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, Data Engineering & Analytics

The Open Banking Business Intelligence team is responsible for Analytics, Automation, and innovative development of Analytics services to address the evolving performance needs of all of Mastercard’s Open Banking customer segments. The OB BI team in P&E focuses on defining the strategic direction for Metrics and Key Performance Indicators to enable the successful implementation of our services with the end-customer. The team is responsible for looking across all the products/services across OB and driving Quality and Performance by democratizing access to Data and Analytics.

The candidate for this position will focus on leading the support for large account and prospect customers by leveraging data analytics to enable data-driven sales and decision-making across all OB products, services, and processes.

The Manager, Data Engineering will support Mastercard Open Banking products through client data ingestion, processing, and coordination. A Manager, Data Engineering will:

- Lead relationships with Mastercard Operations and Technology teams to facilitate the analytics tasks and diffusion of insights.
- Manage and mentors a team of analysts to analyze large volumes of transaction and product data to generate insights and actionable recommendations to drive business growth.
- Act as an expert resource within the team across subjects, including Mastercard’s Data Warehouse, data compliance, source control, data validation, and testing.
- Develop repeatable and scalable code that processes client data in an automated and efficient manner to ensure data availability in the platform is as real-time as possible.
- Lead the Team in their efforts to scale by identifying data-driven opportunities and developing relevant supporting materials.
- Collects and synthesizes feedback from clients, development, product, and sales teams for new solutions or product enhancements.
- Applies knowledge of metrics, measurements, and benchmarking to complex and demanding solutions.
- Oversee data mining, model development, time series analysis, and forecasting.
- Create highly predictive models using segmentation and regression techniques to drive improvements across operational performance, revenue, quality.
- Ensure the standardization of data-driven insights and advanced analytics solutions using tools such as Tableau, Alteryx, Snowflake, and MS Office suite.
- Develop effective working relationships with global teams and business partners.
- Proactively seeks new knowledge and structures project work to facilitate the capture of Intellectual Capital with minimal oversight.

Qualifications:
- Extensive experience in the Payments/Financial Services Industry or depth of knowledge in a consulting field
- Proven experience in hands-on business analysis, modeling, segmentation, and data mining using large volumes of granular data to deliver analytical solutions.
- Expertise and hands-on experience with RDBMS technologies, preferably with any of the following, Snowflake, Databricks, Microsoft SQL Server, the SSIS Stack and .NET.
- Proficiency with scripting languages (e.g., Powershell, Python, Bash, Korn Shell, AWK scripting, C Programming, Oracle SQL, PL/SQL).
- Strong skills in Tableau, Alteryx, Python, MS-Excel, and PowerPoint.
Platforms/Environments: Snowflake, SQL, Tableau, Alteryx, Python.
- Exposure to collecting and/or working with data including standardizing, summarizing, offering initial observations, and highlighting inconsistencies.
- Strong understanding of the application of analytical methods and data visualization to support business decisions.
- Ability to understand complex operational systems and analytics/business intelligence tools for the delivery of information products and analytical offerings to a large, global user base.
- Ability to work in a fast-paced, deadline-driven environment as part of a team and as an individual contributor.
- Ability to easily move between business, analytical, and technical teams and articulate solution requirements for each group.
- Excellent written and oral communication skills.
- Bachelor’s degree in an engineering or other quantitative field (e.g., Computer Science, Engineering, Operations Research). Master’s degree preferred.

Location Requirement: This is a hybrid position based in Mastercard's O'Fallon, Missouri location.

This role is not eligible for Mastercard’s work authorization sponsorship. As such, candidates must be eligible to work in the United States, now as well as in the future, without employer sponsorship.

#LI-TE1 #AI

Mastercard is an inclusive equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact reasonable_accommodation@mastercard.com and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly.

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.

In line with Mastercard’s total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary based on location, experience and other qualifications for the role and may be eligible for an annual bonus or commissions depending on the role. Mastercard benefits for full time (and certain part time) employees generally include: insurance (including medical, prescription drug, dental, vision, disability, life insurance), flexible spending account and health savings account, paid leaves (including 16 weeks new parent leave, up to 20 paid days bereavement leave), 10 annual paid sick days, 10 or more annual paid vacation days based on level, 5 personal days, 10 annual paid U.S. observed holidays, 401k with a best-in-class company match, deferred compensation for eligible roles, fitness reimbursement or on-site fitness facilities, eligibility for tuition reimbursement, gender-inclusive benefits and many more.

Pay Ranges

O'Fallon, Missouri: $138,000 - $221,000 USD