The Vice President of the Data Intelligence Group will lead, mentor, and develop a team of Associates and Analysts. This role involves overseeing and driving technical initiatives. This position offers a dynamic path for learning and growth, with high exposure to team management and client engagement.

Key Responsibilities :

- Collaborates with stakeholders to understand requirements and uses analytical tools to create a data pipeline to provide actionable insights into financial management, operational efficiency, and other key business performance metrics

- Identify, design, and implement internal process improvements : automating manual processes, optimizing data delivery, where necessary supporting the redesign of infrastructure for greater scalability

- Develops sophisticated & innovative analytical solutions and actionable insights for the stakeholder

- Acquires data from multiple sources to convert it in a specified format to be stored in a database for insight generation

- Supports creation of Coding Best Practices, Software Product Training Materials, Software Product User Guides, and Software Product Deployment Instructions

- Fixes software defects/bugs, measures and analyses code for quality

People Manager :

- Manage teams working across multiple projects for different clients, ensuring high performance and effective collaboration

- Mentor and develop team members, nurturing talent in areas such as Data Engineering, Predictive Analytics, and Gen AI

- Actively supports the business strategy, plans and values, contributing to the achievement of a high-performance culture

- Foster a culture of continuous improvement, encouraging the team to adopt best practices across analytics value chain

Prerequisites :

- Hands-on experience on ETL (Python/Spark/R) tools and Data Warehouse

- Extensive hands-on experience in Data Science (ML, Deep Learning) and Gen AI using Python

- Experience with Software Development Life Cycle (SDLC) methodologies like Agile

- Strong experience of Cloud Platform (AWS/Azure) and solution designing

- Experience with visualization tools - Tableau/Power BI/Qlik

- Experience in designing, developing, and maintaining complex enterprise applications

- Proficient Communication Skills, High Quantitative ability, and Analytical skills

- Experience with modern SDLC tools - Git/Bit Bucket, JIRA/Trello - is a plus

Experience : 8+ years of experience in Data Engineering/Software Development

Education : Bachelors/Master's degree from Tier-1 colleges would be preferable