Job Description & How to Apply Below
About Us
Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid.
At Visa, you'll have the opportunity to create impact at scale — tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world.
Join Visa and do work that matters – to you, to your community, and to the world. Progress starts with you.
Job Description
The Global Data & AI Team
With data and AI being the fuel that drives our future - our strategies, policies, and business successes around data will define our future growth prospects. Unlocking the value available through the innovative use of data and AI/Machine Learning on behalf of consumers, businesses, and communities is key to our future. We at Visa have a bold vision to continue to grow and accelerate our data and AI/ML-related businesses and capabilities.
Led by Visa's Chief Data Officer, the Global Data & AI team coordinates high-impact, complex, company-wide projects related to the enterprise's data and AI business strategy, platforms and products, solutions, as well as our policy and governance. Working closely with Visa's Chief Privacy Officer, the Technology organization, the wider data community, and the full set of Visa's global lines of business, the Global Data & AI Team is evolving Visa's data-related work with momentum and enthusiasm.
Driven by its commitment to trusted use of data, Visa is seeking enthusiastic leaders who are change-agents and passionate about the future of data around the world.
Data Insights Studio
Data Insights Studio is a Global BI Engineering team that drives scalable, and reusable business intelligence capabilities across regions and functions by establishing standards & frameworks. The team partners with business, product, data engineering, and technology teams to deliver high-quality scalable BI Solution, semantic models, automation/productivity, and analytics products that improve decision-making and operational efficiency.
About
The Role
You will be a hands-on technical architect and senior individual contributor in BI Engineering within Visa's Global Data & AI organization, reporting to the Lead, Data Insights Studio.
You will operate from our Global Shared Services hub in Bengaluru, partnering with various Consulting and internal Data Science teams to deliver high-impact BI solutions across products and markets.
You will be responsible to design scalable, reusable data solutions, drive engineering standards and best practices, and driving framework‑led development to improve efficiency, quality, and speed of delivery across the data ecosystem
Primary Responsibilities
Establish BI Engineering architecture standards and reusable frameworks for dashboards, reports, semantic models, datasets, pipelines, KPIs/metrics, documentation, and performance.
Establish BI Lifecycle management and certification by identifying duplicate reports, defining trusted-report criteria, and improving report discoverability.
Drive utilization of governed semantic layers, certified datasets, and reusable reporting models to ensure consistent KPIs, business rules, lineage, and metric documentation.
Enable low-code, configuration-driven, automation and AI-assisted BI capabilities through reusable templates, metadata-driven patterns, and analytical reporting.
Manage BI COE intake, prioritization, roadmap planning, and delivery governance across initiatives, resources, risks, and dependencies.
Partner with business, product, and technology teams to convert business needs into scalable BI products and reporting solutions.
Support cloud migration and BI platform modernization by defining migration guidance, architecture, improving performance, and aligning solutions to cloud standards.
Embed data quality, security, privacy, lineage, access control, and auditability into BI delivery and governance processes.
Support the global BI Engineering Community of Practice by sharing best practices, enabling training,…
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