The purpose of this role is to describe and help deliver the organisation’s current and future state, as well as define the high-level change agenda required to enable it, specifically in the Information, Data and Analytics (including Artificial Intelligence (AI) and Machine Learning (ML)) domains.

About the role:

• Work with key Business Stakeholders to define the Information, Data and Analytics technology strategy for the Business that is aligned to key Business strategies and goals.
• Own the development and the maintenance of a technology roadmap that delivers to this strategy for the Business.
• Lead the data design of solutions for large projects and programs
• Direct and control large specialist teams to undertake the delivery of a comprehensive data-centric project.
• Establish, run, and participate in appropriate governance forums to ensure adherence to the agreed technology direction and guidelines.
• Simplify the existing architecture, delivering reusable services and cost saving opportunities in line with the policies and standards of the group.
• Provide clear, continuous, and consistent data architecture leadership at a detailed level within the project.
• Lead the design, development, implementation and maintenance of complex data systems and solutions.
• Ensure technology solutions are in alignment with data architecture principles and target state.
• Oversee end-to-end data life cycle management activities.
• Work with IT teams, business analysts and data analytics teams to understand data consumers’ needs and develop solutions.

About you:

• IT or IT related tertiary Qualification
• People and relationship management expertise – ability to build relationships across teams within technology, and with customer groups.
• Excellent understanding of technology principles, frameworks, and architectures.
• Broad understanding of technology standards, processes, and methodologies across a wide range of services (middleware, systems integration, data warehousing, business intelligence, quality assurance and testing).
• Entity Relationship modeling, metadata systems, data quality tools and techniques.
• Strong experience across different areas of Information Technology, with a focus on architecture.
• Extensive knowledge and experience in AI and ML.
• Proven experience in data warehousing, data modeling and/or data analysis.
• Good knowledge of data management, data integration and database development techniques.

Why choose AIA:

At AIA , we've made a promise to help people live healthier, longer, better lives. and it starts with our own people.

• We invest in training and development to build on your current skills
• Career development through internal mobility opportunities
• Work for a business helping make positive health and wellbeing changes to the lives of New Zealanders
• Access additional leave days to recharge and refresh yourself
• Enjoy wonderful health and Wellbeing initiatives that support you
• Work with supportive and inclusive managers
• Flexible working arrangements

What is next?

Recruitment Agencies: Our Talent team does not require any recruitment agency support.

Interested Candidates: Apply using the ‘Apply’ button. No emailed applications accepted. For general enquiries only, contact:

Cornelia-C.DeConing@aia.com

You must provide all requested information, including Personal Data, to be considered for this career opportunity. Failure to provide such information may influence the processing and outcome of your application. You are responsible for ensuring that the information you submit is accurate and up-to-date.