Role Purpose :

Data and AI Governance Automation Lead (Associate) will be instrumental in designing and developing Data &

AI Governance application architectures and prototypes aligned with the needs of business functions and the Global Governance framework for AI.

This role is key in bridging the gap between data science and production systems by developing robust architectures, integrating machine learning models, and ensuring optimal performance of AI applications while adhering to software engineering best practices and data governance standards.

The individual will also act as a Subject Matter Expert (SME) and serve as an interface between the CDO Business Functions and offshore execution teams responsible for development, monitoring, and ongoing support.

Role Description and Responsibilities :

AI &

Data Governance Solutions Design &

Development :

Application Architecture &

Full-Stack Development :
Architect and develop comprehensive applications supporting governance workflows and automation platforms.

Data Architecture :

Design robust data models and architectures supporting governance data flows, inventory management, and risk assessment processes.

Platform Integration :

Build and maintain integrations with IT, data, and model inventory platforms and governance toolsets.

Cloud Solutions :

Develop and deploy solutions on AWS cloud infrastructure, utilizing cloud services that support scalability and cost optimization.

User Experience Design :

Create intuitive user interfaces and dashboards that enhance governance workflow efficiency and user adoption.

Qualification &

Core Skills Requirements :
10 years of progressive experience in application design, architecture, and full-stack development.
3 years of experience designing and implementing enterprise-scale applications.
Proven track record of leading technical workstreams and delivering complex solutions from concept to production.
Experience in financial services or highly regulated industries is preferred.
Experience with AI governance frameworks and Responsible AI principles.
Knowledge of financial services regulatory requirements (Model Risk Management, Data Privacy).
AWS or Cloud Architecture certifications.
Experience with Agile/Scrum methodologies.

Key Responsibilities :

Architect, design, develop, and maintain scalable software solutions.
Write clean, efficient, and well-documented code.
Collaborate with cross-functional teams to define and implement new features.
Participate in code reviews and provide constructive feedback.
Troubleshoot and debug applications.
Contribute to technical documentation and design discussions.
Support Continuous Integration and Continuous Deployment (CI/CD) processes.

Technical Requirements :

Core Development &

Architecture :
Strong expertise in application architecture design patterns :
Microservices.
Event-driven architecture.
Serverless architecture.
Proficiency in multiple programming languages :
Python.
Java.
JavaScript / TypeScript.
Deep understanding of :

Software Development Life

Cycle (SDLC).

DevOps practices.
CI/CD pipelines.
Experience with :
Docker.
Kubernetes.

Java Application Architect

Job description