Company
MasterCard
Description
Our Purpose
- Develop data requirements for new R&C product developments and complete thorough design reviews to ensure the use of data and analytics can deliver the required product performance, manages risk, and enables reuse of data across Mastercard.
- Assess data feasibility and the potential differentiation we can create for new R&C product propositions or proofs of concept. Provide guidance to product and engineering teams to enable rapid refinement and testing based on data availability and requirements.
- Identify the data dependencies and synergies across products, segments, lines of business, and third-party data sources and options to manage them.
- Maintain a strong understanding of the external data landscape in R&C including the data and analytics different customer groups (e.g., merchants, distributors, CPGs) collect and perform, how data flows between them, and where Mastercard data and services can create additional value. Based on that understanding, develop strategic positioning for data assets and capabilities that could be acquired to advance the R&C strategy.
- Work with product and technology teams to develop plans and roadmaps to guide how Mastercard can build out the required scale of data assets and capabilities, including data rights, to deliver products across retail and commerce and manage the regional and global data dependencies.
- Develop educational material and train, as needed, on data usage and data literacy
- Work with data governance, data platforms and technology teams to define required changes to standards, processes, and systems.
- Experience of retail, supply chain, or e-commerce related data and analytics, for example delivering analytics at a retailer or CPG or delivering data products, insights, or consulting solutions for the retail sector and related supply chains and partnerships.
- Advanced experience working with data products, either internal product development and management, in an acquisition or external partnership, or with governance and evaluation.
- Bachelor’s degree in science, mathematical, engineering, or technology or equivalent experience.
- Ability to communicate to internal and external stakeholders about the value of data; strong written and oral communication skills; ability to present complicated and technical concepts in a clear and cogent manner.
- Strong interpersonal skills; ability to build strong relationships across the enterprise.
- Data management, governance, or data analytics experience preferred.
- 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.
- 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.
Identifier
4e052f5e5c2c39016f70f3a7e0e48b55
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Ready to join the team? We'd love to have you!