At a Glance
- Tasks: Lead risk management for Data, Analytics, and AI in a global organisation.
- Company: Join QBE, a diverse international insurer with a human touch.
- Benefits: Flexible working, competitive salary, and a supportive work environment.
- Other info: Collaborate with diverse teams across multiple time zones.
- Why this job: Make a meaningful impact while enhancing risk management capabilities.
- Qualifications: Experience in data, analytics, and AI risk management is essential.
The predicted salary is between 70000 - 90000 € per year.
Time Type: Full time
Worker Type: Employee
Please note: This role can be based in Sydney or London. We are recruiting across multiple locations and will consider candidates based in any of these regions. Relocation is not offered as part of this process - if successful, you will be hired in your current location. Having the right to work in the relevant territory is a requirement for this role. QBE may consider sponsorship at its discretion. Kindly indicate your current location clearly in your application.
The opportunity
We have an exciting opportunity to join our IT Risk function as a Senior Manager - Data, Analytics and AI Risk. We are seeking a self-driven individual with strong experience in developing, implementing and assuring Data, Analytics and AI risk and control frameworks, risk management and reporting. Reporting to the Global Head of IT Risk Management, you will play an active role in enhancing our risk management capability. You will support our Global Head of Data, Analytics and AI in establishing, implementing, and overseeing frameworks governing how QBE uses data, analytics, and AI. Acting as part of the first line of defence you will help ensure QBE’s AI initiatives are safe, compliant, ethical, and aligned with business strategy, while managing risks like bias, data quality and regulatory compliance. The role also manages the functions risk reporting pipeline, producing updates for senior management and governing Boards.
This is a great opportunity to:
- Be part of a global organisation where you can make a meaningful impact by supporting growth in a risk‐conscious manner.
- Learn from and collaborate with a diverse, dynamic group of colleagues and businesses.
This is a hands-on role with a strong emphasis on stakeholder engagement, working closely with teams and senior functional and business leaders to identify and utilise a broad range of data sources.
Your new role
- Provide Line 1 Risk view on Data, Analytics and AI Risks, including responding to evolving regulatory and industry expectations.
- Ensure effective Line 1 oversight and governance of the implementation and ongoing adherence to the Group policies and standards for Data, Analytics and AI.
- Provide leadership to the Group and Divisional teams to ensure policies and standards are translated into sound controls and assurance activities to enable effective risk management and timely escalation and resolution of material risks/issues.
- Work across the three lines of defence to develop and deliver the Data and AI Risk and Control framework and associated assessments.
- Establish and manage a clear cadence of risk governance forums to support identification, monitoring, remediation and reporting of risks and controls.
- Lead Risk & Control Self‐Assessment and assurance engagements with risk and control owners, ensuring work is well scoped, planned and delivered to a high standard, and produces reliable, high‐quality management information on risks, controls, issues and actions.
- Produce high‐quality, targeted risk reporting for senior management and governance forums, delivering clear narratives on key risks and concise updates on the status of risks, controls, issues and actions.
- Build strong partnerships with Line 2 Risk, Internal Audit, Privacy and Compliance to embed an integrated, end‐to‐end risk management approach.
This role is part of our Group division, with stakeholders based in different geographies and as a result requires flexibility to accommodate multiple time zones.
About you
- Practical experience in data, analytics and AI within a risk management, audit, compliance or control environment.
- Strong understanding of AI risk governance frameworks and evolving regulation, such as NIST AI RMF, the EU AI Act and GDPR.
- Proven ability to engage senior stakeholders and present complex risk insights as clear, compelling narratives.
- Comfortable operating in ambiguity, managing competing priorities and adapting to change.
- Background in Financial Services with experience navigating complex, federated global organisations.
- Experience in insurance, insurance broking or investment management would be advantageous.
- Working knowledge of recognised risk and control frameworks, such as NIST, ISO or COBIT, would be beneficial.
- Relevant qualifications in Risk Management, AI or Data Analytics, or strong reporting and analytics capability, would be well regarded.
Benefits
We offer a range of benefits to help provide holistic support for your work life, whatever your circumstances. As this role is part of a global team we are open to candidates based in Australia, North America and the United Kingdom. For further information on the benefits available in each region, please visit our careers website.
