Manager, Data Science – Data Solutions Sales Enablement
2/27/2026
This role supports regional data solutions strategy by gathering client and market needs and translating them into clear data solution or product requirements for Asia Pacific clients. Responsibilities include collaborating on solution development, assisting with pilot engagements, tracking product performance, and contributing to enablement materials.
Working Hours
40 hours/week
Company Size
10,001+ employees
Language
English
Visa Sponsorship
No
Company Description
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
What a Data Science Manager – Data Solutions Sales Enablement does at Visa:
- Supports regional data solutions strategy by gathering client and market needs and translating them into clear data solution or product requirements.
- Partners with Market teams, Practice Areas, and Sales to contribute to ideation, design, and enhancement of data solutions/products for Asia Pacific clients.
- Collaborates closely with Data Science, Data Engineering, and Market teams on requirements documentation, solution development, testing, and release activities.
- Assists in pilot engagements for new data solutions/products, including proposal inputs, use case definition, delivery coordination, and outcome tracking.‑case definition, delivery coordination, and outcome tracking.
- Tracks product performance and adoption metrics and supports internal communications such as progress updates, adoption insights, and Business Review preparation.
- Contributes to documentation and enablement materials including user guides, FAQs, release notes, and internal product communications to support market rollout.
This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.
Qualifications
What you will need:
- Bachelor’s or Master’s degree in Statistics, Engineering, Computer Science, Data Science, Economics, Finance, or a related quantitative field.
- 5-8 years of experience in Consulting, Data Analytics or related project oversite, Product Management support, or related roles.
- Experience working with cross-functional teams such as Consulting, Data Science or Sales. functional teams such as Consulting, Data Science, Engineering, or Sales.
- Ability to translate business needs into structured requirements and support development and release cycles.
- Strong analytical skills with the ability to interpret data and identify opportunities for solution improvement.
- Clear written and verbal communication skills, including the ability to explain technical concepts to non technical audiences.
- Demonstrated behaviors aligned with Visa’s leadership principles, including accountability, collaboration, and execution excellence.
What will also help:
- Experience in payments, financial services, technology, or consulting environments.
- Exposure to Asia Pacific markets and an understanding of differing client needs.
- Familiarity with data science concepts, analytics workflows, and basic engineering processes.
- Experience supporting data solutions commercialization or market deployment.
- Ability to work effectively in matrixed organizations and influence stakeholders through collaboration.
Additional Information
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.
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