Description
Visa Consulting & Analytics (VCA) drives tangible, impactful and financial results for Visa's clients, including card issuers, acquirers, and merchants.
As a Senior Manager in Technology Advisory, you will lead end-to-end client engagements across payments transformation, technology strategy and support seamless implementation delivery for Visa clients in Thailand.
Responsibilities:
- Cultivate relationships with Visa’s clients and partners, optimizing client performance and implementing recommendations in areas such as customer life cycle management and new product development.
- Have oversight, project management responsibility, and a deeper level of involvement in major long-term strategic payments technology engagements.
- Drive client conversations, execute and embed solutions within the client’s environment, and build content and engagement delivery.
- Work cross-functionally with other Visa teams to bring a holistic solution to clients, leveraging Visa’s rich value-added services.
- Develop propositions by closely working with Account Executives in managing the scope of work and project timelines.
- Work across advisory practices to execute engagements across the VCA verticals.
Projects you will be a part of:
- Working with an issuer client to define future-state payment technology architectures, develop actionable roadmaps and drive successful implementation of complex initiatives.
- Managing several engagements across SMT, working with clients’ teams to provide guidance and support.
Qualifications:
- Minimum 8-10 years of experience in retail banking technology or financial services technology consulting.
- Experience in key issuer technology areas, such as credit card technology architecture design, system migration, technology implementation, and technology project management.
- Consulting experience preferred with payments technology, project management and/or process re-engineering credentials.
- In-market experience and/or knowledge of local culture and industry trends.
- An understanding of statistical analysis, modeling, scoring schemes, etc.
- Experience in and passion for the power of analytics & technology.