At a Glance
- Tasks: Lead data transformation and ensure high-quality investment data delivery.
- Company: Join AustralianSuper, a global leader in investment with a purpose-driven culture.
- Benefits: Enjoy flexible hybrid working, generous leave, and health insurance.
- Why this job: Make a real impact on investment data enablement and drive innovation.
- Qualifications: Experience in data management, strong communication skills, and proficiency in Python and SQL.
- Other info: Collaborative environment with opportunities for professional growth and development.
The predicted salary is between 36000 - 60000 ÂŁ per year.
Location: Kings Cross London, UK (Hybrid Working)
Employment Type: Full-Time
We are a global investment leader committed to delivering better outcomes for millions of members. If you’re someone who thrives in a collaborative, forward‑thinking environment and wants to help shape the future of investment data enablement, this could be the perfect opportunity to make your mark in our growing London office. At AustralianSuper, we’re more than a super fund—we’re a purpose‑driven organisation helping members achieve their best financial position in retirement. As we expand our global footprint, we’re seeking an experienced and passionate Product Owner to join our Investment Data Enablement team. You’ll play a pivotal role in driving data transformation and enabling high‑quality data delivery across our investment ecosystem.
The Role
As a Product Owner, you’ll ensure high‑quality, timely, and accurate investment data is delivered to the Investment Department and Analytical Insight Team. Working within our newly formed Data Services division, you will influence data acquisition, mastering, governance, and production processes—helping to uplift data management capability across the Fund. You’ll collaborate with cross‑functional teams, guide junior analysts, and support the operationalisation of data governance standards across the organisation. This role is perfect for someone who enjoys solving complex data challenges and enabling data‑driven decision‑making at scale.
Key Responsibilities
- Data Leadership & Enablement
- Lead cross‑functional collaboration to gather, validate, and translate business requirements across data acquisition, mastering, and production.
- Establish and champion high standards for data quality, accuracy, lifecycle management, and governance.
- Act as SME for IBOR hub schema design, configuration, and testing—providing guidance to production teams in BAU.
- Lead fitness‑for‑purpose assessments of data sources to ensure alignment with business needs.
- Collaborate with vendors on the design, build, and integration of data pipelines; oversee technical validation efforts.
- Negotiate and define data packages—datasets, filters, transformations and SLAs—tailored to stakeholder requirements.
- Support service level management and exception management processes, ensuring operational consistency.
- Facilitate rules design and documentation across data acquisition, mastering, and production processes.
- Contribute to data stewardship through metadata management and business term development.
- Mentor and guide junior analysts in new data systems, platforms, and best‑practice processes.
- Lead triage and prioritisation of change initiatives, ensuring alignment with enterprise data goals.
- Promote continuous improvement through automation and process optimisation, including Power Automate workflows.
Who We’re Looking For
You’re a seasoned investment data professional with a strong background in asset management or asset ownership. You bring deep experience with investment data systems, financial instruments, and data management practices, and you thrive in environments where you can influence, innovate, and lead. We’re particularly interested in candidates with:
- Experience as a Product Owner for data management or aggregation platforms.
- Strong understanding of IBOR/ABOR, financial instruments, and investment data structures.
- Proficiency in Python (including API packages), SQL, Power BI, and Power Automate.
- Familiarity with Azure, Informatica, LUSID, and data warehouse/ETL concepts.
- Excellent communication, stakeholder management, and problem‑solving skills.
Why Join Us?
At AustralianSuper, we believe in progress powered by purpose. We offer:
- Flexible hybrid working
- A supportive, inclusive culture
- Opportunities for professional growth and development
- The chance to work with global teams to shape the fund’s data future
- A competitive benefits package, including generous leave, retirement contributions, and health insurance
Our values—Energy, Integrity, Generosity of Spirit, and Excellent Outcomes—guide everything we do. We welcome diverse perspectives and are committed to helping you thrive.
What’s Next?
If you’re ready to take the next step and make a meaningful impact, we’d love to hear from you. We’re committed to building an inclusive workforce and are happy to discuss reasonable adjustments throughout the recruitment process. Progress, powered by purpose.
Product Owner - Data Enablement (Data Services) employer: Australian Super
Contact Detail:
Australian Super Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Product Owner - Data Enablement (Data Services)
✨Tip Number 1
Network like a pro! Reach out to current employees at AustralianSuper on LinkedIn. Ask them about their experiences and any tips they might have for landing the Product Owner role. Personal connections can make a huge difference!
✨Tip Number 2
Prepare for the interview by brushing up on your knowledge of investment data systems and financial instruments. Be ready to discuss how your experience aligns with the responsibilities of the role, especially around data governance and quality.
✨Tip Number 3
Showcase your problem-solving skills! Think of specific examples where you've tackled complex data challenges in the past. This will demonstrate your ability to thrive in a collaborative environment and influence data-driven decision-making.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the team at AustralianSuper.
We think you need these skills to ace Product Owner - Data Enablement (Data Services)
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience with investment data systems and your role as a Product Owner. We want to see how your skills align with our needs, so don’t hold back on showcasing your relevant achievements!
Showcase Your Data Skills: Since this role is all about data enablement, be sure to emphasise your proficiency in Python, SQL, and any other relevant tools. We love seeing candidates who can demonstrate their technical expertise and how it can benefit our investment ecosystem.
Highlight Collaboration Experience: We’re looking for someone who thrives in a team environment, so share examples of how you’ve successfully collaborated with cross-functional teams in the past. This will show us that you can effectively engage stakeholders and lead initiatives.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensure you’re considered for the role. Plus, it shows you’re keen on joining our purpose-driven organisation.
How to prepare for a job interview at Australian Super
✨Know Your Data Inside Out
As a Product Owner in Data Enablement, it's crucial to have a solid grasp of investment data systems and financial instruments. Brush up on your knowledge of IBOR/ABOR and be ready to discuss how you’ve previously influenced data management practices.
✨Showcase Your Collaboration Skills
This role requires leading cross-functional teams, so be prepared to share examples of how you've successfully collaborated with different stakeholders. Highlight any experiences where you gathered and translated business requirements into actionable data strategies.
✨Demonstrate Problem-Solving Prowess
Expect questions that test your ability to solve complex data challenges. Prepare specific examples where you’ve tackled data quality issues or optimised processes, showcasing your analytical skills and innovative thinking.
✨Familiarise Yourself with Tools and Technologies
Since proficiency in Python, SQL, Power BI, and Azure is key for this position, make sure you can discuss your experience with these tools confidently. Consider preparing a mini-project or example that demonstrates your technical skills in action.