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

Job Summary

We are seeking a HybridData Specialist with strong data engineering expertise and data analytics skills to play a critical role in building and optimizing the data foundation for Visa Marketing 360, Visa’s global marketing automation and personalization platform. In this role, you will partner with technology teams to design, build, and optimize the data foundation that powers Visa Marketing 360, define and maintain a flexible, scalable data model that adapts to evolving business and platform needs, and ensure that internal and external data sources are seamlessly integrated, cleansed, enriched, and ready for use in marketing campaigns.

Main Responsibilities

Data Engineering & Integration 

• Partner with technology to prepare and maintain the data foundation for Visa Marketing 360, integrating multiple internal and external data sources and embed AI-driven data processing workflows to improve speed, accuracy, and scalability.
• Perform data cleansing, transformation, and enrichment to create high-quality datasets for marketing strategies.
• Integrate internal predictive models and Segmentation Engine into platform workflows.
• Develop processes to monitor and maintain data quality, proactively identifying and resolve issues.
• Partner with technology to build and maintain data pipelines that ensure reliable, real-time, and batch data availability for marketing campaigns

Data Model Definition & Governance

• Design, implement, and maintain a flexible, scalable data model that supports evolving marketing campaign requirements, advanced analytics, and AI-driven personalization strategies.
• Ensure data model accommodates new data sources, changing business rules, and regional variations without disrupting existing operations.
• Collaborate with product and marketing teams to translate business requirements into robust data structures and relationships.
• Establish data governance standards to maintain consistency, accuracy, and compliance across the platform’s datasets.

Data Analytics

• Develop and maintain dashboards that incorporate AI-generated insights and predictive KPIs to guide marketing strategy.
• Analyze campaign and customer data to identify trends, patterns, and opportunities for optimization.
• Partner with marketing teams to translate data into actionable insights for targeting, personalization, and messaging strategies
• Contribute to A/B testing design and campaign measurement strategies

AI & Automation

• Leverage AI to automate data preparation, segmentation, and campaign optimization workflows, reducing time-to-market and operational effort.
• Evaluate and deploy cutting-edge AI analytics tools to enhance decision-making speed, accuracy, and innovation in marketing execution.

Collaboration & Enablement

• Work closely with the Sr. Product Manager to align data capabilities with platform strategy.
• Partner with Marketing Operations Lead to ensure data readiness for campaign execution.
• Provide training and guidance to marketing and operations teams on data tools, dashboards, and best practices.

Key Attributes for Success

• Engineering-first mindset: Builds scalable, efficient, and reliable data systems.
• Data Model Architect: Designs structures that adapt to evolving business needs
• Analytics-Driven: Uses data to uncover insights and improve decision-making
• AI Innovator: Seeks out opportunities to embed AI into every stage of the data lifecycle for better speed, accuracy, and impact.

This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.

Qualifications

Basic Qualifications • 8 or more years of relevant work experience with a Bachelor Degree or at least 5 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 2 years of work experience with a PhD Preferred Qualifications • 9 or more years of relevant work experience with a Bachelor Degree or 7 or more relevant years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 3 or more years of experience with a PhD • Bachelor’s degree in Computer Science, Statistics, Engineering, Mathematics, or related quantitative field. • 7+ years of experience in Database management, Big Data Engineering and Data Analytics • Proven track record in designing and implementing scalable, flexible data models that support evolving business and analytical needs. • Experience integrating multiple internal and external data sources (e.g., transactional, behavioral, marketing engagement). • Hands-on experience working with large datasets (E.g. Hadoop Ecosystem) • Demonstrated ability to clean, manipulate, analyze, visualize, and model large complex datasets. • Experience transforming technical data outputs into actionable business insights for non-technical stakeholders • Track record in automation of data collection, processing, segmentation, and quality monitoring. • Proven ability to apply AI/ML concepts to marketing, segmentation, and personalization use cases. • Experience with dashboarding and visualization tools (Tableau, Power BI, Looker) to support analytics and KPI monitoring. • Proficiency in data governance and quality frameworks. • Strong cross-functional collaboration and project management skills, with the ability to coordinate deliverables across global teams. • Excellent communication skills with the ability to translate complex technical topics into clear business language. • Master’s degree preferred in Data Science, Big Data Engineering, Statistics, or a related technical discipline. • Strong knowledge of emerging AI trends in data engineering, analytics, and MarTech, with the ability to translate trends into practical solutions for Visa Marketing 360. • Strong knowledge of data privacy and compliance (GDPR, CCPA) in marketing contexts. • Experience in marketing data strategy and integration into MarTech platforms

U.S. Applicants Only

Work Hours

Varies upon the needs of the department.

Travel Requirements

This position requires travel 5-10% of the time.

Mental/Physical Requirements

This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers.

Visa is an EEO Employer