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Senior Product Manager, Data Products
3 weeks ago
**About Agoda**
Agoda is an online travel booking platform for accommodations, flights, and more. We build and deploy cutting-edge technology that connects travelers with a global network of 4.7M hotels and holiday properties worldwide, plus flights, activities, and more. Based in Asia and part of Booking Holdings, our 7,100+ employees representing 95+ nationalities in 27 markets foster a work environment rich in diversity, creativity, and collaboration. We innovate through a culture of experimentation and ownership, enhancing the ability for our customers to experience the world.
**Our Purpose -**Bridging the World Through Travel**
We believe travel allows people to enjoy, learn and experience more of the amazing world we live in. It brings individuals and cultures closer together, fostering empathy, understanding and happiness.
We are a skillful, driven and diverse team from across the globe, united by a passion to make an impact. Harnessing our innovative technologies and strong partnerships, we aim to make travel easy and rewarding for everyone.
**A**bout the Role**
As a Data Product Manager, you will play a critical role in shaping and delivering data products and projects that power decision-making, monitoring, and innovation across the business. You will define product vision, manage roadmaps, and collaborate with cross-functional teams to build scalable, reliable, and user-centric data solutions. Your strategic thinking and product sense will help elevate our data platform capabilities and maximize business impact through data.
**What**You'll** Do**
**_ P_**_roduct Leadership & Strategy_**
- Define clear goals, success metrics, and KPIs to measure the value and impact of data products/projects.
- Lead the end-to-end lifecycle of data projects, from discovery and requirements gathering to release and continuous improvement.
- Develop and manage the product roadmap in close collaboration with engineering, analytics, business and product stakeholders.
- Identify opportunities to create or enhance data products that solve real user problems and unlock business value.
- Ensure alignment between product initiatives and broader business strategy.
**_Stakeholder Management_**
- Serve as the primary point of contact for all stakeholders on all things related to data and analytics.
- Organize and gather requirements, and ensure alignment across business analysts, product teams, account managers, and partners.
- Communicate product vision, timelines, trade-offs, and progress effectively to technical and non-technical audiences.
- Drive decision-making by presenting clear data product insights, feasibility considerations, and business value assessments.
**_Execution & Delivery Support_**
- Collaborate with data engineers, and BI analysts to deliver robust data solutions (e.g., datasets, dashboards, APIs, reporting).
- Ensure clear documentation of product requirements, user stories, and acceptance criteria.
- Prioritize development efforts based on impact, feasibility, and user needs.
- Oversee data validation, testing, and release processes to ensure high-quality delivery.
**_Data Governance & Quality_**
- Promote data governance best practices, including consistent definitions, data lineage, and metadata management.
- Monitor data product performance and quality post-release, and coordinate improvements as needed.
- Ensure compliance with data security, privacy, and compliance standards across all data product initiatives.
**_Process Improvement_**
- Identify and implement opportunities to streamline data product development and delivery processes.
- Advocate for product and data best practices within cross-functional teams.
- Foster a culture of collaboration, user-centricity, and continuous learning in how data products are developed and used.
**What**You'll** Need to Succeed**
- Bachelor's degree in Information Systems, Computer Science, Business, or related field (or equivalent experience).
- Proven experience in product management, ideally focused on data platforms, analytics tools, or data infrastructure.
- Strong understanding of data pipelines, data modeling, and analytics workflows.
- Excellent communication skills (verbal and written), with an ability to translate complex technical concepts into business-friendly language.
- Proactive, analytical, and user-focused approach to problem-solving.
- Familiarity with agile methodologies and product management tools (e.g., Jira, Confluence, Trello).
- Ability to thrive in a collaborative, fast-paced environment and balance multiple priorities effectively.
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