Vice President

About Department
The Data Intelligence Group is the Data & Analytics arm of TresVista. The department's sole objective is to provide analytical solutions and support to the clients so that they can take data-driven decisions. Broadly, we provide comprehensive solutions across Data Engineering, Data Visualization, Automation, and AI/ML- based solutions.

Role Overview
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

Experience in Gen AI, Agentic AI using latest LLMs and frameworks"
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

DIG VP - Key Skills:

• Data Analyst
• Data Engineering
• Software Engineer
• SQL and Python
• AI, Gen AI and Agentic AI