At a Glance
- Tasks: Lead innovative data products and steer cross-functional teams in healthcare.
- Company: Join AXA, a leader in healthcare innovation and data management.
- Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic role with a focus on collaboration and emerging technologies.
- Why this job: Shape the future of healthcare with AI and data-driven decision-making.
- Qualifications: Experience in data product management and strong leadership skills.
The predicted salary is between 60000 - 75000 £ per year.
AXA is seeking a Senior Data Product Manager to lead the data journey within Medical Claims and Care Provision.
You will steer cross-functional teams to deliver innovative data products and set the strategic vision for data-driven decision-making, while embedding data governance and mesh principles.
You will champion emerging technologies like AI, ensure regulatory compliance, and align data initiatives with business goals, balancing delivery with team development and stakeholder collaboration.
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Senior Data Product Manager, Healthcare Data Mesh & AI in Bristol employer: AXA Group
AXA is an exceptional employer, offering a supportive and dynamic work environment in Tunbridge Wells for nurses looking to make a meaningful impact. With a strong focus on employee growth, we provide comprehensive training, flexible working arrangements, and the opportunity to work from home, ensuring a healthy work-life balance. Join our dedicated health support team and enjoy the benefits of being part of a global leader in insurance, where your contributions truly matter.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Product Manager, Healthcare Data Mesh & AI in Bristol
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Senior Data Product Manager, Healthcare Data Mesh & AI in Bristol
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 AXA Group, 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 AXA Group. 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 AXA Group
✨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.
