Visa
Fintech · Card network
Currently tracking 85 active AI roles, up 684% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $88k–$452k (avg $208k).
Fintech · Card network
| Title | Stage | AI score |
|---|---|---|
| Senior Consultant, Client Success Manager - Client Services Senior Consultant, Client Success Manager for Visa, focusing on post-sale client relationships, operational solutions, product adoption, and client performance optimization for clients in New Zealand and Pacific Islands. Requires technical proficiency, analytical skills, and client relationship management. | — | 0 |
| Project Manager, Cards & Payments, bridging technology and business Project Manager for Visa's consulting and analytics arm, focusing on implementing and integrating cards and payments solutions. The role requires bridging technology, business, and compliance, translating technical capabilities into business value and financial outcomes for clients. Responsibilities include leading end-to-end project delivery, assessing client technology landscapes, managing project scope and risks, and acting as a trusted advisor. | — | 0 |
| Client Success Analyst Client Success Analyst at Visa, focusing on post-sale operational relationships, product adoption, and client value realization. This role involves supporting new product implementations, understanding client goals, building client relationships, and staying updated on payment trends. It also includes defining and deploying client support strategies and potentially using automated tools to enhance client experience. |
| — |
| 0 |
| Consulting Manager Visa Consulting and Analytics (VCA) is seeking a Consulting Manager in Helsinki to lead high-impact projects for clients in the Nordic and Baltic regions. The role involves developing and implementing strategies for sustainable and profitable growth, focusing on customer engagement, acquisition, digital experience, profitability optimization, and risk/fraud initiatives. The manager will collaborate with clients and internal teams, manage junior staff, and build solutions using data insights. | — | 0 |