Senior Manager

Standard Chartered; Chennai District; On-site; INR 3,500,000 - 6,500,000; Full time

Job summary

Standard Chartered is seeking an AI & Intelligent Test Automation Lead to transform UAT across Cash Management platforms. You will drive AI adoption, GenAI, ML and intelligent automation to improve test coverage, accelerate delivery, and reduce manual effort.

You will combine deep test-automation expertise with modern AI knowledge, lead automation design, data analytics dashboards, and mentor teams across functions to raise quality and release readiness.

Qualifications

• Degree in CS/AI/Data Science or related field.
• Experience with AI/ML models, NLP.
• Strong analytical skills and attention to detail.
• Excellent written and verbal communication.
• Familiarity with Python and AI frameworks.
• Collaborative in cross-functional teams.
• Understanding of ethical AI principles.
• English language proficiency.

Responsibilities

• Drive AI adoption across the UAT lifecycle.
• Develop AI-assisted test case generation and defect prediction.
• Leverage GenAI tools for test documentation and reporting.
• Introduce intelligent quality engineering practices across UAT.
• Design scalable automation frameworks.
• Increase regression automation coverage.
• Integrate automation into CI/CD pipelines.
• Build dashboards for insights into quality and risks.
• Mentor testers in modern automation and AI tools.

Skills

Analytical skills

Communication

Cross-functional teamwork

People management

Risk management

Change management

Ethical AI

NLP knowledge

Python programming

Education

Bachelor's degree in Computer Science or related field

Master’s degree preferred

Tools

Azure DevOps

GitHub

Jenkins

Git

Job description

Job Summary

We are seeking a highly skilled AI & Intelligent Test Automation Lead to transform the way User Acceptance Testing is delivered across Cash Management platforms. The role will drive adoption of Artificial Intelligence, Generative AI, Machine Learning, and Intelligent Automation to improve test coverage, accelerate delivery timelines, reduce manual effort, and enhance quality outcomes.

The successful candidate will combine deep expertise in test automation with strong knowledge of modern AI technologies and Large Language Models (LLMs). They will lead initiatives that automate test design, execution, defect analysis, test data generation, observability validation, and predictive quality analytics.

Key Responsibilities

AI-Driven Testing & Innovation

• Drive AI adoption across the UAT lifecycle.
• Develop AI-assisted solutions for test case generation, requirement analysis, and defect prediction.
• Leverage GenAI tools to automate test documentation, run plans, traceability, and reporting.
• Introduce intelligent quality engineering practices across UAT.

Test Automation Strategy

• Design and implement scalable automation frameworks.
• Increase regression automation coverage across strategic applications.
• Build reusable automation assets and self-service testing capabilities.
• Integrate automation into CI/CD pipelines.

Quality Engineering

• Implement risk-based testing and predictive analytics.
• Drive shift-left testing and continuous testing practices.
• Analyze quality trends and provide proactive recommendations.

Data & Analytics

• Build dashboards providing insights into quality, defects, risks, and automation benefits.
• Utilize AI and Machine Learning models for quality prediction and release readiness assessment.
• Perform data mining and pattern analysis on defects and production incidents.

Leadership & Capability Building

• Educate UAT teams on AI and intelligent automation.
• Create reusable AI prompt libraries and best practices.
• Mentor testers on modern automation frameworks and AI tools.
• Conduct technology evaluations and proof-of-concepts.

Domain Knowledge - Strong understanding of:

• UAT Lifecycle
• Regression Testing
• End-to-End Testing
• Test Strategy and Governance
• Payments Processing
• SWIFT/ISO 20022
• Cash Management Platforms

Key stakeholders

• Cash Change Delivery teams (e.g., Product Development, Cash Technology)
• Cash Operations Head and Global Functional Heads
• Region and Country Cash Product Heads/Managers
• Risk & Assurance

Technical Skills

AI & GenAI

Must have working knowledge of:

• Microsoft Copilot
• GPT / OpenAI models
• Azure AI Services
• Gemini / Claude (desirable)
• Prompt Engineering
• Retrieval Augmented Generation (RAG)
• AI Agents / Agentic AI
• Responsible AI principles

Test Automation

• Playwright
• Selenium
• Cypress
• Robot Framework
• API Automation
• REST Assured
• Postman
• Karate Framework

Programming

• Python (Mandatory)
• SQL
• Java or JavaScript
• PowerShell

DevOps & CI/CD

• Azure DevOps
• GitHub
• Jenkins
• Git
• CI/CD Pipeline Integration

Data & Analytics

• Power BI
• Python Analytics
• Pandas
• Data Visualization
• Statistical Analysis

Test Management

• Azure DevOps Test Plans
• JIRA
• Confluence
• Test Management Tools

Skills and Experience

• Manage Conduct
• Manage Risk
• Manage People
• Business Facilitation
• Manage Change
• Business Governance & Support
• Management of Frontline Risk
• Strategy & Business Model
• Service Delivery & Operations

Qualifications

• Degree in Computer Science, Linguistics, Artificial Intelligence, Data Science, or a related field. Master’s degree preferred.
• Experience working with AI and machine learning models, especially natural language processing (NLP).
• Strong analytical skills and attention to detail.
• Excellent written and verbal communication skills.
• Familiarity with programming languages such as Python and relevant AI frameworks.
• Ability to work collaboratively in cross-functional teams.
• Understanding of ethical AI principles and responsible AI practices.
• Languages; English

Preferred Certifications

AI & Data

• Microsoft AI Engineer Associate
• Microsoft Copilot Certification
• Azure AI Fundamentals
• Azure Data Fundamentals
• Prompt Engineering Certification

Testing

• ISTQB Advanced Test Manager
• Certified Test Automation Engineer