Senior Data Science Manager

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 Senior Manager, Data Engineering, leads teams in designing, building, and overseeing the deployment and operation of technology architecture, solutions, and software to capture, manage, store, and utilize structured and unstructured data from internal and external sources. This role is responsible for establishing processes, automations, and big data systems based on business and technical requirements, ensuring data quality, troubleshooting user issues in large distributed systems, and creating machine learning pipelines. The Senior Manager acts as a leader for engineering teams, removing blockers, enabling productivity, and fostering an inclusive, high-performance culture. The role also involves coaching and developing engineers to adapt to evolving tools, frameworks, and AI-driven workflows, and partnering closely with product managers, QA, risk, compliance, and security functions to deliver safe, transparent, and customer-centric solutions.

All roles require digital fluency, including the ability to work with emerging technologies such as Generative AI tools (e.g. ChatGPT, Microsoft Copilot) to support everyday work.
Key Responsibilities:

• Lead the design, development, and deployment of scalable data engineering solutions and big data systems.
• Oversee the creation and maintenance of data pipelines, ensuring data quality, integrity, and consistency across multiple sources and platforms.
• Guide teams in troubleshooting and resolving complex issues in distributed systems and data pipelines.
• Drive the adoption of automation, CI/CD, and quality engineering practices at scale.
• Coach and mentor engineering teams, fostering a culture of continuous improvement and technical excellence.
• Collaborate with cross-functional partners to ensure solutions meet business priorities, regulatory requirements, and data governance standards.
• Ensure adherence to data management principles, governance, and security protocols throughout the data lifecycle.
• Lead the implementation of advanced data protocols, reduction techniques, and aggregation approaches to validate and optimize data quality.
• Oversee the development and maintenance of technical and data documentation, and ensure best practices in code quality and review processes.

Visarequiresat least 3 days in office, expectations of these days 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.
• Experience in leading teams in the design, development, and deployment of large-scale data engineering solutions.
• Experience with big data technologies such as Hadoop, Spark, and distributed data systems.
• Experience in building and maintaining data pipelines, ETL processes, and data quality frameworks.
• Experience with programming languages and tools such as Python, SQL, and version control systems (e.g., Git).
• Experience in troubleshooting and resolving issues in complex, high-volume data environments.
• Experience in implementing data governance, security, and compliance standards.
• Experience in coaching and mentoring engineering teams.
• Experience collaborating with cross-functional teams to deliver business solutions.
• Experience in developing and maintaining technical and data documentation.
• Experience with cloud platforms and services (e.g., AWS, Azure, GCP) for data engineering solutions.
• Experience with machine learning and AI-powered data solutions.
• Experience in developing large-scale, enterprise-class distributed systems of high availability and low latency.
• Experience in leading cross-functional teams in a matrixed organization.

U.S. Applicants Only

The estimated salary range for this positionis $162,500.00 to $ 260,400.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.

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

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