Our Purpose

Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.

Title and Summary

Manager, Enterprise Data Enablement

Who is Mastercard? 

Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential. 

Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all. 

Within the AI and Data organization, the Data Strategy and Management team helps Mastercard manage data as a trusted enterprise asset. Through Data Enablement, we partner across the organization to deliver reusable, well-governed data products that improve access, quality, responsible use, and speed to value.

The Role

We are seeking a collaborative and strategic Manager of Data Enablement to shape how governed, contextual data supports AI-driven products, services, and analytics. This role combines product management, data governance, data analysis, and intelligent automation to expand enterprise data capabilities, improve operational efficiency, and deliver measurable business value.



In This Role You Will

Translate business priorities and customer needs into scalable requirements for data products, stewardship, metadata, and AI governance.

Advance Mastercard’s data product operating model and governance framework to promote enterprise reuse, consistency, and standardization.

Partner with engineering, platform, architecture, and product teams to prioritize and deliver data management and governance capabilities.

Apply AI and workflow automation to streamline governance, stewardship, intake, documentation, reporting, and decision support.

Embed governance by design to increase reuse, reduce duplication and friction, and measure adoption and business outcomes.

All About You

The ideal candidate for this role should have:

Proven leadership in shaping and delivering enterprise data, analytics, governance, AI, or technology products that produce measurable business outcomes.

Strong analytical leadership, with the ability to interpret complex datasets, schemas, and semantic models; translate findings into clear business insights and decisions; and measure adoption, performance, and business value.

Deep knowledge of data governance and management, with the ability to establish practices that strengthen metadata, data quality, stewardship, data products, data contracts, semantic layers, and lineage.

Demonstrated success leading AI and automation initiatives that improve business performance while maintaining strong governance, security, privacy, risk management, and appropriate oversight.

Ability to align stakeholders, set product direction, and translate complex business priorities into executable roadmaps, clear requirements, and measurable results.

Exceptional communication, influencing, and facilitation skills, with a track record of leading cross-functional teams through ambiguity and delivering accountable outcomes.

Preferred Experience

Intermediate to advanced expertise in enterprise data, analytics, and governance, including data quality, metadata, lineage, stewardship, semantic models, and governed data products.

Working to advanced knowledge of data platforms such as Microsoft Fabric, Dataverse, Databricks, AWS EMR, Atlan, and Collibra.

Intermediate to advanced knowledge of process automation technologies, including process mining, workflow automation, robotic process automation, Microsoft Power Platform, Microsoft Copilot, and agentic automation.

Experience using SQL, Excel, Power BI, Python, or similar tools to analyze data and communicate insights clearly.

Corporate Security Responsibility

All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:

• Abide by Mastercard’s security policies and practices;

• Ensure the confidentiality and integrity of the information being accessed;

• Report any suspected information security violation or breach, and

• Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.