At a Glance
- Tasks: Lead data product vision and drive innovation in a dynamic team.
- Company: Join Aviva, a leader in data-driven solutions with a collaborative culture.
- Benefits: Competitive salary, generous pension, 29 days holiday, and flexible benefits.
- Other info: Inclusive workplace with opportunities for personal and professional growth.
- Why this job: Make a real impact on data products that enhance customer experiences.
- Qualifications: Experience in data product ownership and stakeholder engagement.
The predicted salary is between 50000 - 60000 £ per year.
Location: London (50% office attendance)
Salary: c. £50,000–£60,000 (depending on skills and experience)
Are you an experienced Data Product Owner looking for your next challenge? We have an exciting opportunity to join our data engineering team at Aviva where you will translate strategic data goals into deliverable and own the product vision to drive innovations that fuel Aviva’s data-driven future.
A bit about the job: At Aviva, data serves as the lifeblood that propels our organizations forward, and we are no exception. As a Data Product Owner within our esteemed Data Engineering team, you will be an indispensable force, seamlessly integrating into Aviva Quantum, our global hub for Data Science Excellence. Here, our focus spans across a spectrum of disciplines, encompassing Machine Learning, Analytics, Data Engineering, AI, and more.
Your role extends beyond the technical realm. You will serve as a beacon of innovation, guiding the evolution of our teams with an eye towards industry-leading approaches. Your collaborative spirit will drive forces as your teams engage with other areas of Aviva, ensuring the culmination of our efforts yields nothing less than the finest customer experience.
Skills and experience we’re looking for:
- Develop and maintain detailed data product vision and product roadmaps with clearly defined milestones, specific deliverables and alignment to strategic objectives
- Engage with technical and non-technical stakeholders to identify and analyse data needs, then transform them into opportunities, outcomes, and benefit cases
- Test and validate data products, using various methods for user acceptance testing
- Measure and evaluate the performance, impact, and user satisfaction of the data products using data-driven metrics and feedback mechanisms
- Develop and maintain Data Product controls, including but not limited to Data Product manifests and catalogue
What you’ll get for this role: Our purpose – with you today, for a better tomorrow – is a promise we make to our colleagues too. And one of the ways we live up to that promise is by investing in you. We have so much to offer when it comes to being an Aviva colleague.
- Starting salary between c. £50,000–£60,000 (depending on location, skills, experience, and qualifications)
- Bonus opportunity – actual amount depends on your performance and Aviva’s
- Generous pension scheme e.g. if you put in 8%, Aviva adds 14%
- 29 days holiday plus bank holidays, and you can choose to buy or sell up to 5 days
- Aviva-funded Private Medical Benefit to help you get expert support when you need it
- Up to 40% discount on Aviva products, and other retailer discounts
- Up to £1,200 of free Aviva shares per year through our Matching Share Plan and share in the success of Aviva with our Save As You Earn scheme
- Brilliantly supportive policies including parental and carer’s leave
- Flexible benefits to suit you, including sustainability options such as cycle to work
- Make a difference, be part of our Aviva Communities and use your 3 paid volunteering days to help others
- We take your wellbeing seriously with lots of support and tools
We’re inclusive and welcome everyone – we want applications from all backgrounds and experiences. Even if you don’t tick every box, we would still encourage you to apply. We also consider all forms of flexible working, including part time and job shares.
Data Product Owner Specialist in London employer: Aviva plc
At Aviva, we pride ourselves on being an exceptional employer, offering a vibrant work culture that fosters innovation and collaboration within our Data Engineering team. With a competitive salary, generous benefits including a robust pension scheme, and a commitment to employee growth through training and volunteering opportunities, we ensure that our colleagues thrive both personally and professionally in the heart of London. Join us to be part of a forward-thinking organisation that values your contributions and supports your journey towards a data-driven future.
StudySmarter Expert Advice🤫
We think this is how you could land Data Product Owner Specialist in London
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We think you need these skills to ace Data Product Owner Specialist in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at Aviva plc, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Aviva plc. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Aviva plc
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
