Vice President, Data Engineering

$200,000 - $320,000/Yr

Mastercard - Harrison, NY

Full-time - Senior

Harrison, NY

Credit Intermediation and Related Activities

About the position

The Vice President of Data Engineering at Mastercard is responsible for leading the vision and execution of Cloud Data Initiatives. This role focuses on innovating and developing best-in-class data product solutions that leverage Mastercard's data, third-party data, and partner data. The position requires a strategic approach to deliver immediate value while also laying the groundwork for future capabilities and processes, ensuring a seamless experience for customers and developers alike.

Responsibilities

• Lead the design of new data capabilities and infrastructure related to accessing and using Mastercard, third party, and partner data.
• Design data pipelines, transfers, and compliance frameworks to enable cloud-native data usage.
• Identify data-related capabilities and infrastructure requirements resulting from new and evolving product constructs.
• Understand the Services business strategy, information infrastructure, and data needs for both new and existing products and services.
• Collaborate with relevant data management, governance, and technical teams to ensure long-term viability of information assets.
• Develop and implement a horizontal technology roadmap in conjunction with Data Strategy & Management team input.
• Identify existing data capability and infrastructure gaps or opportunities and provide subject matter expertise in support of remediation.

Requirements

• Proven experience as a Data Engineer, Data Architect, Software Engineer, or in a related role, with a strong preference for expertise in data engineering/architecture.
• Knowledge of AI/ML, analytics, and data product development, including analytical models and model governance.
• Hands-on experience with cloud platforms like Databricks, Snowflake, Azure, and AWS, with deep architecture-level understanding.
• Familiarity with big data ecosystems and enterprise-scale implementations of Hadoop and Spark-based solutions.
• Expertise in designing scalable, compliant data infrastructure in cloud environments.
• Proficiency in data hygiene processes, anonymization techniques, and identity resolution capabilities.
• Strong knowledge of industry best practices for data collection, usage, and governance.
• Ability to create and implement data strategies that align with business goals and support organizational growth.
• Exceptional project management skills with a demonstrated ability to manage complex, cross-functional initiatives.
• Strong verbal and written communication skills, with the ability to articulate complex concepts to both technical and non-technical audiences.
• Bachelor's degree in Information Technology, Computer Science, Business, or a related field.

Benefits

• Insurance (including medical, prescription drug, dental, vision, disability, life insurance)
• Flexible spending account and health savings account
• Paid leaves (including 16 weeks new parent leave, up to 20 paid days bereavement leave)
• 10 annual paid sick days
• 10 or more annual paid vacation days based on level
• 5 personal days
• 10 annual paid U.S. observed holidays
• 401k with a best-in-class company match
• Deferred compensation for eligible roles
• Fitness reimbursement or on-site fitness facilities
• Eligibility for tuition reimbursement
• Gender-inclusive benefits