Our Purpose

Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, 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

Manager, Product Management

Company Overview: Mastercard
Mastercard is a global technology leader in the payments industry, operating in over 210 countries and territories. Its mission is to power an inclusive, digital economy by making transactions safe, simple, smart, and accessible. The company leverages secure data, networks, and partnerships to drive innovation and enable individuals, businesses, and governments to reach their full potential. Mastercard’s culture is guided by its Decency Quotient (DQ), promoting integrity and sustainability in everything it does.
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Team: Optimization Solutions
This team is focused on enhancing digital payment performance across products and regions. Key responsibilities include:
•\tMonitoring digital performance metrics.
•\tDelivering data-driven insights and business recommendations.
•\tCollaborating with external stakeholders to implement optimization solutions.
•\tPartnering across the organization to ensure alignment and action.
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Key Responsibilities
•\tDevelop and maintain advanced reporting and data visualization tools.
•\tBuild and deploy machine learning models to support product optimization and enablement.
•\tDesign AI systems and automate predictive models.
•\tPerform data ingestion and processing on large-scale datasets.
•\tInnovate with new tools and techniques to solve business problems.
•\tEnsure AI solutions comply with data privacy and quality standards.
•\tCollaborate with global stakeholders and technical teams to deploy solutions.
•\tPromote scalable AI through reusable models and microservices.
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Candidate Profile
Experience & Skills
•\t8+ years in Data Science with a focus on AI strategy and solution development.
•\tStrong background in:
o\tDeep learning algorithms and statistical tools (Python, R, SQL).
o\tBig data platforms (Hadoop, Hive, Spark).
o\tMachine learning techniques (Logistic Regression, Decision Trees, PCA, Time Series).
o\tDeep learning frameworks (TensorFlow, Keras, PyTorch, XGBoost).
•\tFamiliarity with cybersecurity, fraud, and risk solutions is a plus.
•\tExperience with collaboration tools (Confluence, Bitbucket, ALM).
•\tKnowledge of the payments industry and SAFe (Scaled Agile Framework) is advantageous.
Core Competencies
•\tStrong problem-solving and analytical skills.
•\tExcellent communication and project management abilities.
•\tAbility to simplify complex AI concepts for stakeholders.
•\tPassion for continuous learning and innovation.

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.