\\\\Our Purpose\\\\ \Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, were 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, Data Engineer Manager, Data Engineering Technical Implementation (TI) is part of the Services group, one of Mastercard's fastest-growing organizations. The Services group is responsible for acquiring, engaging, and retaining customers by managing fraud and risk, enhancing cybersecurity, and improving the digital payments experience. We provide value-added services and leverage expertise, data-driven insights, and execution. 100 of the largest corporations in the world use these products and services, which employ patented algorithms and workflows to design business experiences and interpret real-world data that evaluate, target, and refine business programs. TI is a core component to these services, managing the data acquisition, integration, and transformation of client provided data for global engagements. Role description: The Manager, Data Engineering on the TI team will lead and participate on data management aspects of client engagements to deliver solutions under the Services group, play a large leadership role in enhancing the automation capabilities of the team, and contribute towards fostering a high-performance collaborative workplace. A Manager will: Manage the process of data delivery on teams by overseeing other Data Engineers to deliver on-time, accurate, high-value, robust data solutions across multiple clients, solutions, and industry sectors Oversee the execution of data projects through design, implementation, automation, and maintenance of large-scale enterprise data and data movement (ETL) processes for a global client base Build trust-based working relationships with peers and clients across local and global teams Leverage and contribute to industry best practices including proper use of source control, code reviews, data validation and testing Enhance big data pipelines using Python, R, SSIS and PowerShell to address complex technical challenges and seamless communication with several cloud storage technologies Leverage new SQL Server features such as Columnstore Indexes, In-Memory OLTP, Incremental statistics, Trace Flags, SQL CLR functions, window aggregate functions, and parallel computing algorithms to reduce the processing time of multi-billion row data sets Play a lead role and oversee the activities of Data Engineers and ensure the efficient execution of their duties. Effectively manage projects by leading efforts such as setting team goals, sprint planning, workplan scoping and assignment, and retrospectives Lead large-scale efforts to improve the automation capabilities of the team. Identify and implement techniques to optimize and routinize repeatable tasks for Test & Learn and other data setups. Collaborate with other teams to further data automation capabilities Constantly seek out new improvements and enhancements to existing data infrastructure, and guide the creation and implementation of critical game-changing enhancements to assist the overall automation goals for the team Act as an expert data and technical resource within the team and region, and provide mentorship and guidance to multiple teams and product areas Act as an advisor/mentor and assist in managing careers for junior team members Lead Services-wide efforts such as recruiting, training, and internal investment areas Work with other Managers, Directors, and team leaders to create and implement the future vision of the team's capabilities and growth across multiple areas and functions within the Services group Comply with and uphold all Mastercard internal policies and external regulations Minimum job requirements: BS/BE/BTech in a quantitative field (e.g., Computer Science, Statistics, Econometrics, Engineering, Mathematics, Operations Research, Finance, Accounting, General Business). Work experience in relevant fields is also sufficient Excellent English quantitative, technical, and communication (oral/written) skills; is an excellent listener Expertise and hands-on experience with RDBMS technologies, and with Microsoft SQL Server Proficiency with at least one scripting language (PowerShell, Python) Proven self-motivated leader with experience working in multiple teams spread across several geographies Demonstrated excellent skills in the ability to innovate, think critically and disaggregate problems. Able to provide oversight, validation and quality control their own and the teams work Demonstrated skills in managing projects, people, and tasks across multiple geographies and business units Ability to easily move between business, data management, and technical teams. Ability to quickly intuit the business use case and identify technical solutions to enable it Skilled at balancing multiple projects and differing project priorities Expertise in working with global offices across several time zones Proven track record of leading and innovating on large efforts with demonstrated successes Years of relevant experience: 8 - 15 years Fields of educational study: Computer Science, Statistics, Econometrics, Engineering, Mathematics, Operations Research \\\\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 Mastercards 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 Mastercards guidelines.

A Bachelor's degree in a quantitative field such as Computer Science, Statistics, Econometrics, Engineering, Mathematics, Operations Research, Finance, Accounting, or General Business is required. Alternatively, relevant work experience is also sufficient. The role demands excellent English quantitative, technical, and communication skills, with a strong ability to listen. Expertise and hands-on experience with RDBMS technologies and Microsoft SQL Server are essential. Proficiency in at least one scripting language, such as PowerShell or Python, is necessary. The candidate must be a self-motivated leader with experience working across multiple teams and geographies, demonstrating innovation, critical thinking, and problem-solving abilities.