At a Glance
- Tasks: Lead data-driven product strategies and collaborate with cross-functional teams in an Agile environment.
- Company: Join Amadeus, a leader in tech innovation and diversity.
- Benefits: Full-time role with competitive salary and inclusive culture.
- Other info: Opportunity to thrive in a diverse and inclusive workplace.
- Why this job: Shape the future of travel tech while driving impactful AI solutions.
- Qualifications: Experience in Product Management, especially in the Airline or Airport domain.
The predicted salary is between 59400 - 72600 £ per year.
Job Title Data Product Manager6–12 years of overall professional experience, with relevant experience in Product Management, Product Ownership, or Technical Product Management.
Mandatory experience in the Airline or Airport domain.
Strong knowledge or experience in Supply Chain Management.
Good understanding and working knowledge of Data Platforms and data-driven products.
Familiarity with AI capabilities and their application in product development and customer/business use cases.
Experience or exposure to AI-driven prototyping, using AI capabilities/tools to rapidly conceptualize, prototype, validate, and iterate new product ideas and features.
Strong experience in Product Strategy, Product Vision, Product Roadmap, MVP Definition, and Feature Prioritization.
Experience in value proposition development, competitive analysis, and product positioning.
Strong stakeholder management and cross-functional collaboration skills.
Experience working closely with R&D / Engineering teams in an Agile environment.
Understanding of Agile / SAFe, PI Planning, Product Owner responsibilities, and Release Management.
Diversity & Inclusion Amadeus aspires to be a leader in Diversity and Inclusion in the tech industry, enabling every employee to reach their full potential by fostering a culture of belonging and fair treatment, attracting the best talent from all backgrounds, and as a role model for an inclusive employee experience.
Amadeus is an equal opportunity employer and committed to an accessible recruitment process.
All qualified applicants will receive consideration for employment without regard to gender, race, ethnicity, sexual orientation, age, beliefs, disability or any other characteristics protected by law.
Be aware of recruitment scams Amadeus Group never charges fees, requests payment, or asks for financial information during recruitment.
All legitimate opportunities are communicated solely through official Amadeus channels, including our careers website.
Any payment request or outreach via unofficial platforms (e. g., Whats App, Telegram) should be treated as fraudulent.
- Summary
- Type: Full time
Data Product Manager employer: Amadeus
Amadeus is an excellent employer that fosters a culture of innovation and collaboration, making it an ideal place for IT professionals to thrive. With a strong commitment to employee growth, you will have access to continuous learning opportunities and the chance to work on impactful projects in a dynamic environment. Located in a vibrant area, Amadeus offers a supportive workplace where your contributions are valued, and your career can flourish.
StudySmarter Expert Advice🤫
We think this is how you could land Data Product Manager
✨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 Amadeus!
✨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 Manager at Amadeus.
✨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 Amadeus.
✨Apply Directly through Our Website
When you find a suitable opening like Data Product Manager at Amadeus, 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 Manager
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 Amadeus, 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 Amadeus. 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 Amadeus
✨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 Amadeus!
✨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.
