MasterCard Incorporated (NYSE: MA) or MasterCard Worldwide is an American multinational financial services corporation headquartered in the MasterCard International Global Headquarters, Purchase, New York, United States, in Westchester County. The Global Operations Headquarters is located in O'Fallon, Missouri, United States, a suburb of Saint Louis, Missouri. Throughout the world, its principal business is to process payments between the banks of merchants and the card issuing banks or credit unions of the purchasers who use the "MasterCard" brand debit and credit cards to make purchases. MasterCard Worldwide has been a publicly traded company since 2006. Prior to its initial public offering, MasterCard Worldwide was a cooperative owned by the 25,000+ financial institutions that issue its branded cards. MasterCard, originally known as Interbank/Master Charge, was created by several California banks as a competitor to the BankAmericard issued by Bank of America, which later became the Visa credit card issued by Visa Inc.. From 1966 to 1979, MasterCard was called "Interbank" and "Master Charge".
THE OPPORTUNITY
Reporting to the Head of Enterprise Data Management, the Data Architect will support designing, executing, and managing the Foundation’s data architecture in alignment with the Digital and Data Information Technology’s (DDIT) strategic goals and data governance standards. This role will help define the Foundation’s data architecture and enterprise data strategy within the newly established Data and Analytics function. As part of a small, agile team, the Data Architect will develop tailored approaches to address unique business needs while collaborating with cross-functional teams to deliver digital solutions that enhance operational efficiency and support the Foundation’s 2030 vision.
WAYS YOU CAN CONTRIBUTE
- Support the Data Governance and Processing team in defining and implementing data quality metrics and monitoring processes to ensure data accuracy, completeness, and reliability.
- Collaborate with stakeholders across the Foundation, including Programs and Impact Functions, to ensure consistent and effective data management practices across all departments and programs.
- Work with IT and data teams to implement and maintain a data architecture that supports governance objectives, including data integration, metadata management, and data lineage tracking.
- Assist the Head of Enterprise Data Management in defining a scalable, fit-for-purpose Data Architecture strategy aligned with the Foundation’s core objectives.
- Partner with the Enterprise Architecture team to co-create solutions that meet stakeholder needs across the Foundation.
- Participate in the Technology Solution Forum, advising on solution architecture and ensuring adherence to data architecture standards across projects.
- Collaborate with the Enterprise Data Management and Data and Analytics teams to design and implement data models that support system interoperability, BI, and analytics requirements, adhering to Data Architecture principles to ensure efficient and reliable data flows across platforms.
- Work closely with the Digital and Data Information Technology (DDIT) team, the wider Foundation, and other key stakeholders to align on data architecture priorities and practices. Maintain and update architecture-related templates, guidelines, and deliverables.
WHO YOU ARE
- Bachelor’s degree in Data Science, Information Management, Computer Science, or a related field (Master’s degree preferred).
- Minimum of 7 years of experience in data architecture, data engineering, or a related role.
- Experience designing and implementing data architectures for enterprise environments, particularly building capabilities within an immature organization.
- Familiarity with project management tools, Microsoft Office Suite, and collaboration platforms.
- Proficiency in database design, data modelling, and data management technologies (e.g., SQL, NoSQL, data warehousing, data lakes).
- Experience with cloud data platforms, including Microsoft Azure.
- Hands-on expertise with ETL tools and data integration platforms.
- Strong analytical, problem-solving, and decision-making skills.
- Comfortable working flexibly and taking on a range of responsibilities to support their team.
- Excellent organizational skills, with the ability to prioritize competing demands, manage multiple projects simultaneously, and meet deadlines in a fast-paced environment.
- Excellent communication and interpersonal skills, with the ability to communicate effectively across a large, multi-cultural organization.
- Demonstrated commitment to the Foundation's equity, inclusion, and social impact values, with a passion for driving positive change and empowering underserved communities globally.
Method of Application
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