Job Title: Senior Manager – AI, Analytics & Data Engineering Location: Bangalore or Trivandrum Experience:12–18 years Education

MBA / PGDM from a reputed institute B.Tech / BE in Computer Science, Information Technology, Engineering, Statistics or related discipline

AWS Certifications preferred (Solutions Architect, Data Analytics, Machine Learning, AI Practitioner) About the Role

We are looking for an experienced analytics leader to drive enterprise analytics, AI initiatives, reporting platforms, and data engineering for a leading NBFC. The role combines business strategy, data engineering, machine learning, generative AI, cloud architecture, and stakeholder management to enable data-driven decision making across lending, collections, customer acquisition, risk, finance, and operations.

The ideal candidate should possess strong business acumen along with deep technical expertise in AWS analytics services, AI-assisted development, and contemporary reporting platforms. The Business understanding till Report delivery Key Responsibilities

Analytics & Business Intelligence

Lead enterprise-wide analytics initiatives supporting business growth.

Build executive dashboards and management reporting.

Develop analytical frameworks for lending, customer lifecycle, portfolio performance, collections, and profitability.

Generate actionable business insights through descriptive, diagnostic, predictive, and prescriptive analytics.

Present findings to senior leadership and business stakeholders. Data Engineering & AWS

Design and manage enterprise data platforms using AWS technologies including:

Amazon Redshift

AWS Glue

AWS Lambda

AWS Step Functions

Technical Responsibilities include

ETL/ELT pipeline development

Data warehouse architecture

Data modelling

Performance optimisation

Data quality monitoring

Metadata management





Cost optimisation Artificial Intelligence & Machine Learning

Lead AI initiatives using

Amazon SageMaker

Amazon Bedrock

Foundation Models

Retrieval Augmented Generation (RAG)

Vector Databases

Prompt Engineering

Generative AI applications

Develop solutions such as

Customer intelligence

Recommendation engines

Churn prediction

Lead scoring

Document intelligence

Intelligent assistants

AI-powered reporting

Predictive risk models AI-Assisted Software Development

Champion AI-powered engineering practices using tools such as:

GitHub Copilot

Amazon Q Developer, Kiro

Cursor

ChatGPT

Responsibilities include

AI-assisted coding

SQL generation

Code review

Documentation generation

Test automation

Workflow optimisation Reporting & Visualisation

Develop enterprise reporting using

Amazon QuickSight

Microsoft Power BI

SQL

Executive MIS

KPI dashboards

Ensure

Automated reporting

Self-service analytics

Near real-time dashboards

Data governance Business Analysis

Gather and document business requirements.

Translate business problems into analytical solutions.

Conduct process improvement studies.

Build business cases for AI and automation projects.

Work closely with Product, Operations, Risk, Finance, Sales, and Technology teams. Team Leadership

Lead and mentor analytics, BI, and data engineering teams.

Define technical standards and best practices.

Conduct architecture and code reviews.

Drive innovation through AI adoption.

Build analytics capability across the organisation.

Required Technical





Skills

Cloud & Data

AWS

Redshift

Glue

S3

Lambda

EC2

AI & ML

SageMaker

Amazon Bedrock

LLMs

Prompt Engineering

Machine Learning

Python

Scikit-learn

Pandas

Programming

SQL (Advanced)

Python

Reporting

Amazon QuickSight

Power BI

Excel (Advanced)

Databases

SQL Server

Redshift Business Knowledge

Experience in one or more of the following:

Gold Loans

Personal Loans

MSME Lending

Loan Origination

Collections

Risk Analytics

Customer Analytics

Branch Performance

Cross Sell Analytics

Portfolio Management

Regulatory Reporting

NBFC or Banking domain experience is preferred.

Leadership

Competencies

Strategic thinking

Stakeholder management

People leadership

Problem solving

Innovation mindset

Excellent communication skills

Project management

Agile methodologies

Decision-making under ambiguity Preferred Experience

12–18 years in analytics, BI, or data engineering.

Experience managing enterprise AWS analytics platforms.

Proven track record delivering AI and ML solutions in production.

Experience working with CXOs and business leadership.

Experience implementing GenAI solutions within financial services.

Success

Measures

Improved business decision-making through analytics.

Reduced reporting turnaround time.

Increased automation of reporting and data pipelines.

Successful deployment of AI/ML solutions into production.

High adoption of self-service analytics.

Optimised cloud cost and platform performance.

Strong stakeholder satisfaction and business impact. Nice-to-Have Skills

MLOps

Data Governance

Data Catalog

Apache Airflow

Docker

Kubernetes

CI/CD

Financial modelling

Statistical analysis

NLP

Computer Vision

Agentic AI frameworks

Knowledge Graphs

Model monitoring

AI security and responsible AI

📌 Senior Manager – Analytics & AI (Bengaluru)
🏢 MUTHOOT PAPPACHAN TECHNOLOGIES
📍 Bengaluru