返回查詢:Senior Data / 台北市

Job Description

We are seeking a Senior Product Manager with a background in data engineering, primarily

responsible for promoting cloud-based data warehousing. This role will involve planning and

driving the adoption of the data platform and managing data pipeline projects through cross functional

collaboration, ensuring system stability, data quality control, scalability, and delivery

excellence.

Job Responsibilities


• Understand the requirements of business users and translate them into actionable tasks for

data teams, priorities tasks, align timelines and manage expectations of stakeholders across

different teams


• drive the development and adoption of an internal metrics platform that standardizes and

centralizes core metrics


• Increase the adoption of group-wide metrics by enhancing visibility, improving

documentation, and integrating them into internal dashboards and workflows.


• own the product strategy and roadmap for DataMart construction-ensuring curated,highquality

datasets are tailored to key business domains


• build seamless collaboration processes with data engineers, infra teams, and cross-functional

stakeholders to deliver robust data product-based on the requirements


• ensure logic change requests are implemented in the data marts accurately and reflect up-to date

business definitions


• Establish data quality monitoring mechanisms to ensure data accuracy and reliability.

Qualifications


• 3–5+ years of experience as a Data Product Manager, with familiarity in data infrastructure

and cloud applications


• Bachelor's degree or above in Computer Science, Data Engineering, or related fields


• Proficient in SQL and Python, with basic knowledge of Hadoop, Spark, Kafka, Flink, and

Airflow


• Excellent communication skills, able to collaborate with stakeholders from diverse

backgrounds


• Detail-oriented with a proactive and positive attitude toward problem-solving


• Relevant experience with trading platforms (e.g., stocks / financial derivatives)