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Australian Retirement Trust
Join Australian Retirement Trust as our Senior Portfolio Manager - Investment Data Services. Lead the strategy, governance and evolution of investment data capabilities that power better decision-making across our Inv…
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About the role
Join Australian Retirement Trust as our Senior Portfolio Manager - Investment Data Services. Lead the strategy, governance and evolution of investment data capabilities that power better decision-making across our Investments business. Sitting at the intersection of investments, data and technology, you'll drive innovation across data governance, model risk management, automation and AI-enabled workflows, while leading a high-performing team and influencing stakeholders across the organisation.
Description
We're all about helping our members make the most of their money. And while they go after their goals, you can too. As a Senior Portfolio Manager - Investment Data Services, you'll provide strategic leadership across investment data governance, model risk management and portfolio intelligence automation. You'll play a critical role in ensuring investment data is trusted, governed and leveraged effectively to support investment outcomes, operational excellence and robust risk management.Working within our Defensive and Liquid Assets and Portfolio Intelligence team, you'll establish and execute a cohesive data strategy that integrates governance, analytics, automation and emerging AI capabilities across the investment lifecycle. You'll partner with investment, technology and risk leaders to deliver scalable solutions that enhance insights, efficiency and decision-making across a complex investment environment.You'll also lead and inspire a multidisciplinary team, fostering a culture of innovation, continuous improvement and high performance while ensuring strong governance, compliance and oversight practices are embedded throughout the function.This role is a permanent opportunity and is based in Brisbane or Sydney.Responsibilities
Day to day, you'll:Lead and execute the Investment Data Services strategy across data governance, model risk management and portfolio intelligence automation.Build, coach and develop a high-performing multidisciplinary team focused on innovation and delivery excellence.Establish and embed robust investment data governance frameworks, including data quality, metadata, lineage and business glossary management.Oversee investment model risk management practices, including validation, governance and performance monitoring.Drive the development and adoption of AI-enabled and automated workflows that improve operational efficiency and investment decision-making.Partner with internal and external stakeholders to deliver integrated data, analytics and automation solutions.Ensure strong governance, controls and compliance aligned to regulatory expectations and organisational risk frameworks.Influence senior leaders across investments, technology and risk to achieve strategic outcomes.Qualifications
It goes without saying you'll be a great communicator with top notch interpersonal skills. We'll also expect you to pick up problems and come up with quick, creative ways to solve them. It's quite likely you tick some of the following boxes too:You bring extensive experience within investments, asset management or financial services, coupled with strong exposure to data, analytics or technology.Your track record includes leading teams across data governance, model risk management, analytics or automation functions.You'll have deep knowledge of investment processes, asset classes and the role data and models play in decision-making.You're experienced in establishing and operating data governance frameworks, including data quality, metadata, lineage and standards.You have demonstrated expertise in model validation, governance and performance monitoring practices.Your understanding of modern data platforms, cloud technologies, APIs and workflow automation is highly developed.You'll be confident influencing senior stakeholders and building trusted relationships across complex environments.You're experienced in applying AI, machine learning or automation solutions within investment or data-driven functions.You have familiarity with platforms such as Bloomberg, Aladdin, FactSet, Snowflake, Power Platform or similar technologies.Your knowledge of data management, governance and regulatory expectations strengthens your ability to manage risk effectively.About us
Our 2.4 million members trust us to take care of around $375 billion in retirement savings. And we help them take charge of their finances and face the future with confidence. Our inclusive culture means you'll be valued and heard in a respectful workplace. We've created an environment where you can be yourself and do amazing work. It's that simple.Everyone is welcome to apply. We value diverse thinking, cultures, perspectives, backgrounds, and abilities. Awaken your career at Australian Retirement Trust and apply now. Applications close Sunday, 13 September 2026.We don't want to leave you with a monstrous wait. So, you'll hear from us after the closing date to find out whether you've made it through to the next round or not. Being fair and up-front is important to us - and recruitment is no different.Why join us?
Bring your potential to Australian Retirement Trust and unleash our monster possibilities:You'll get 14% super as standard, to help your future come alive.Build a career to be proud of through excellent training and development opportunities.Balance your work between in-person days at our purpose-built hubs and working from home.In the office, enjoy end of trip facilities, a yoga and multi-faith room, parent and carer rooms, quiet rooms, BrewHub coffee facilities, and collaborative team spaces.We use technology, including artificial intelligence (AI), to support parts of our recruitment process - such as reviewing applications, supporting screening interviews, reference checking, and matching skills to roles. All final hiring decisions are made by people.By applying, you agree to the use of these technologies as part of the recruitment process.
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