VP, Data Product Management — Finance Transformation

Fairygodboss; Newark (DE); On-site; USD 110,000 - 170,000; Full time

Job summary

JPMorganChase is seeking a Data Product Manager for the Firmwide Financial Control (FFC) team to safeguard the integrity of books and records and define the global target platform strategy. You will help deliver structured data models and scalable data solutions across the SDLC, partnering with Transformation to modernize FFC operations.

You will own a user-centric roadmap, drive data quality controls, and contribute to AI-enabled data capabilities to support anomaly detection and reporting

Qualifications

• 7+ years in data product management or data governance within finance or regulated industry.
• Experience delivering outcomes across multi-stakeholder programs with clear prioritization and risk management.
• Strong knowledge of data architecture, data quality, lineage, and data contracts.

Responsibilities

• Partner with stakeholders to drive discovery and define use cases, validating needs and enabling adoption.
• Own and maintain a user-centric roadmap and prioritized backlog.
• Translate data operations needs into product scope and acceptance criteria across the SDLC.
• Ensure data is structured for scale; support sourcing, modeling, and data contracts.
• Define and publish data quality rules and controls within the product.
• Contribute to AI/ML enablement and AI-ready data workflows.

Skills

Data product management

Data governance

Data architecture

SQL

Stakeholder management

Agile delivery

Tools

AWS

Databricks

Snowflake

Python

Job description

JPMorganChase is seeking a Data Product Manager for the Firmwide Financial Control (FFC) team to safeguard the integrity of books and records and define the global target platform strategy. You will help deliver structured data models and scalable data solutions across the SDLC, partnering with Transformation to modernize FFC operations.

You will own a user-centric roadmap, drive data quality controls, and contribute to AI-enabled data capabilities to support anomaly detection and reporting