Jobs · Engineering · New York

Vice President, AI & Data Strategy – Open Finance

Mastercard · New York, NY · 3 wk ago
HybridEngineering$235k–$375k/yrFull-time

Role Responsibilities

  • Define and drive the AI and data strategy roadmap across Open Finance and Services, ensuring alignment to product priorities, regulatory requirements, and measurable business outcomes.
  • Partner with business, product, and technology leaders to translate Open Finance priorities into AI and data initiatives while identifying and addressing gaps in data capabilities, governance, and operating models.
  • Serve as a strategic advisor on internal and third-party data and AI capabilities, guiding evaluation, prioritization, and implementation of high-impact solutions across Open Finance use cases.
  • Drive the application of AI and data across Open Finance products, including customer data, transaction data, and external data sources, to enhance product capabilities, risk management, and customer outcomes.
  • Lead adoption of data and AI design practices across products and enterprise initiatives, including data requirements, AI intake, and governance processes aligned with regulatory and compliance standards.
  • Ensure alignment with regulatory, data privacy, and compliance requirements, including Open Banking frameworks, data sharing standards, and evolving global regulatory expectations.
  • Partner closely with data governance, privacy engineering, and risk teams to enable responsible AI adoption and ensure appropriate data usage, controls, and safeguards.
  • Build strong relationships across Open Finance, Services, and enterprise stakeholders to champion AI and data best practices and strengthen organizational readiness.
  • Represent Mastercard externally as a senior voice in Open Finance and AI, engaging with clients, partners, and industry stakeholders to advance Mastercard’s strategy and reputation.
  • Define, track, and communicate success metrics, including AI adoption, product impact, and other indicators of strategy effectiveness and business value.
  • Foster a culture of innovation, accountability, operational ownership, and execution excellence across cross-functional teams.

All About You

  • Proven experience defining and executing AI and data strategies in product-led, highly regulated environments, preferably within payments, fintech, or Open Finance ecosystems.
  • Deep understanding of Open Finance and Open Banking, including card and A2A payment systems, data flows, external data sources, and customer data ecosystems.
  • Strong knowledge of regulatory, compliance, and data governance requirements, including data privacy, risk management, and responsible AI practices.
  • Experience partnering with data governance, privacy engineering, and compliance teams to enable secure and responsible use of data and AI.
  • Strong understanding of AI, data, and analytics, with the ability to connect technical capabilities to product strategy, commercial outcomes, and customer value.
  • Exceptional executive communication and stakeholder management skills, with the ability to influence C-level leaders across product, technology, and business organizations globally.
  • Strong business and financial acumen, with experience prioritizing investments and driving cost-efficient, scalable solutions.
  • Proven ability to lead cross-functional initiatives and build strong relationships across diverse stakeholder groups in complex, matrixed environments.
  • Ability to shape practical strategies and operating models that define how AI and data are governed, prioritized, and applied across products and platforms.
  • Experience working with complex data ecosystems and multiple data sources, including internal, partner, and third-party data environments.
  • Comfortable operating in fast-paced, highly dynamic environments with significant complexity, ambiguity, and executive visibility.

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