Data Product Manager

Jakarta

tiket.com

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We think you also hate when travel app is giving you a headache, right? A slight misinformation can ruin the trip.That is exactly what we are tackling as t-fam! Making sure that our 50+ million users have the best experience in crafting their own adventure.
As a Data Product Manager, you will play a key role in managing data platform products and ensuring they align with business objectives. You will work closely with cross-functional teams to support data-driven initiatives, improve data accessibility, and enhance data-driven decision-making. This role requires a strong mix of business understanding and technical knowledge to prioritize and deliver data-related features effectively.

Your main duties in flying with us:

  • Support the management and development of data products.
  • Define the data product strategy and roadmap.
  • Collaborate with stakeholders to gather requirements and balance business needs with technical feasibility.
  • Contribute to the documentation of data products to ensure clarity and usability.
  • Work with data engineering and analytics teams to improve data accessibility and usability.
  • Help translate large data initiatives into actionable deliverables.
  • Assist in running beta and pilot programs for new features.
  • Support problem-solving for data-related challenges and enhancements.

Mandatory belongings that you must prepare:

  • At least 2-4 years of experience in data product, or related field
  • Experience working with Agile or Kanban methodologies.
  • Prior experience managing data-related products or projects.
  • Strong communication and problem-solving skills.
  • Ability to collaborate with stakeholders across teams.
  • Some experience with cloud platforms (preferably GCP) and data product stacks.
  • Familiarity with data storage, pipelines, and dashboards.
  • Working knowledge of SQL scripting and data integration.
  • Basic understanding of API integration concepts (SOAP, REST, JSON, XML).
  • Willingness to work in a hybrid environment (3 days in-office, 2 days remote). 
In the event that you haven’t received any updates after 3 weeks, your data will be kept and we may contact you for another career destination. Meanwhile, discover more about tiket.com on InstagramLinkedIn, or YouTube.
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Agile APIs Engineering GCP JSON Kanban Pipelines SQL XML

Perks/benefits: Career development

Region: Asia/Pacific
Country: Indonesia

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