Quantitative Research - Chief Data Office Data Product Owner – Vice President

JPMorgan Chase & Co.; Greater London; On-site; GBP 80,000 - 120,000; Full time

Job summary

A leading financial services firm in London is seeking a Data Product Owner to lead the development of data products. This role involves defining data attributes, ensuring high data quality, and collaborating with various stakeholders to meet consumer needs. Ideal candidates will have extensive experience in data analysis, strong programming skills in Python, and expertise in both relational and NoSQL databases. Join us to drive success in data initiatives and make a significant impact on the organization.

Qualifications

• 5-10 years of experience with exposure to Markets data or financial services.
• Hands-on experience with data analysis and quantitative skills.
• Ability to translate technical concepts for Sales & Trading colleagues.

Responsibilities

• Act as the business’s official Data Producer for delivering Data Products.
• Define data attribute requirements and map data lineage.
• Perform testing and validation of technical implementations.

Skills

Data analysis

Communication skills

Attention to detail

Programming in Python

Quantitative skills

Education

Bachelor’s or master’s degree in Computer Science, Engineering, or related field

Tools

Relational databases

NoSQL databases

AWS

Azure

GCP

Job description

A unique opportunity to join Quantitative Research Chief Data Office Data Product Owner in London.

Are you passionate about data management and eager to drive the success of data initiatives? Join us as a Data Product Owner to lead the development and delivery of data products that meet the needs of both internal and external consumers. Ensure high standards of data quality and accessibility while working in a dynamic environment.

Job Summary

As a Data Product Owner, you will be responsible for defining data products and their attributes, registering metadata, and ensuring rigorous testing and validation. You will collaborate with traders and data consumers to establish data quality metrics and automate monitoring. Act as a bridge between technical teams and end users, translating requirements into actionable tasks and managing development timelines. Your role will prioritize feature requests, resolve data quality issues, and promote the reuse of data products.

In this role, you will maintain SLAs for data products, provide user training, and ensure seamless integration between technology and end users. Your expertise will drive the success of our data initiatives, ensuring that data products meet consumer needs and maintain high quality standards. If you have a proven track record in data management, we invite you to join our team and make a significant impact.

Job Responsibilities

• Act as the business’s official Data Producer for delivering domain-specific Data Products.
• Define data attribute requirements and map data lineage for each Data Product.
• Perform testing and validation of technical implementations and sign-off.
• Register metadata in the catalog and ensure its evergreen status.
• Define critical data elements, data quality metrics, and alerting thresholds.
• Maintain SLAs for data quality and timeliness to meet consumer needs.
• Provide consumer training and promote the reuse of Data Products.
• Translate consumer requirements into actionable development tasks.
• Manage releases and track development timelines and milestones.
• Prioritize feature requests and drive resolution of data quality issues.

Required Qualifications, Capabilities, and Skills

• Bachelor’s or master’s degree in Computer Science, Engineering, or related field.
• 5-10 years of experience with exposure to Markets data or financial services.
• Hands‑on experience with data analysis and quantitative skills.
• Solid programming skills in Python.
• Expertise in data querying languages and experience with relational and NoSQL databases.
• Experience analyzing complex data sets.
• Familiarity with cloud services like AWS, Azure, or GCP.
• Strong communication skills and attention to detail.
• Ability to translate technical concepts for Sales & Trading colleagues.