Vice President, Data Strategy and Monetization Lead, LAC

MasterCard; São Paulo; Presencial; BRL 300.000 - 500.000; Tempo integral

Resumo da oferta

A leading global payments company in São Paulo seeks a Vice President for Data Strategy and Monetization. The ideal candidate will have extensive experience in analytics for financial services and the ability to enhance data assets for customer segments. Fluency in English is required, with additional languages preferred. This role collaborates with cross-functional teams to ensure effective execution of data strategy initiatives.

Qualificações

• Extensive experience in the application of advanced analytics or data science for financial services.
• Experience in integrating data science applications into software products.
• Ability to communicate with executives and staff with impact.

Responsabilidades

• Work with cross-functional partners to localize data strategy goals.
• Identify data elements with monetization potential.
• Lead ongoing data quality assessments.
• Support creation of analytical solutions.
• Drive knowledge documentation across all processes.

Conhecimentos

Business acumen

Data science capabilities

Communication with impact

Fluency in English

Fluency in Spanish

Fluency in Portuguese

Formação académica

Master's degree in Computer Science

Statistics

Machine Learning

Mathematics

Descrição da oferta de emprego

Our Purpose

Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build asustainableeconomy where everyone can prosper. We support a wide range of digital payments choices, making transactionssecure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.

Title and Summary

Vice President, Data Strategy and Monetization Lead, LACOverview
The Business and Market Insights (B&MI) team is seeking a Vice President, Data Strategy and Monetization. This role is accountable for strategically expanding the quantity and enhancing the quality of data assets available for development and deployment of data-driven analytical solutions for all our customer segments and partners in Latin America. This role will partner closely with our Chief Data Office at global level and with Product Management, Franchise, Market Development, Data Privacy, Regulatory and Legal teams across the region.

Role
In this leadership position, you will:

Work with cross-functional partners and executives to localize global Data Strategy and Monetization goals.

Identify proprietary and consented data elements across data sources (e.g., transactional, open banking, device) with the greatest monetization potential linked to priority jobs to be done (e.g., open new accounts, manage credit risk) of customers and partners.

Own and periodically report progress against the business case for expanding the quantity and enhancing the quality of data assets available for development and deployment of data-driven analytical solutions for all our customer segments and partners.

Engage and influence Country Managers, Market Development, and Franchise teams across the region to ensure complete and timely execution of proprietary data quality remediation plans developed in partnership with the global Chief Data Office.

Lead ongoing transactional data quality assessments for key markets in the region in partnership with the global Chief Data Office.

Own regional data commercial partnerships and data quality and sourcing priorities. Collaborate across internal and external stakeholders to steadily expand and enhance data assets available for analytical solutions development and commercialization.

Assess the effectiveness of data transformation protocols (e.g., merchant aggregation) for the region and collaborate across Chief Data Office and Operations & Technology teams to implement adjustments and increase value delivered to our customers.

Support creation of analytical solutions, leveraging Mastercard's global databases, assets, and software platforms. Collaborate with Regulatory, Data Privacy and Protection teams across the region to ensure adherence to applicable regulations.

Drive institutionalized knowledge using consistent documentation (e.g., support documents) across all processes to support knowledge management and ensure consistency and repeatability across projects.

Ensure data strategy best practices and foster a data-driven culture throughout the organization.

Participate in discussions with executive-level stakeholders, serving as the Subject Matter Expert (SME).

All About You
The ideal candidate should:

Business acumen and the ability to apply data science capabilities to solve practical business problems.

Extensive (+10 years) experience in application of advanced analytics or data science for financial services or payments industry in Latin America. Experience in integrating data science applications into software products will be highly valued.

A master's degree in Computer Science, Statistics, Machine Learning, Mathematics, or similar will be highly valued.

Can communicate with executives, peers, and staff with impact, eloquence, and authenticity

Demonstrate our Mastercard Way behaviors, necessary to be effective in cross-functional teams

Fluency in English is required, fluency in Spanish and Portuguese will be highly valued.

Corporate Security Responsibility

All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:

• Abide by Mastercard's security policies and practices;

• Ensure the confidentiality and integrity of the information being accessed;

• Report any suspected information security violation or breach, and

• Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines.