Data Product Manager - Insurance

Key Skills

Apache Hadoop, Apache Kafka, AWS, Effective communication skills, Machine learning techniques, Snowflake, SQL

Job Description

We began by taking hotel bookings online over 20 years ago and we've been shaping the travel industry ever since. Today, we're building a platform that connects all parts of the trip – from accommodation to transport, flights, tickets, tours and much more!From our hubs in Manchester, London, Amsterdam our Trips Business Unit helps people get where they want to go, anywhere in the world. Whether customers want the freedom of a car, the convenience of a flight, the ease of a taxi or the economy of public transport, we make it all possible.Our team is passionate about helping people travel. They see challenges as opportunities. And they’re always ready for change.Booking.com Insurance is the easiest way to protect your trip and travel with peace of mind. As part of our Connected Trip vision, Booking.com has ambitious growth plans for the insurance business as it looks to develop a global footprint of insurance product offerings across the Group. Through innovation, industry sector knowledge and clear customer focus, the team’s challenge is to substantially enhance the Insurance customer experience.Working in collaboration with leading industry partners, our insurance products are designed to give customers assurance they have the protection they need to allow them to relax and enjoy the trip - great value cover backed by a first class experience should they need to make a claim.Booking.com core values:Think customer firstSucceed togetherOwn ItLearn ForeverDo the Right Thing

Team Overview:

The Trips Data team at Booking.com looks after data for everything but the stay at Booking.com, enabling teams across the organisation to understand and manage our business performance and improve the experience of our customers through the data we manage and serve. This includes data platforms, data governance, data quality, data warehousing, data enablement, enrichment and machine learning functionality. The team is on an exciting journey to modernise our data estate and grow verticals and you’ll be joining the data team managing data enablement capabilities for the Insurance vertical.

Role Overview:

In this newly formed Insurance Data team, this role is responsible for delivering data solutions by gathering requirements and understanding user needs, finding opportunities to improve user experience, managing data transformation and ingestion and implementing data management best practices. You will be responsible for planning, resourcing, and delivering the roadmap for future data products and services for your area.We are looking for someone passionate about driving benefit through provision of reliable, accurate and compliant data solutions to data consumers to enable insight and data driven decision making and in meeting partner contractual and external regulatory data requirements. Who can support a team in creating great data products that enhance and harmonise our understanding of Trips customers and their needs across the business.

This is primarily an individual contributor role. As part of a tech company with data capabilities growing quickly, great talent can expect extensive opportunities for progression and development.

Key Job Responsibilities and Duties:

• Be responsible for the end-to-end delivery of data products. Design, develop and implement data products based on user needs and the company's product strategy and objectives.
• Develop a deep understanding of the current and future customer needs across all areas of the business.
• Work with the key stakeholders to lead the data modernisation for your product portfolio.
• Prioritise and communicate initiatives with key partners on a regular basis to ensure that all projects and existing functionality are moving towards our defined OKRs.
• Work with data engineers, governance, architects, product teams and operations to design and deliver resilient, compliant, high quality data products and services.
• Collect and understand the business data requirements for products and services by translating them into well defined epics, user stories and acceptance criteria.
• Manage Scrum, the release backlog and work with delivery teams to keep it up to date and efficient.
• 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.
• Actively participate in, and contribute to, the product networks and the craft community.

Role Qualifications and Requirements: 

• Have deep technical ability, experience with data requirements and delivering solutions in an ecommerce field.
• Have a proven track record of delivering successful data products for user consumption.
• Have great organisational skills, able to manage and deliver complex products and projects simultaneously and are able to flex when plans change.
• Rich experience of improving data workflows, components and data models - working closely with engineers and architects to design and deliver scalable data solutions.
• Good communication skills - be able to communicate with the business at all levels and across disciplines - data specific, technical and non-technical. Being able to write clear and concise product goals, requirements, status updates and product results.
• Strong stakeholder management, collaboration and influencing skills - able to bring diverse partners (cross - functional) together to agree and move forward with an approach or plan.
• Proficient in working within an Agile product-based organisation with good organisational and project management skills (leading and executing).
• 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.
• Comfortable querying data and performing analysis independently when required.
• Have a clear sense of ownership and deliver and maintain the highest quality across the solutions you produce.

Desirable Skills: 

• Good understanding of data management principles and best practice.
• Experience in Kafka, Hadoop, AWS, SQL, Power BI, Snowflake, machine learning platforms and services.
• Understanding the use of monitoring and analytical tools to improve performance 
• Understanding of e-commerce and travel business models.