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