions such as Azure Data Lake, HDInsight, Azure Analytics, Azure Event Hub, Informatica AXON, EDC, Hadoop, MapReduce, Spark or others
Experience using statistical tools and building machine learning algorithms using tools such as R or others
Experience using data visualization / analytic tools such as Tableau, MS Power BI or others
Self-motivated, action-and-result oriented, team player and proven ability to influence others
Excellence verbal / written communication, presentation and interpersonal skills
We offer an attractive remuneration package to the successful candidate. Please submit your application by clicking Apply Now for our processing.
All personal information provided by applicant will be treated in strict confidence and used solely for recruitment purposes.
The personal information will be used strictly in accordance with AIA’s personal data policies, a copy of which will be provided upon request.
It is possible that information about the applicant or the applicant’s application will be shared with AIA and its related companies.
AIA will retain all applications for a period of up to 24 months after which the documents will be destroyed.