End-to-End Client Implementation Lead — AI & No-Code

G MASS; New York (NY); On-site; USD 86,000 - 105,000; Full time

Job summary

G MASS Consulting in New York seeks a Client Implementation Project Manager to own end-to-end client setups and go-live across financial services products. You will work with client teams, solution designers, and internal tech groups to ensure smooth configuration using no-code tools and robust data handling.

The role emphasizes clear client communication, change delivery, and the application of AI and automation to streamline implementation.

Qualifications

• Experience in client delivery and project management within financial services.
• Ability to configure or coordinate technical implementations using no-code tools.
• Comfort working with data formats like FIX, XML, or CSV and mapping workflows.
• Interest in applying AI/automation to delivery processes.

Responsibilities

• Own client implementation projects end to end from initiation through production.
• Collaborate with project managers, solution designers, and technical teams in delivery.
• Configure connectivity and data handling using no-code tools and validate designs before go-live.
• Lead client testing, diagnose issues, and drive rapid resolution.
• Manage go-live and provide post-launch support with clean handover to support.
• Document project plans and track changes to inform stakeholders about risk and progress.
• Identify practical AI opportunities in implementation and share findings with the team.

Skills

Client communication

Financial services knowledge

Change management

Project management

Data formats & protocols

No-code tools

AI interest

Workflow mapping

Education

Bachelor's degree in CS or related field

Job description

G MASS Consulting in New York seeks a Client Implementation Project Manager to own end-to-end client setups and go-live across financial services products. You will work with client teams, solution designers, and internal tech groups to ensure smooth configuration using no-code tools and robust data handling.

The role emphasizes clear client communication, change delivery, and the application of AI and automation to streamline implementation.