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

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

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.

• 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.

• 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.

J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.