Associate Director, Analytics and Automation (AIA Investment Management)

FIND YOUR 'BETTER' AT AIA

We don’t simply believe in being ‘The Best’. We believe in better - because there’s no limit to how far ‘better’ can take us.

We believe in empowering every one of our people to find their 'better' - in the work they do, the career they build, the life they live and the difference they make. So that together we can support even more people - including our own - to live Healthier, Longer, Better Lives.

If you believe in better, we’d love to hear from you.

About the role

Join us as Associate Director, Analytics & Automation at AIA Investment Management!

At AIA Investment Management, we believe in creating long-term value for our clients and communities. We are seeking an Associate Director, Analytics& Automation to join our team. In this role, you will lead the Analytics and Automation function within the Investment Asset Infrastructure (IAI) Centre of Excellence (COE), supporting the design, implementation, and continuous enhancement of AIA’s Investment Asset Architecture (IAA). You will be responsible for delivering data analytics, workflow automation, and technology solutions that strengthen investment governance, operational controls, and the management of investment infrastructure across AIA Investments.

Combining hands-on technical expertise with people leadership, you will lead a team of developers to design and implement scalable solutions, drive automation initiatives, and deliver actionable insights through analytics and reporting. Working closely with stakeholders across Investments, Governance, Operations, and Technology, you will identify opportunities to improve efficiency, support evolving investment capabilities, and enhance the overall investment governance and operational control environment.

Key Responsibilities

As part of our high-performing team, you will:

1. Team Leadership & Technical Leadership

• Lead, coach and develop the Analytics & Automation developers, providing technical guidance, capability development and delivery oversight.
• Act as the technical lead for the function, establishing engineering standards, solution architecture and development best practices.
• Foster a culture of collaboration, continuous improvement, governance, risk awareness and engineering excellence.

2. Solution Delivery & Process Optimisation

• Lead the end-to-end delivery of analytics and automation solutions, from requirements gathering and solution design through implementation and continuous improvement.
• Design and implement reporting, analytics and workflow automation solutions that improve efficiency, scalability and operational controls.
• Conduct design and code reviews and ensure solutions are maintainable, secure and fit for purpose.

3. Data, Analytics & Automation Engineering

• Design, develop and maintain data pipelines, data models, dashboards and workflow automation solutions using Python, SQL, APIs, JavaScript and Microsoft Power Platform.
• Develop analytics and management reporting that provide actionable insights into operational performance, controls and data quality.
• Build tools and workflows that support investment governance processes, including mandates, governing documents and pre-trade controls.

4. Stakeholder Management & Business Partnership

• Partner with team leads covering mandates, governing documents and pre-trade controls to translate business requirements into effective technology solutions and prioritise development initiatives.
• Manage relationships and delivery dependencies across Asset Management Companies, Business Units, Group functions, vendors, auditors, consultants, and service providers.
• Represent the function in project and governance forums, providing clear updates on progress, risks, issues, and key decisions.

5. Technology Governance and Control

• Ensure all solutions comply with applicable technology, security, and governance requirements.
• Maintain appropriate documentation, controls, audit readiness, access management, and change governance across all analytics and automation solutions.

Minimum Requirements

We are looking for professionals who possess:

• Degree in Computer Science, Software Engineering, Data Science, Financial Engineering, Artificial Intelligence, or a related discipline.
• At least10 years of experience in software engineering, data engineering, analytics, automation, or technology delivery, including experience leading and developing technical teams.
• Strong hands-on expertise in Python, SQL, APIs, data integration, and the development of analytics, automation, workflow, and reporting solutions.
• Proven experience designing and delivering scalable data pipelines, applications, dashboards, and automation platforms, with a solid understanding of software engineering best practices, including architecture, testing, code reviews, release management, security, and production support.
• Demonstrated ability to balance people leadership with hands-on technical delivery, including solution design, troubleshooting, mentoring developers, and managing multiple concurrent initiatives.
• Strong stakeholder management, communication, and influencing skills, with the ability to translate business requirements and control objectives into practical and scalable technology solutions.
• Experience within asset management, investment management, investment operations, banking, financial risk, or other regulated financial services environments would be highly advantageous.
• Relevant professional certifications in cloud technologies, software engineering, data engineering, cybersecurity, CFA, FRM, PRM, actuarial science, or related disciplines would be preferred.
• Demonstrated ability to work independently, manage competing priorities, and deliver outcomes in a fast-paced environment.

Why Choose AIA?

Believe in better with AIA. If you work at AIA, you play an important part in this movement. Which is why we give you every opportunity to learn, grow and shape your career - your way!