Vice President - Data Intelligence Group

About the Department

The Data Intelligence Group (DIG) forms the core Data & Analytics division at TresVista, dedicated to delivering comprehensive analytical support and solutions. The aim is to empower clients with data-driven decision-making capabilities through expertise spanning Data Engineering, Data Visualization, Automation, and AI/ML-based technologies.

Role Overview

The Vice President will serve as a leader and mentor within the DIG, guiding associates and analysts across multiple projects. This pivotal role drives technical initiatives, fosters collaboration, and facilitates significant client engagement, offering dynamic growth and learning opportunities.

Key Responsibilities

• Partner with stakeholders to gather requirements and build data pipelines that translate data into actionable insights related to finance, operations, and business metrics.
• Drive improvements by automating manual workflows, optimizing data delivery, and contributing to infrastructure redesigns for enhanced scalability.
• Create sophisticated analytical models and innovative solutions to generate valuable insights for stakeholders.
• Aggregate and transform data from various sources into formats suitable for database storage and analysis.
• Develop coding standards, training resources, user documentation, and deployment guides for software products.
• Identify and resolve software defects, alongside conducting code quality assessments.
• Manage multiple project teams ensuring robust performance and synergy.
• Mentor and nurture team talent, emphasizing Data Engineering, Predictive Analytics, and Generative AI competencies.
• Support organizational strategy and culture focused on high performance and continuous enhancement.
• Champion adoption of best practices along the analytics value chain, fostering constant improvement.

Prerequisites

• Practical expertise in ETL processes using Python, Spark, or R, including Data Warehouse operations.
• Advanced hands-on experience with Data Science techniques including Machine Learning, Deep Learning, and Generative AI using Python.
• Working knowledge of Software Development Life Cycle methods, particularly Agile.
• Experience with Generative AI, Agentic AI, and the latest large language models (LLMs) and frameworks.
• Strong background with cloud platforms such as AWS and Microsoft Azure, alongside solution architecture skills.
• Proficiency with data visualization tools like Tableau, Power BI, or Qlik.
• Skilled in designing, developing, and maintaining complex enterprise software applications.
• Excellent communication abilities coupled with high-level quantitative and analytical capabilities.

Additional Information

Any graduate meeting the qualification criteria can apply.