Vice President

TresVista; Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

TresVista is seeking a Vice President of the Data Intelligence Group to lead a team of Associates and Analysts, guiding data-driven decisions for clients. You will oversee technical initiatives, mentor staff, and engage with stakeholders.

The role emphasizes building data pipelines, automating processes, applying Gen AI and ML, and delivering insights across finance and operations, with a focus on scalable data architecture.

Qualifications

• Hands-on experience with ETL tools and data warehouses.
• Extensive experience in data science, ML and deep learning, including Gen AI.
• Familiarity with SDLC methodologies like Agile.
• Experience with Gen AI using latest LLM frameworks.

Responsibilities

• Collaborates with stakeholders to translate requirements into data pipelines and actionable insights.
• Identify and implement internal process improvements, automating data delivery and scalable infrastructure.
• Develops sophisticated analytical solutions and insights for stakeholders.
• Acquire data from multiple sources and convert into a standardized format for storage.
• Mentor teams in Data Engineering, Predictive Analytics, and Gen AI; manage cross-project delivery.
• Ensure best practices, quality, and documentation across analytics value chain.

Skills

ETL Pipelines (Python/Spark/R)

Gen AI & ML

SDLC & Agile

Cloud Platforms (AWS/Azure)

Data Visualization (Tableau/Power BI/Q

Data Warehousing

Tools

Tableau

Power BI

Qlik

Job description

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