Data Science Senior Manager

Team Summary

Visa Consulting & Analytics (VCA) is Visas consulting division serving Visas clients (including card issuers acquirers and merchants) and solving their strategic problems focused on improving performance and profitability. Drawing on our expertise in strategy consulting payments data analytics marketing operational and macroeconomics VCA drives high impact and tangible financial results. Managed Services (VMS) is one arm of VCA focused on delivering capability and expertise to clients.

What a DS Senior Manager does at Visa:

VMS Data Labs services our clients by executing and implementing data projects for Visa clients.

Core responsibilities of the role include:

• Cultivate strong ongoing relationships with key stakeholders across Visa Consulting & Analytics (VCA) and project teams to gather requirements and identify new engagement opportunities.
• Own the end-to-end delivery of high-quality data projects ensuring alignment with best practices and client expectations.
• Partner with Cluster Data Leads VMS Leads and Global Data Labs teams to execute impactful data-driven projects for Visa clients.

• Maintain a regional pipeline of data engagements and support the development of pricing proposals
• Lead the tracking and reporting of shared services Data Labs engagements across Asia Pacific ensuring consistent delivery standards and capturing learnings to enhance future initiatives
• Contribute to other Managed Services initiatives as required supporting broader team objectives.

Why this is important to Visa

This role will be vital in the growth of our Data as a Service business across Asia Pacific. The role will help to scale diversify and transform our Managed Services Data capabilities which will support Visas business in the region. You will evolve our Data Services to drive uptake and delivery of Data projects. You will own key internal and external stakeholder relationships with Visa teams and our vendors as well as supporting our clients.

Projects you will be a part of:

This role will play a critical role in delivering our data services to Visa clients through Managed Services a new business line which is in high demand from our clients. Once established in our initial clients this role will support the scaling of these services across other markets in AP.

The nature of projects in this role will focus on creating impactful data narratives collaborating across multiple parties to identify client data opportunities and enabling the sales and delivery of such projects. The team will also be involved in collaborating with regional VMS and data science teams.

As the worlds leader in digital payments technology Visas mission is to connect the world through the most creative reliable and secure payment network - enabling individuals businesses and economies to thrive. Our advanced global processing network VisaNet provides secure and reliable payments around the world and is capable of handling more than 65000 transaction messages a second. The companys dedication to innovation drives the rapid growth of connected commerce on any device and fuels the dream of a cashless future for everyone everywhere. As the world moves from analog to digital Visa is applying our brand products people network and scale to reshape the future of commerce.

At Visa your individuality fits right in. Working here gives you an opportunity to impact the world invest in your career growth and be part of an inclusive and diverse workplace. We are a global team of disruptors trailblazers innovators and risk-takers who are helping drive economic growth in even the most remote parts of the world creatively moving the industry forward and doing meaningful work that brings financial literacy and digital commerce to millions of unbanked and underserved consumers.

Youre an Individual. Were the team for you. Together lets transform the way the world pays.

This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.

Qualifications :

• Degree (Masters or higher would be an advantage) in IT Computer Science Data Science AI Machine Learning Business Analytics or equivalent experience
• A minimum of 12 years work experience in a data science role specifically with a background in payments solutions and advanced data science.
• A minimum of 2 years work experience in a consulting role specifically with a background in financial industry.
• Extensive proficiency in data science techniques usage of programming languages such as Python Spark Hadoop/Hive for model development and data processing.
• A proven track record demonstrating an ability to manipulate process and extract value from extensive datasets at scale.
• Experience in developing and delivering campaign management solutions in banking and retail space.
• Striking communication skills showcasing an ability to translate complex technical data into compelling narratives.
• Proficient in Microsoft PowerPoint presentations
• Role requires the incumbent to travel to client locations

What will also help:

• Experience in analytics for retail banking card issuing or consulting to retail banks
• Good understanding of payments and banking
• Ideally worked in a data product delivery role within offshore teams
• Solid evidence of experience in managing analyzing and implementing insights from large datasets.
• Demonstrable expertise in a customer-facing advisory role with a focus on creating effective data strategies
• Experience in campaign management implementation and measurement
• A comprehensive understanding and familiarity with current industry trends and advancements in data science.

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.

Remote Work :

No

Employment Type :

Full-time