Job Description

• Lead the design of new data capabilities and infrastructure related to accessing and using MA, third party, and partner data to power Mastercard data products and solutions.
• Design required new data pipes, data transfers, and compliance related infrastructure to enable that use of the data in the cloud.
• Identify data-related capabilities and infrastructure requirements resulting from new and evolving product constructs and how those requirements can be developed cloud natively.
• Understand the Data and Services business strategy, information infrastructure and data needs for both new and existing products and services across various product initiatives.
• Collaborate with relevant data management, data governance and technical teams to enable long term viability of information assets and enterprise requirements.
• Develop a horizontal technology roadmap in conjunction with Data Strategy & Management team input to enable technology solutions for managing data that meet the needs of multiple business stakeholder groups.
• Identify existing data capability and infrastructure gaps or opportunities within and across initiatives and provide subject matter expertise in support of remediation.

• Hands-on experience with technologies such as Python, Databricks, AWS, Java, Pyspark, Spark, Kafka, and SQL.
• You are curious about and motivated by the future trends in data, AI/ML, analytics, and digital experience
• Experience in data product development, analytical models, and model governance
• Experience in anonymizing data and managing the use of data
• Experience in data hygiene procedures, identity resolution capabilities or data management a plus
• Exceptional interpersonal skills with proven experience in relationship building and partnering. Must work well in both team and individual settings and must be able to work with a geographically dispersed team.
• Strong analytic capabilities and written and oral communication skills. Attention to detail is a must.
• Strong project management skills and a demonstrated ability to understand complex information product constructs
• Familiarity with industry best practices for collection and use of data
• Motivated self-starter with ability to excel at multi-tasking in a fast-paced environment, outstanding English written and verbal communication skills

• Experience with performance Tuning of Database Schemas, Databases, SQL, ETL Jobs, and related scripts
• Experience in working with Cloud APIs (e.g., Azure, AWS)
• Experience participating in complex engineering projects in an Agile setting e.g. Scrum

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