Job Title: Senior Analyst, AI & Data Strategy Overview: Senior Analyst, AI & Data Strategy The Enterprise Data Quality (EDQ) team, part of the AI & Data Office, is responsible for advancing Mastercard’s data quality program and ensuring data is trusted, accurate, and business-ready. As a Senior Analyst, the role drives data quality validation, price monitoring, and insight generation using SQL, ETL tools, and cloud platforms. It requires close collaboration with GCO Compliance, data strategy, engineering, and business teams to ensure high-quality external data integration and adherence to governance standards. The position plays a key role in enabling compliance, improving reporting accuracy, and supporting data-driven innovation. Role As a Senior Analyst, AI & Data Strategy you will: - Execute data quality and pricing monitoring initiatives by partnering with GCO Compliance, data strategy leads, business SMEs, and stakeholders to identify gaps, validate requirements, and deliver actionable, compliance-aligned insights. - Perform advanced data analysis using SQL, cloud platforms, and automation tools; continuously refine outputs to drive meaningful business decisions. - Lead the design and development of data ingestion pipelines and ETL workflows across cloud and on-prem systems, while supporting GCO pricing strategy execution and monitoring. - Develop and maintain dashboards, reports, and documentation to track data quality, pricing metrics, and key performance indicators. - Support strategic GCO compliance and pricing decisions by gathering requirements, validating use cases, and assessing data readiness for enterprise initiatives. - Collaborate with business and technical teams to execute workflows, ensure data pipeline reliability, and monitor performance. - Contribute to data modernization efforts by recommending enhancements to data processes, governance frameworks, and security capabilities to enable advanced analytics and innovation. - Create training materials and deliver knowledge sessions to drive adoption of tools, processes, and best practices. All About You - Strong understanding of data analysis, data ecosystems, and data management principles. - Bachelor’s degree in Data Science, Computer Science, or a related field; Master’s degree preferred. - Excellent analytical, problem-solving, and communication skills with the ability to translate data into actionable insights. - Hands-on experience with data ingestion, ETL processes, and workflow automation. - Familiarity with cloud architectures (preferably Databricks), data marketplaces, and emerging technologies such as AI/ML. - Proficiency in SQL, with working knowledge of Python, Spark, and Hadoop; experience in data wrangling, entity matching, and ETL methodologies. - Understanding of cloud-based data storage and processing technologies. - Experience with data visualization tools (preferably Power BI) and operational data management best practices. - Ability to execute operational tasks while driving process improvements and coordinating cross-functional initiatives. - Strong intellectual curiosity with a structured, process-driven approach to solving business problems. - Strategic mindset with the ability to balance long-term architectural goals with short-term business priorities. - Demonstrated passion for innovation, experimentation, and continuous improvement. - Familiarity with Mastercard products and systems is a plus. To find salary ranges and other disclosures for US and Europe countries where applicable, visit https://hrportal.ehr.com/mastercard/Home/Compensation/Compensation/more#. In the US, see link for “salary structures”. For more information on benefits, visit People Place and review the tabs for Benefits and for Time Off & Leave.
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