Senior Data & Analytics Product Delivery Lead

JPMorgan Chase & Co.; New York (NY); On-site; USD 170,000 - 200,000; Full time

Job summary

JPMorgan Chase & Co. in New York seeks a senior technologist to design processes and architecture for scalable data ecosystems across capital markets.

You will integrate reference data with downstream systems and customize data models, validation, and enrichment frameworks to improve cost-efficiency. You will translate quantitative information into actionable insights for analytic and non-analytic staff, build interactive reports and dashboards, and optimize data transfer and analytics within

Qualifications

• 5+ years of experience with asset management software and data integration.
• Experience mapping to Instruction Capture formats and XML/LDM with banking tech stacks.
• Proficiency with SQL for metrics and client reports.

Responsibilities

• Design process and technical architecture for scalable systems.
• Integrate with reference data and downstream systems.
• Customize data models, validation, and enrichment frameworks.
• Develop market-specific instruction formatting and compliance rules.
• Create dynamic reports and dashboards; translate data into actionable insights.

Skills

Asset management software

Capital markets knowledge

Instruction Capture integration

SQL querying

AI tools / LLM

Agile / Jira

ISO 15022 / ISO 2022 mapping

Jira / Confluence project tools

Data analysis

Data modeling & enrichment

Education

Bachelor's degree in IT/Finance/CS or related field

Tools

Jira

Confluence

SQL Developer

Job description

JPMorgan Chase & Co. in New York seeks a senior technologist to design processes and architecture for scalable data ecosystems across capital markets.

You will integrate reference data with downstream systems and customize data models, validation, and enrichment frameworks to improve cost-efficiency. You will translate quantitative information into actionable insights for analytic and non-analytic staff, build interactive reports and dashboards, and optimize data transfer and analytics within