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Develop causal economic analyses using Mastercard and public datasets to assess business decisions, market changes, events, and external shocks. Translate business questions into empirical designs, lead projects from data ingestion through model validation, prototype scalable causal inference methods, guide best practices, and communicate findings to internal and external stakeholders. The role requires econometric and causal machine-learning expertise, experimentation experience, and strong technical communication skills.

Develops macroeconomic views and research insights for Sub-Saharan Africa, especially South Africa, while supporting economic outlooks across EEMEA. The role produces research notes, leadership briefings, customer presentations, and industry-event content. It collaborates with data scientists and consulting teams on alternative datasets, forecasting, and tailored presentations, representing Mastercard as an economic thought leader.

Mastercard seeks a Data Engineering Intern to support data science capabilities for Commerce Media and Offers. The intern will help build data pipelines and cloud-based workloads, work with distributed data processing, and contribute to AI/ML and data-driven product initiatives. Candidates should have Python experience, familiarity with cloud data platforms, strong analytical and collaboration skills, and be enrolled in a qualifying bachelor's or accelerated master's program. The role is based in San Francisco and does not offer work authorization sponsorship.

Designs, develops, and scales secure data pipelines and platforms across enterprise data warehouses, lakes, and lakehouses. Leads cloud modernization and migration from on-premises systems using Spark, Hadoop, AWS, Airflow, and database technologies. Responsibilities include architecture, coding, testing, deployment, production support, data governance, observability, incident resolution, technical leadership, mentoring, and evaluating emerging data technologies.

Leads global network economics and value optimization initiatives through data-driven pricing, interchange, revenue, and profitability analysis. Develops predictive models, simulations, segmentation frameworks, reporting, visualizations, data pipelines, and scalable analytics tools using large datasets. Partners with global and regional pricing teams, translates stakeholder needs into analytical solutions, presents actionable findings, manages project delivery, and mentors junior colleagues.

The Senior Analyst will execute Mastercard's Master Data Management strategy, ensuring data integrity and collaboration across enterprise systems and stakeholders while leading MDM initiatives and governance practices.

Leads a global organization spanning data science, data architecture and engineering, and reporting and insights. Develops enterprise data strategy, oversees data products and analytics initiatives, advances predictive and prescriptive insights, establishes governance and quality standards, and partners with executives to deliver measurable business value. Builds high-performing teams, develops leaders, prioritizes investments, and drives scalable, trusted, decision-oriented analytics capabilities.

Develop and maintain advanced Workday reports, dashboards, calculated fields, and analytics across HR domains. Ensure reporting governance, data quality, security, documentation, testing, and lifecycle management. Partner with P&C product teams and stakeholders to translate workforce-data needs into scalable solutions, support Workday releases, resolve reporting issues, and promote responsible self-service reporting.

Monitors business and operational KPIs across production environments, investigates alerts and incidents, performs root cause analysis, and analyzes data using SQL, Snowflake, Tableau, Splunk, and Excel. Develops dashboards, reports, alerts, and performance scorecards; communicates issues, supports incident management, and recommends automation and process improvements. Requires rotational 24x7 shift coverage, including weekends, holidays, and on-call support.

Leads Mastercard’s enterprise data platform engineering organization and modernization strategy. Oversees development of a multi-agent ETL platform supporting batch and streaming workloads, AI-driven automation, governance, observability, security, and scalable hybrid-cloud deployment. Establishes roadmaps, KPIs, data quality standards, and operational best practices while managing global engineering teams, director-level leaders, stakeholders, and executive communications.