Rewards & Recognition
We are proud to be recognised for creating an inclusive and diverse workforce, which includes:
- Bloomberg Gender Equality Index 2018 – 2023 (global)
- Equileap Top 100 for Gender Equality (global)
- Stonewall 2022 Workplace Equity Index (QBE Europe)
- Gold Employer status for 2019, 2020 & 2021 by the Australian Workplace Equality Index (QBE Australia Pacific)
- Insurance Business America 2022 5-star carrier for Diversity, Equity and Inclusion (QBE North America)
APPLY NOW and let’s make it happen!
Click APPLY to submit your application. Successful applicants will need to complete work rights, police and credit checks through our online provider as a condition of employment. QBE recognises the value of diverse perspectives and experience. We are committed to an inclusive workplace where everyone feels valued and respected for who they are. If we can provide support with accessibility requirements and adjustments, alternative work arrangements or you would like to connect with one of our employee networks at any stage of the recruitment process, please contact us at recruitment@qbe.com.
Skills: Business Continuity, Coaching for success, Commercial Acumen, Communication, Critical Thinking, Influencing, Intentional collaboration, Managing performance, Navigating ambiguity, Negotiation, Policy Compliance, Regulatory Compliance, Risk Analysis, Risk Management, Stakeholder Management.
Application Close Date: 20/05/2026 11:59 PM
How to Apply: To submit your application, click "Apply" and follow the step by step process.
Equal Employment Opportunity: QBE is an equal opportunity employer and is required to comply with equal employment opportunity legislation in each jurisdiction it operates.
Location: London or Sydney
Type: Permanent, full time
Hybrid role, Happy to talk flexible working.
Senior Manager - Data, Analytics and AI Risk Management employer: QBE Insurance Group
QBE is an exceptional employer that fosters a dynamic and inclusive work culture, allowing employees to make a meaningful impact within a global organisation. With a strong emphasis on professional growth, QBE offers diverse opportunities for collaboration and learning, particularly in the rapidly evolving fields of data, analytics, and AI risk management. Employees benefit from a supportive environment that values diversity and innovation, making it an ideal place for those seeking rewarding careers in a flexible and forward-thinking setting.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Manager - Data, Analytics and AI Risk Management
✨Tip Number 1
Network like a pro! Reach out to people in your industry on LinkedIn or at events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Prepare for interviews by researching the company and its culture. Tailor your answers to show how you fit into their vision, especially around data and AI risk management.
✨Tip Number 3
Practice your storytelling skills. Be ready to share specific examples of how you've tackled challenges in data and analytics risk. Make it engaging!
✨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, we love seeing candidates who are proactive.
We think you need these skills to ace Senior Manager - Data, Analytics and AI Risk Management
Some tips for your application 🫡
Be Clear About Your Location:Make sure to clearly indicate your current location in your application. This helps us understand where you're based and ensures we can consider you for the right opportunities.
Tailor Your Application:Take the time to tailor your CV and cover letter to highlight your experience in data, analytics, and AI risk management. We want to see how your skills align with what we're looking for!
Showcase Your Stakeholder Engagement Skills:Since this role involves a lot of collaboration, make sure to showcase your experience in engaging with senior stakeholders. We love seeing examples of how you've communicated complex ideas effectively.
Apply Through Our Website:Don't forget to apply through our careers website! It’s the best way to ensure your application gets to us directly and is considered promptly.
How to prepare for a job interview at QBE Insurance Group
✨Know Your Stuff
Make sure you brush up on your knowledge of data, analytics, and AI risk management frameworks. Familiarise yourself with regulations like the NIST AI RMF and GDPR, as these will likely come up in conversation. Being able to discuss these topics confidently will show that you're serious about the role.
✨Engage with Stakeholders
Since this role involves a lot of stakeholder engagement, practice how you present complex risk insights in a clear and compelling way. Think of examples from your past experiences where you've successfully communicated with senior stakeholders and be ready to share those stories.
✨Show Your Adaptability
The job description mentions navigating ambiguity and managing competing priorities. Prepare to discuss times when you've had to adapt to change or handle multiple tasks at once. This will demonstrate your ability to thrive in a dynamic environment.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the current challenges the team faces in implementing AI risk frameworks or how they measure success in risk management. This shows your genuine interest in the role and helps you gauge if it's the right fit for you.
