At a Glance
- Tasks: Lead data delivery projects and collaborate with teams to drive analytics and AI integration.
- Company: Join QBE, a global insurer with a human touch and a focus on innovation.
- Benefits: Enjoy 30 days holiday, flexible working options, and a generous pension plan.
- Other info: Be part of a supportive team that values growth and development.
- Why this job: Make a real impact in a dynamic environment while developing your career in data and analytics.
- Qualifications: Experience in data delivery and strong stakeholder engagement skills are essential.
The predicted salary is between 60000 - 75000 £ per year.
Location: London
Type: Permanent, full time
Flexible working: Happy to talk flexible working
The Opportunity
QBE Europe is recruiting a Data Delivery Manager to join the EO Data & Analytics function and partner with a defined business value stream. As part of QBE EO’s transformation journey, this role helps embed data, analytics and AI into day-to-day decision-making, operational performance and regulatory outcomes.
The Data Delivery Manager is accountable for turning agreed value stream priorities into a clear, governed data delivery roadmap, and for maintaining oversight of progress, risks and dependencies through to delivery and adoption. Working closely with business stakeholders and Data & Analytics delivery teams, the role ensures delivery is aligned to strategy, follows appropriate governance, and demonstrates measurable value.
Having the right to work in the UK is a requirement for this role. QBE may consider sponsorship at its discretion.
Your New Role
- As a Data Delivery Manager, you will be accountable for end-to-end demand-to-delivery management for your assigned value stream, working in partnership with Business and Data & Analytics stakeholders.
- Act as the primary data & analytics partner for an assigned business value stream, maintaining strong stakeholder relationships and a clear understanding of priorities, demand and current challenges.
- Own the intake and shaping process for data and analytics demand in line with defined business objectives and priorities.
- Manage and prioritise the data delivery backlog across Run and Change, ensuring solutions and processes are robust, scalable and sustainable, maintaining a clear view of capacity, sequencing, dependencies and trade-offs.
- Ensure the value stream follows agreed Data & Analytics delivery standards, templates and ways of working (including analysis and BI deliverables), and improve these where appropriate.
- Work with data quality analysts and domain SMEs to identify material data issues impacting the value stream, prioritise remediation items, and elevate risks where required.
- Lead a team of analysts and data professionals within the value stream by setting clear objectives, allocating work, and ensuring high-quality outcomes.
- Coach and develop team members through regular 1:1s, mentoring and performance feedback, supporting capability growth and career progression.
- Ensure delivery activities align with audit, risk and control requirements maintaining appropriate documentation and escalating issues in line with governance.
- Define, track and report success metrics to demonstrate the business value delivered by data products and initiatives.
- Provide regular updates on progress, risks, issues and dependencies, proposing options and actions where trade-offs are required.
- Support resource planning with other Data Delivery Managers and the Data Strategy & Operations Manager, helping manage capacity constraints across value streams.
- Support the adoption of delivered analytics, insights and AI solutions within your value stream by working closely with Business Change Managers and Data Adoption Lead.
- Maintain a working understanding of QBE’s AI governance policies and processes and support the value stream to operate in line with them.
- Maintain visibility of AI and advanced analytics use cases within the value stream, (planned and delivered), including documentation status, controls and value being realised.
- Support business stakeholders to understand AI governance requirements (e.g., controls, audit expectations and responsible use), escalating material risks or gaps where required.
About You
- Experience supporting the delivery of data, analytics or technology initiatives within a complex organisation.
- Experience leading or supervising analysts or delivery team members, with a focus on coaching and capability development.
- The ability to translate business needs into clear and actionable data and analytics requirements.
- Experience working in agile, product or value‑stream‑based delivery environments.
- Strong stakeholder engagement skills, with the confidence to work with a range of business and technical partners.
- A solid understanding of data, analytics and AI concepts, including basic governance and risk considerations.
- Clear communication skills, with the ability to explain delivery progress and outcomes to both technical and non‑technical audiences.
Skills & Experience Desirable
- Experience working within financial services or regulated environments.
- Exposure to data governance, data quality, lineage or metadata management practices.
- Experience supporting analytics or reporting platforms (e.g. BI tools, data warehouses, cloud data platforms).
- Familiarity with tracking benefits realisation and delivery success metrics.
- Experience working across multiple delivery teams or value streams simultaneously.
- Experience supporting learning and development plans or career progression for analysts.
- An interest in emerging analytics and AI capabilities and their responsible application in a business context.
Benefits
We offer a range of benefits to help provide holistic support for your work life, whatever your circumstances. As a QBE employee you will have access to and benefit from:
- 30 days holiday a year with the option to buy up to 2 additional days.
- Flexible working—balancing work and life is important so our flexible working opportunities are open to all, this can include part‑time, job share and compressed hours.
- Pension – you are automatically enrolled into the QBE pension plan, which entitles you to receive employer contributions of 10% of your basic salary.
Equal Employment Opportunity
QBE is an equal opportunity employer and is required to comply with equal employment opportunity legislation in each jurisdiction it operates.
Data Delivery Manager in London employer: QBE
QBE is an exceptional employer that fosters a collaborative and inclusive work culture, where employees are empowered to make a meaningful impact in their roles. With flexible working arrangements, generous holiday allowances, and a strong commitment to employee development, QBE provides ample opportunities for growth and career progression. Located in London, you will be part of a dynamic team dedicated to integrating data and analytics into decision-making processes, all while enjoying the benefits of working for a global leader in the insurance industry.
StudySmarter Expert Advice🤫
We think this is how you could land Data Delivery Manager in London
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even casual coffee chats. Building relationships can open doors to opportunities that aren’t even advertised.
✨Show Off Your Skills
Don’t just tell them what you can do—show them! Create a portfolio or a project that highlights your data delivery skills. This gives potential employers a tangible sense of what you bring to the table.
✨Ace the Interview
Prepare for those interviews by practising common questions and scenarios related to data delivery management. Be ready to discuss how you’ve tackled challenges in the past and how you can add value to their team.
✨Apply Through Our Website
When you find a role that excites you, 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 genuinely interested in joining us!
We think you need these skills to ace Data Delivery Manager in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the Data Delivery Manager role. Highlight your experience with data, analytics, and stakeholder management. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you're passionate about this role and how you can contribute to our transformation journey. Keep it engaging and relevant to the job description.
Showcase Your Achievements:Don’t just list your responsibilities; showcase your achievements! Use metrics and examples to demonstrate how you've added value in previous roles. We love seeing tangible results!
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and keep track of it. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at QBE
✨Know Your Data Inside Out
As a Data Delivery Manager, you'll need to demonstrate a solid understanding of data, analytics, and AI concepts. Brush up on the latest trends and be ready to discuss how you've applied these in previous roles. This will show your potential employer that you're not just familiar with the jargon but can also translate business needs into actionable insights.
✨Engage Stakeholders Effectively
Strong stakeholder engagement skills are crucial for this role. Prepare examples of how you've successfully managed relationships with both technical and non-technical partners. Think about specific challenges you faced and how you navigated them to ensure alignment on project goals.
✨Showcase Your Leadership Skills
You'll be leading a team of analysts, so it's important to highlight your experience in coaching and developing team members. Be ready to share specific instances where you've set clear objectives, allocated work effectively, and ensured high-quality outcomes. This will demonstrate your capability to lead and inspire a team.
✨Prepare for Agile Discussions
Since the role involves working in agile environments, brush up on agile methodologies and be prepared to discuss how you've implemented these in past projects. Share examples of how you've managed backlogs, prioritised tasks, and adapted to changing requirements to deliver value efficiently.
