Principle Responsibilities & Key Results Area
- Identify innovation opportunities around data and datarelated processes that will help our clients implement factbased decisioning processes within their cards and payments program
- Work entails heavy focus on transaction data modelling and analytics for cards and payments products Work with a broader team that consists of Business Managers Consultants and Data Scientists from both Visa and client organizations to strategies cocreate deploy and reap the benefits of datadriven solutions.
- Work with regional and global Data Science teams to develop highquality analytic products and solutions that promote Visas growth in the region.
- Focus on creating scalable framework for Gen AI ML models
- Keep Visa at the forefront of technological advancement in Data Science by introducing cuttingedge tools and techniques for generating business insights
- Develop nextgeneration analytic methods where existing tools and techniques are inadequate to address business challenges
- Drive commercialization of existing scalable assets (models dashboards solutions).
- Collaborate with internal Technology partners and Data Engineering function to best leverage Visas internal technology platforms data and the broader Visa ecosystem to support our clients technical data needs
- Develop share and build global best practices and knowledge management within the team
- Socialize innovative ideas and approaches that are scalable and have market demand
- Champion internal requirements around Model Risk Management Visa Analytics Rules and Global Privacy standards around client delivery to ensure that Visas highly regarded market standing is maintained
- Work closely with Data Engineering DS teams and vendors communicate the business stakeholders needs and ensure the development team delivers within established acceptance criteria including expected quality and performance.
- Drive strong collaboration with VCA CEMEA Service Line Leads (Portfolio Management Digital Risk Merchant & Acquiring Commercial) understanding the market landscape and demand identification of potential opportunities for scalable solutions collecting business requirements and supporting in market enablement and GotoMarket.
- Work with Global Practice Leads to incorporate best practice source analytical or other services and leverage global consulting solutions.
- Deliver and manage a network of external Vendor or agency partners.Maintain excellent relationship with vendor team atlarge supervising deliveries as needed.
Assist in selecting recruiting inducting and onboarding of vendors
Work with other teams and external consultants to develop new and improved tools and techniques for future Consulting activities.
- Manage the project budget and resources to perform all required duties.
- Liaise with VISA functional teams Finance Audit Legal Tax Sourcing to define and implement processes to optimize the daily engagement of vendors and the relationships with clients.
This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.
Qualifications :
Key Competencies
- Minimum of 10 years of expertise in applying Machine Learning solutions to business problems model development and production experience required
- Experience of using GenAI to solve business challenges
- Postgraduate degree (Masters or PhD) in a quantitative field such as Statistics Mathematics Data Science Operational Research Computer Science Informatics Economics or Engineering
- Experience working in one or more of the Card & Payments markets around the globe with specific responsibilities in payments retail banking or retail merchant industries
- Good understanding of Payments and the Banking industry including card verticals such as consumer credit consumer debit prepaid small business commercial and cobranded product
- Expert knowledge of data market intelligence business intelligence and AIdriven tools and technologies with demonstrated ability to incorporate new techniques to solve business problems
- Proven track record in commercializing analytical solutions.
- Experience planning organizing and managing multiple large projects with diverse crossfunctional teams including resource planning and delivery implementation Experience in presenting ideas and analysis to stakeholders whilst tailoring datadriven results to various audience levels
- Proven ability to deliver results within committed scope timeline and budget
- Very strong people/project management skills and experience
Technical Expertise
- Expertise in distributed computing environments / big data platforms (Hadoop Elasticsearch etc.) as well as common d