Software & Applications Manager – Enterprise Platforms & AI

Jeet Analytics; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Jeet Analytics is seeking a Software & Applications Manager to lead delivery, enhancement, and modernization of enterprise applications in banking, fintech, and regulated environments. You will collaborate with business, technology, risk, compliance, and vendors to deliver scalable solutions.

The role encompasses end-to-end delivery, modernization initiatives, API integrations, and testing across SIT/UAT, with emphasis on AI-enabled enterprise applications and RAG workflows to boost data-driven

Qualifications

• Degree in Computer Science, Information Technology, Engineering, or a related discipline.
• Minimum 8 years of experience in enterprise applications and software delivery.
• Strong experience in modernization, integration, and full SDLC delivery.
• Hands-on with SQL, REST APIs, JSON, data mapping, and interfaces.
• Experience with Agile/Scrum, Jira or Azure DevOps, SIT and UAT processes.
• Experience in banking, payments, fintech, or regulated environments.

Responsibilities

• Lead end-to-end application delivery from requirements to production rollout.
• Drive modernization and enhancement of enterprise applications across core platforms.
• Analyze integrations using REST APIs, JSON, SQL, and data mapping.
• Translate complex requirements into functional specs, user stories, and acceptance criteria.
• Lead SIT, UAT, regression, and end-to-end testing for production readiness.
• Collaborate with engineering, data teams, QA, business units, and vendors across the SDLC.

Skills

SQL

REST APIs

JSON

Data mapping

Agile/Scrum

SIT/UAT

Vendor management

Stakeholder management

Education

Degree in Computer Science, IT, or Engineering

Bachelor’s degree in a related discipline

Tools

Jira

Azure DevOps

Job description

Job Summary

We are seeking a Software & Applications Manager to lead delivery, enhancement, and modernization of enterprise applications in banking, fintech, and regulated environments. Collaborate with business, technology, risk, compliance, and vendors to deliver scalable solutions.

Responsibilities

• Lead end-to-end application delivery including requirements analysis, solution design, implementation, testing, and production rollout to ensure successful project completion
• Manage enhancement and modernization initiatives for enterprise applications across payments, risk, financial, and business platforms to improve system capabilities
• Analyze and manage application integrations using REST APIs, JSON, SQL, and data mapping to ensure seamless data flow and interoperability
• Translate complex business and regulatory requirements into clear functional specifications, user stories, and acceptance criteria for development teams
• Lead system integration testing (SIT), user acceptance testing (UAT), regression, and end-to-end application testing to ensure production readiness and obtain stakeholder sign-off
• Collaborate with software engineering, data engineering, QA, business units, and external vendors throughout the software development lifecycle (SDLC) to drive project success
• Support AI/LLM-enabled enterprise applications, including retrieval-augmented generation (RAG) solutions, AI-assisted workflows, and prompt engineering to enhance application intelligence
• Drive Agile delivery practices, manage product backlogs, maintain application documentation, and lead continuous improvement initiatives to optimize team performance

Required competencies and certifications

• Degree in Computer Science, Information Technology, Engineering, or a related discipline
• Minimum 8 years of experience in enterprise applications, business systems, technology consulting, or software delivery
• Strong experience in application modernization, system integration, and full SDLC delivery
• Hands-on knowledge of SQL, REST APIs, JSON, data mapping, and application interfaces
• Experience with Agile/Scrum methodologies, Jira or Azure DevOps tools, SIT, and UAT processes
• Experience working in banking, payments, fintech, insurance, or other regulated environments
• Exposure to Generative AI, large language models (LLM), retrieval-augmented generation (RAG), or AI-enabled enterprise applications
• Strong stakeholder management, vendor management, and communication skills