About the Team

The Information Consumption team is the backbone for enabling analytics and decision-making through global federated data management and advanced consumption tools.

Role Summary

The Sr. Consultant Data Engineer, GDO - Information Consumption team is responsible for contributing to the build out of Visa’s Business Intelligence and Visualization tools by providing best-in-class product management and oversight. This individual must be able to work across functions, business units, regions and in deep collaboration with Global Data Office team to migrate/transform existing analytics artifacts while implementing best practices and identifying areas of opportunity. Experience with AI product development, cloud data analytics technology and platform, and engineering with proven ability to build/migrate BI capabilities, drive organizational impact, and act as change agent are critical to success.

This role will be responsible for developing Visa’s cloud based BI and Visualization product features, strategy, and roadmap in partnership with key stakeholder teams.

Key Responsibilities:

Own architecture decisions for federated query systems, cleanrooms, and secure data exchange.
Introduce advanced techniques for data virtualization and performance tuning.
Partner with business units to translate analytical needs into scalable solutions.
Partner with business/technical staff to diagnose issues and create improvement suggestions
Work with partners in Data and AI Governance, Risk, Technology, Cybersecurity, Legal, Privacy, and other key stakeholders to ensure business challenges are properly addressed
Coach data engineers on best practices in data engineering and consumption patterns.
Drive automation, monitoring, and optimization of data services.

This is a hybrid position. Expectation of days in the office will be confirmed by your Hiring Manager.

Basic Qualifications:
10 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;
Bachelor’s or master's in computer science, Data Engineering, or related field.
10+ years in data engineering.
Ability to work effectively within a large, matrixed organization
Experience in business intelligence, visualization tools, metadata management, regulatory compliance, and building and implementing distributed computing and cloud-native architectures.
Experience working to uplift and mature BI product capabilities, policies definition, controls and frameworks
Hands-on experience with ETL frameworks, orchestration tools, and query engines.
Excellent problem-solving skills with track record in synthesizing complex information to produce impactful management information and support informed decision making.
Strong interpersonal skills with ability to develop and sustain relationships across levels and role types - influences and collaborates with all levels, functions and geographies
Superior communication and problem-solving skills with a passion to get things done, learn and inspire peers and business partners to uplift skills and capabilities leadership and communication skills.

Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.