Senior Financial Data Platform Product Manager

JPMorgan Chase & Co.; Jersey City (NJ); On-site; USD 178,000 - 215,000; Full time

Benefits offered by this job

Health care coverage

On-site wellness centers

Retirement savings plan

Tuition reimbursement

Mental health support

Job summary

JPMorgan Chase & Co. is seeking an experienced data and analytics leader to own end-to-end analysis, design, and execution of data product deliverables.

You will define technology strategy for products and platform and collaborate with engineering, business, and operations partners to ensure alignment with expected results. The role focuses on simplifying complex analytics, improving data quality, and developing scalable dashboards and reports across financial metrics, including P&L, liquidity,

Qualifications

• Bachelor's degree plus five years of experience in PM, PO, PMO, software eng, business analysis or related field.
• Five years of experience with data acquisition, quality, lineage, enrichment, and governance.
• Ability to design canonical data models and schemas across Oracle/AWS platforms.
• Experience collaborating with security/compliance partners.

Responsibilities

• End-to-end analysis, design, and execution of data product deliverables.
• Define technology strategy and vision for products and platform.
• Collaborate cross-functionally to align requirements and expectations.
• Develop scalable dashboards and reports using Cognos and Tableau.

Skills

Financial data

Data modeling

Data lineage

Schema design

Stakeholder alignment

Security compliance

BI dashboards

Liquidity risk

Problem solving

Education

Bachelor's degree in Mechanical Eng., Computer Eng., CIS, Financial Eng.

Tools

IBM Cognos

Tableau

Oracle

AWS

Job description

JPMorgan Chase & Co. is seeking an experienced data and analytics leader to own end-to-end analysis, design, and execution of data product deliverables.

You will define technology strategy for products and platform and collaborate with engineering, business, and operations partners to ensure alignment with expected results. The role focuses on simplifying complex analytics, improving data quality, and developing scalable dashboards and reports across financial metrics, including P&L, liquidity,