Key Job Responsibilities and Duties:
Be responsible for the end-to-end delivery of a portfolio of data products. Design, develop and implement data products based on user needs and the company's product strategy and objectives.
Explore business opportunities, looking into opportunities on how we can better monetize our inventory.
Drive the development and implementation of ML-models helping our system perform more intelligently and more profitably day by day
Drive cross-functional collaboration with ML scientists, data engineers, data scientists, data managers and business stakeholders to ensure the delivery of consistent, high-quality data, data integration initiatives, and power our traveller-centric experiences.
Prioritise and communicate initiatives with key stakeholders on a regular basis to ensure that all projects and existing functionality are moving towards our defined OKRs.
Gather, analyse, and report on data usage, quality, data flows to benchmark and measure the performance of the data products. Striving to continuously improve end user data consumption experience.
Ideate, build, and run platform-level & partner-level incrementality experiments, holdout groups, and continuous data exploration for opportunities.
Qualifications & Skills:
A minimum of 5 years of experience as a Data Product Manager in a large-scale environment, preferably e-commerce or advertising
A proven track record of delivering successful data products for user consumption.
Experience in improving data workflows, components and data models - working closely with engineers and architects to design and deliver scalable data solutions
Strong communication skills - be able to communicate with the business at all levels and across disciplines - data specific, technical and non-technical. Ability to write clear and concise product goals, requirements, status updates and product results
Strong stakeholder management, collaboration and influencing skills - able to bring diverse stakeholders together to agree and move forward with an approach or plan.
Be highly analytical and methodical in your approach to problem solving, with a track record in developing methodologies to measure the delivery of data products that drive better decisions and understanding
Booking.com’s Total Rewards Philosophy is not only about compensation but also about benefits. We offer a competitive , as well unique-to-Booking.com benefits which include:
Annual paid time off and generous paid leave scheme including: parent, grandparent, bereavement, and care leave
Hybrid working including flexible working arrangements, and up to 20 days per year working from abroad (home country)
Industry leading product discounts - up to 1400 per year - for yourself, including automatic Genius Level 3 status and Booking.com wallet credit
Application Process:
Let’s go places together:
This role does not come with relocation assistance.
Pre-Employment Screening
If your application is successful, your personal data may be used for a pre-employment screening check by a third party as permitted by applicable law. Depending on the vacancy and applicable law, a pre-employment screening may include employment history, education and other information (such as media information) that may be necessary for determining your qualifications and suitability for the position.
