At a Glance
- Tasks: Lead data product vision and drive innovations in a dynamic data engineering team.
- Company: Join Aviva, a leader in data-driven solutions with a collaborative culture.
- Benefits: Competitive salary, generous pension, 29 days holiday, and flexible working options.
- Other info: Inclusive workplace with opportunities for personal growth and community support.
- Why this job: Make an impact on cutting-edge data projects and enhance customer experiences.
- Qualifications: Experience in data product management and strong stakeholder engagement skills.
The predicted salary is between 50000 - 60000 £ per year.
Location: London with 50% office attendance
Salary: c. £50,000 - £60,000 depending on skills and experience
Overview
We have an exciting opportunity to join our data engineering team at Aviva where you will translate strategic data goals into deliverables and own the product vision to drive innovations that fuel Aviva’s data-driven future. 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. Your focus will span across Machine Learning, Analytics, Data Engineering, AI, and more. Your role extends beyond the technical realm, guiding the evolution of our teams with industry-leading approaches and ensuring the culmination of our efforts yields the finest customer experience.
Responsibilities & Qualifications
- Develop and maintain a 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 product manifests and catalogue.
Benefits
- 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, with the option to buy or sell up to 5 days.
- Aviva-funded private medical benefit.
- Up to 40% discount on Aviva products, and other retailer discounts.
- Up to £1,200 of free Aviva shares per year through the Matching Share Plan and share in the success of Aviva with the 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.
- Paid volunteering days – 3 days to help others.
- Well-being support and tools.
Aviva is for everyone
We’re inclusive and welcome everyone – we want applications from all backgrounds and experiences. Even if you don’t tick every box, we encourage you to apply. We also consider all forms of flexible working, including part time and job shares. We flex locations, hours and working patterns to suit our customers, business, and you. Most of our people are smart working – spending around 50% of their time in our offices every week.
Data Product Owner Specialist employer: Aviva
Aviva is an exceptional employer that fosters a culture of innovation and inclusivity, making it an ideal place for a Data Product Owner Specialist to thrive. With a strong focus on employee growth, Aviva offers generous benefits including a competitive salary, extensive holiday allowance, and a supportive work environment that encourages flexible working arrangements. Located in London, the company provides unique opportunities to engage with cutting-edge data technologies while contributing to a data-driven future that prioritises customer experience.
StudySmarter Expert Advice🤫
We think this is how you could land Data Product Owner Specialist
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Aviva!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Product Owner Specialist at Aviva.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Aviva.
✨Apply Directly through Our Website
When you find a suitable opening like Data Product Owner Specialist at Aviva, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Product Owner Specialist
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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Aviva, 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. 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
✨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!
✨Showcase Your Projects
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
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Aviva!
✨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.
