About the role

• · You will be a hands-on technical lead and senior individual contributor in BI Engineering within Visa’s Global Data organization, reporting to the Lead, Data Insights Studio.
• · You will operate from our Global Shared Services hub in Bengaluru, partnering with internal analytics teams to deliver high-impact BI solutions across products and markets.
• · You will turn Visa’s rich datasets (billions of cards, hundreds of billions of transactions annually) into actionable insights that drive business value.

Primary responsibilities

• · Partner with internal analytics and business teams to transform complex, ambiguous problems into clear, measurable outcomes and actionable data products.
• · Lead end to end BI solution delivery - from requirements refinement to data modeling, ELT/ETL, semantic layers, and high performance dashboards.
• · Architect scalable, secure, and reusable BI assets, enforcing standards for modeling, QA, and performance optimization.
• · Design intuitive UI wireframes aligned with industry best practices and Visa/Team guidelines for optimal user experience.
• · Collaborate with Data Engineering/Data Science teams to define architecture, data flows, and mappings for dashboard builds.
• · Develop high quality modules in Tableau, Power BI, D3 or other BI tools, ensuring performance meets user expectations.
• · Ensure data accuracy and integrity in visualizations; lead UAT with business teams to validate outputs.
• · Define and implement dashboard delivery mechanisms (APIs, subscriptions, report servers) ensuring scalability and efficiency.
• · Establish data/report level security based on user roles and access privileges within the organization.
• · Drive Agile delivery - manage backlogs, prioritize sprints, conduct story pointing, sprint reviews, and retrospectives.
• · Create and evolve data visualization strategies, frameworks, and reusable components to strengthen the Data Insights practice.
• · Mentor junior engineers; elevate team BI practices through code reviews, design reviews, and technical demos.
• · Maintain thorough documentation of all visualization processes and develop training content for end users.

Qualifications

• · 8+ years of professional experience complemented by a Master's degree in an analytical discipline such as Computer Science, Statistics, Finance, Economics, or related fields.
• · 4+ years of leadership experience in managing technical architecture, tooling, and design systems for BI development, preferably within financial services or consulting environments.
• · Strong familiarity with shared services models and cross industry consulting practices, particularly in financial services.
• · Expert in data visualization ecosystems with deep knowledge of both commercial BI tools and common open source technologies.
• · Solid engineering foundation with hands on experience in CI/CD for BI, code and data reviews, testing frameworks, and observability practices.
• · Proven track record in designing and delivering high performance, user centric dashboards that drive business decision making.

Technical skill

• · BI Tool: Expert in Tableau and Power BI, including enterprise dashboarding, advanced analytics, and embedded delivery.
• · Architecture & Integration: Design end-to-end BI architecture (data ingestion, modeling, isualization) with REST APIs, embedded analytics, and automated reporting.
• · Programming & Data Processing: Strong SQL, PySpark, HiveQL; experience with Hadoop, AWS EMR, NoSQL databases.
• · Data Pipelines & Orchestration: Proficient with Apache Airflow for workflow orchestration, data quality, and performance optimization.
• · DevOps for BI: Skilled in Git/GitHub, CI/CD pipelines, and automated BI asset testing.
• · Front-End & Advanced Visualization: Familiar with React, micro‑frontends, and MicroStrategy