Software & Applications Manager – Enterprise Platforms & AI

RISKDATA CONSULTING PTE. LTD.; Singapore; On-site; SGD 150,000 - 190,000; Full time

Job summary

RISKDATA CONSULTING PTE. LTD. seeks a Software & Applications Manager to lead delivery, enhancement, and modernization of enterprise applications across banking, fintech, and regulated environments.

You will collaborate with business, technology, risk, compliance, and vendors to deliver scalable solutions. You will drive end-to-end SDLC, manage modernization initiatives, and oversee REST API integrations, data mapping, and testing activities to achieve production readiness while supporting

Qualifications

• Degree in Computer Science, IT, Engineering or 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.

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.

Skills

Stakeholder management

Vendor management

Communication skills

Education

Bachelor's degree in Computer Science / IT / Engineering

Tools

REST APIs

JSON

SQL

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