Associate Director, Analytics and Automation (AIA Investment Management)

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

• 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.

• 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.

• 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. 

• 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. 

• 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.

We are looking for professionals who possess:

• Degree in Computer Science, Software Engineering, Data Science, Financial Engineering, Artificial Intelligence, or a related discipline.
• At least 10 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. 

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!

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