OKX Logo

OKX

Senior Data Product Manager, CEO Office

Reposted 10 Days Ago
Be an Early Applicant
In-Office
Singapore
Senior level
In-Office
Singapore
Senior level
As a Senior Data Product Manager at OKX, you will prioritize data requests, collaborate with teams to improve operational efficiency, and drive data governance initiatives to empower business growth.
The summary above was generated by AI
OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa.
Who We Are
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me, Do the Right Thing, and Get Things Done. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.
 
About the Opportunity: 
OKX CEO Office's Data Product team is seeking a Senior Data Product Manager who is responsible for both internal data services as well as data requests from various business lines, and eventually improving the efficiency and experience of data users company-wide.
 
What You’ll Be Doing
  • Data Product Design & Management: Responsible for the product design of in-house data tools, such as metrics management system, feature store and table access control tool. Ensure high quality delivery to fulfill the requirements of internal data analysts and PMs.
  • Data Business Partner: Responsible for definition and changes of company-wide key metrics. Deep dive into business use cases from different teams, and prioritize requests to make sure these can be delivered with proper data architecture. Collaborate with the Data Engineer and backend team to design internal data pipelines/models to improve operational efficiency and support strategic business decisions.
  • Stakeholder Collaboration and SOP Development: Partner with data analysts, data scientists, and other stakeholders to gather feedback, ensuring a seamless user experience and driving improvements in user satisfaction rate.
What We Look For In You
  • Minimum of 5 years in data-related fields or product management fields, familiar with data warehouses, data applications, data analytics tools and so on.
  • Demonstrated project management skills, with the ability to handle multiple projects simultaneously and meet deadlines consistently.
  • Excellent communication and interpersonal skills, with a proven ability to collaborate effectively with diverse teams and stakeholders.
  • Strong problem-solving abilities, capable of navigating complex technical challenges in a rapidly evolving environment.
  • High level of responsibility, strong ownership and resilience under pressure.
Nice to Haves
  • A background in big data or relevant technical experience is a plus.
Perks & Benefits
  • Competitive total compensation package
  • L&D programs and Education subsidy for employees' growth and development
  • Various team building programs and company events
  • Wellness and meal allowances
  • Comprehensive healthcare schemes for employees and dependants
  • More that we love to tell you along the process!

Top Skills

Data Analytics Tools
Data Applications
Data Warehouses

Similar Jobs

2 Hours Ago
Singapore, SGP
Internship
Internship
Information Technology • Software • Financial Services • Big Data Analytics
Interns will develop and improve mathematical models and algorithms, conduct statistical analysis, and implement trading models for financial markets.
Top Skills: C++PythonR
Entry level
Information Technology • Software • Financial Services • Big Data Analytics
Quantitative Researchers at Citadel develop models and trading strategies, perform statistical analysis, and utilize unconventional data sources to enhance trading systems.
Top Skills: Machine LearningNlpPattern RecognitionTime-Series Analysis
2 Hours Ago
Singapore, SGP
Entry level
Entry level
Information Technology • Software • Financial Services • Big Data Analytics
Quantitative Researchers will develop and refine trading models, analyze complex data, implement statistical techniques, and innovate using unconventional data sources.
Top Skills: Computer ScienceMachine LearningMapreduceMathematicsMatlabMongoDBNlpNoSQLPattern RecognitionRStatisticsTime-Series Analysis

What you need to know about the Singapore Tech Scene

The digital revolution has driven a constant demand for tech professionals across industries like software development, data analytics and cybersecurity. In Singapore, one of the largest cities in Southeast Asia, the demand for tech talent is so high that the government continues to invest millions into programs designed to develop a talent pipeline directly from universities while also scaling efforts in pre-employment training and mid-career upskilling to expand and elevate its workforce.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account