Director, Global Network Economics & Value Optimization

Mastercard

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Quick summary

Work type: On-site
Location: Purchase, NY
Salary: $177,000–$284,000 / yr
Posted: 2 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $235k

This role $230k

$164k $297k

below market most similar roles pay here above market

This role pays more than 51% of similar roles. Most pay $189,753–$281,000 — the blue band above. At the midpoint, this role pays about $230k versus about $235k for comparable roles.

Based on 240 similar postings.

Employer

About Mastercard

Mastercard is a global technology company in the payments industry, processing transactions between financial institutions and merchants using its extensive network of credit, debit, and prepaid card products. Industry: Payments Technology & Financial Services

Mastercard currently has 151 open roles on FindRole.

Listed pay typically runs $122,000–$207,000 across 133 roles with salary data.

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At a glance

TL;DR · Director, Global Network Economics & Value Optimization

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The Director, Global Network Economics & Value Optimization leads the Global Network Economics and Value Optimization team to execute strategic economics changes aligned with product and market strategies. This role involves analyzing market trends, developing new economic models, and collaborating with regional pricing teams to maximize revenue and profitability. Key responsibilities include building scalable analytical solutions, performing simulations, creating predictive models, and developing advanced reporting capabilities for large data volumes. The position requires expertise in SQL, Python, Scala, Hive, Impala, Spark, and Snowflake, alongside experience with Cloudera Hadoop, Microsoft BI Stack, and Alteryx. Candidates must demonstrate proficiency in data pipeline creation using Apache Airflow or NIFI. The work focuses on solving complex business questions regarding pricing and interchange strategies within the payments and financial institution domain.

Skills

SQL Python Scala Snowflake Spark Apache Airflow Tableau Power BI Alteryx Cloudera Hadoop Hive Impala SSIS Machine Learning Predictive Analytics Data Modeling SQL Server Microsoft BI Stack

What you'll do

Develop data-driven analytical solutions to support pricing and interchange strategies.
Perform simulations, create predictive models, and conduct profitability analyses.
Architect and maintain advanced reporting and data visualization capabilities for large datasets.
Translate stakeholder needs into technical analyses and present findings to clients.
Derive insights from extracted data to solve critical business questions and market trends.
Delegate and review work for junior colleagues while providing ongoing technical mentorship.
Manage project lifecycles to deliver high-quality tools within agreed timelines and budgets.

What we're looking for

Prior experience in data management, data mining, data analytics, data modeling, reporting, data product development, and quantitative analysis.
Advanced SQL skills with the ability to write optimized queries for large data sets.
Experience with platforms including Cloudera Hadoop, Big data technology stack, SQL Server, Microsoft BI Stack, Cloud, and Snowflake.
Experience with Python, Scala, Hive, Impala, Spark, and Cloud technologies.
Experience in data pipeline creation via tools such as Alteryx or SSIS.
Advanced knowledge of job scheduling tools such as Apache Airflow or NIFI.
Experience with data visualization tools such as Tableau, Alteryx, and/or Power BI.
Experience with machine learning algorithms, predictive analytics, optimization models, and leveraging APIs (preferred).
Experience in Financial Institution or Payments (preferred).

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