Senior Vice President Data, Ai & Cloud Job in Neogrowth Credit

Position Title: Senior Vice President Data, AI & Cloud

Location: Mumbai

Department: Technology

Role Overview

We are seeking a visionary technology leader to serve as Senior Vice President Data, AI & Cloud, responsible for architecting and executing our enterprise-wide data, AI/ML, and cloud strategy. This is a transformative leadership role that combines deep technical expertise with strong business acumen to drive innovation, operational efficiency, and intelligent decision-making across the organization.

You will lead platform modernization, enable large-scale AI/ML adoption, and optimize cloud infrastructure, all while building a culture where data and AI are embedded in everyday decision-making. The ideal candidate will be both a strategic thinker and a hands-on technologist capable of translating cutting-edge developments like generative AI and LLMs into practical enterprise applications.

Key Responsibilities

Strategic Leadership

• Define and implement a cohesive strategy across Data, AI/ML, and Cloud aligned with enterprise objectives.
• Drive AI democratization by embedding intelligence in core workflows and decision systems.
• Champion a data-driven, innovation-first culture across both business and technology teams.

AI Advocacy & Adoption

• Act as the internal evangelist for AI leading awareness, education, and enablement initiatives.
• Partner with cross-functional teams (product, credit, operations, etc.) to co-create impactful AI solutions.
• Translate advanced AI technologies (LLMs, generative AI, agentic workflows) into scalable enterprise applications.

AI/ML Delivery & Innovation

• Lead end-to-end development and deployment of AI/ML solutions across key areas: credit scoring, collections, fraud detection, automation, and customer insights.
• Promote the adoption of LLMs and generative AI to power personalization and intelligent decisioning systems.
• Institutionalize MLOps, Infrastructure-as-Code (IaC), and model observability practices.

Data Platform & Governance

• Overhaul and modernize data architecture with real-time, scalable, cloud-native solutions.
• Establish and enforce robust data governance, data quality, privacy, and compliance practices (aligned with RBI and other regulatory norms).

Cloud Infrastructure & Optimization

• Architect and maintain a secure, scalable, cost-optimized AWS environment.
• Implement best-in-class DevOps, Infrastructure-as-Code, and monitoring practices using tools like Terraform, Kubernetes, and Cloud-native observability suites.

Team & Capability Building

• Build and lead high-performing teams across Data Engineering, ML Engineering, and Cloud Operations.
• Mentor and inspire talent to drive innovation and cross-functional collaboration.

Technology Stack

• AI/ML: Python, TensorFlow, PyTorch, MLflow, LangChain, LLMs, Agentic Workflows
• Cloud (AWS): S3, EKS, ECR, Lambda, CloudWatch, CloudTrail, IAM, SageMaker, Bedrock
• Databases: RDBMS, Amazon Redshift, MongoDB
• DevOps & Infrastructure: Terraform, Kubernetes, CI/CD tools, ETL pipelines

Desired Candidate Profile

• 12+ years of progressive experience in data engineering, AI/ML, and cloud infrastructure roles, with at least 5 years in a leadership capacity.
• Proven success in leading data platform modernization and delivering enterprise-scale AI solutions in regulated industries preferably financial services.
• Deep hands-on expertise with Python, ML frameworks (TensorFlow, PyTorch), MLOps tools (MLflow), and generative AI platforms (LangChain, LLMs).
• Strong understanding of financial data, credit models, risk analytics, and compliance requirements (including RBI regulations).
• Bachelor s or Master s degree in Computer Science, Data Science, Engineering, or a related field.