Gen AI-Driven Delivery Leader for Python/PySpark

Luxoft Singapore; Singapore; On-site; SGD 180,000 - 260,000; Full time

Job summary

Luxoft Singapore seeks a Delivery Manager to lead a skilled team delivering Python/PySpark data engineering solutions for a critical Trade Surveillance program. You will collaborate with stakeholders and leverage Generative AI to boost productivity and delivery quality.

Responsibilities include mentoring, code reviews, coordinating 30+ developers, and shaping delivery plans with banking stakeholders to ensure timely project completion while mitigating risks and driving AI-enabled improvements.

Qualifications

• 10+ years of experience as a Python developer or architect.
• Proven skills in managing people and stakeholders effectively to drive project success.
• Verified ability to design and build Generative AI utilities and agents to support project objectives.

Responsibilities

• Mentor and guide Python developers and automation engineers to build high-quality data engineering products.
• Conduct code reviews and provide actionable feedback to improve code quality and team performance.
• Manage and coordinate a team of 30+ developers and automation engineers to meet project goals.
• Develop and execute delivery plans in collaboration with Bank stakeholders to ensure timely project completion.
• Oversee RAID (Risks, Assumptions, Issues, Dependencies) management to mitigate project risks.
• Implement and leverage Generative AI solutions to enhance productivity and improve delivery outcomes.

Skills

Python

PySpark

Data engineering

Leadership

Stakeholder management

Generative AI

Job description

Luxoft Singapore seeks a Delivery Manager to lead a skilled team delivering Python/PySpark data engineering solutions for a critical Trade Surveillance program. You will collaborate with stakeholders and leverage Generative AI to boost productivity and delivery quality.

Responsibilities include mentoring, code reviews, coordinating 30+ developers, and shaping delivery plans with banking stakeholders to ensure timely project completion while mitigating risks and driving AI-enabled improvements.