Data Product Manager
Reports to: Head of Product
Role type: Full Time
Location: Singapore (hybrid), China (on-site), Indonesia, India, Australia or New Zealand (remote)
About Atlas
Atlas is a pioneering force in the airline industry, committed to revolutionizing customer experiences and data insights. We are on the hunt for a Data Product Manager to join our vibrant team and steer the development of data-driven B2B applications within the airline ticketing sector.
About this role
Atlas is seeking a Data Product Manager with a strong background in data commercialization and product management. The ideal candidate will be responsible for leveraging data insights to empower our customers.
Key Responsibilities
– Develop and execute product strategies that harness data to enhance our customers usage, ensuring they are customer-centric and goal-oriented.
– Collaborate with cross-functional teams to design, prototype, and iterate on data-driven user interfaces that improve customer interaction and satisfaction.
– Conduct in-depth market research using data analytics to understand B2B customer behavior and preferences, focusing on customer experience principles.
– Manage the product lifecycle, utilizing data to inform decisions from conception through launch and post-launch analysis.
– Apply data analytics to measure the effectiveness of product enhancements and optimize product performance.
– Ensure that all product initiatives are informed by data insights and consider both user experience and technical feasibility.
Key Qualifications & Experiences
– Proven experience as a Data Product Manager, with a demonstrable track record of consumer-facing products.
– Strong command of the English language; proficiency in Chinese is a plus.
– Ability to work collaboratively in a fast-paced and diverse environment.
– Excellent problem-solving, organizational, and analytical skills, with a strong emphasis on data-driven decision making.
– A bachelor’s degree in a relevant field
– Experience with data warehousing, data lakes, and big data technologies.
– Knowledge of machine learning and artificial intelligence principles.
– Experience with data visualization tools (e.g., Tableau, Power BI).
– Familiarity with product management methodologies, such as Agile or Lean.
– Familiarity with airline ticketing industry.
If you are up for the challenge, please email us at careers@atlaslovestravel.com. Tell us a bit about yourself and why you are motivated to apply for this role, and please attach a recent (and relevant!) CV.
To apply for this job email your details to hr@atlaslovestravel.com