Director, Platform & Data Ops for Client360

JPMorgan Chase & Co.; New York (NY); On-site; USD 180,000 - 260,000; Full time

Job summary

JPMorgan Chase & Co. in New York invites a Product Director to lead Platform Data Operations for Client360. You will shape data-driven products, align cross‑functional teams, and deliver scalable platform capabilities that unify client data and enable enterprise transformation.

You will mentor teams, define metrics, and drive continuous improvement using analytics and AI. The role demands strategic thinking, stakeholder influence, and a proven track record in large‑scale data projects within

Qualifications

• 8+ years delivering products, projects, or technology applications.
• Strong knowledge of platform management, data operations, and analytics.
• Proven ability to influence adoption of lifecycle activities and manage stakeholders.

Responsibilities

• Develop and execute strategic platform and data operations initiatives for Client360.
• Oversee planning, execution, risk management, and delivery of key activities.
• Coach and mentor teams on best practices in platform management and data operations.
• Own platform performance and drive enhancements to meet business outcomes.
• Collaborate with engineering, operations, and business teams to improve processes.
• Define the platform and data operations experience with KPI focus.

Skills

Platform management

Data operations

Data analytics

Stakeholder management

CRM

Regulatory compliance

Team leadership

Strategic planning

Education

Advanced degree (CS/DS/Business)

Tools

CRM systems

Job description

JPMorgan Chase & Co. in New York invites a Product Director to lead Platform Data Operations for Client360. You will shape data-driven products, align cross‑functional teams, and deliver scalable platform capabilities that unify client data and enable enterprise transformation.

You will mentor teams, define metrics, and drive continuous improvement using analytics and AI. The role demands strategic thinking, stakeholder influence, and a proven track record in large‑scale data projects within