# Director, Global Network Economics & Value Optimization

**Company**: Mastercard
**Location**: Purchase, New York
**Experience**: senior
**Job type**: full-time
**Salary**: $177,000 - $284,000 USD
**Category**: Data Science
**Industry**: Finance

**Apply**: https://mastercard.wd1.myworkdayjobs.com/en-US/CorporateCareers/job/Purchase-New-York/Director--Global-Network-Economics---Value-Optimization_R-292438?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_1444bc41-139

## Description

Mastercard is seeking a Director, Global Network Economics & Value Optimization to lead the execution of strategic Economics & Value Optimization initiatives that are complex and require a global view and coordination.

The successful candidate will be responsible for developing data-driven innovative scalable analytical solutions and identifying opportunities to support Pricing and Interchange team in a quantitative manner and facilitate informed recommendations / decisions.

Key responsibilities include:

- Performing simulations and creating predictive models, behavioral segmentation frameworks, profitability analyses, ad hoc reporting, and data visualizations

- Working closely with global & regional pricing teams to architect, develop, and maintain advanced reporting and data visualization capabilities on large volumes of data

- Contributing to the development of custom analyses and solutions, deriving insights from extracted data to solve critical business questions

- Translating client/stakeholder needs into technical analyses and/or solutions in collaboration with internal and external partners and presenting findings and outcomes to clients/stakeholders

- Delivering high-quality project solutions and tools within agreed-upon timelines and budget parameters and conducting post-implementation reviews

- Serving as a primary point of contact for client managers and liaising frequently with internal stakeholders to gather data or inputs needed for project work

- Delegating and reviewing work for junior-level colleagues to ensure downstream applications and tools are not compromised or delayed

- Serving as a mentor for junior-level colleagues, and developing talent via ongoing technical training, peer review, etc.

The ideal candidate will have:

- Intellectual curiosity and enthusiasm to apply data to discover and solve business challenges and questions

- Prior experience in data management, data mining, data analytics, data modeling and reporting, data product development, and quantitative analysis

- Advanced SQL skills, ability to write optimized queries for large data sets

- Experience on Platforms/Environments: Cloudera Hadoop, Big data technology stack, SQL Server, Microsoft BI Stack, Cloud, Snowflake, and other relevant technologies

- Experience on Python, Scala, Hive, Impala, Spark, Cloud, and other related technologies

- Experience in data pipeline creation via tools such as Alteryx, SSIS, etc.

- Advanced knowledge of any of the job scheduling tools such as Apache Airflow, NIFI, and other related tools

- Experience with any one of data visualization tools (Tableau, Alteryx, and/or Power BI/similar tools)

- Experience with data validation, quality control, and cleansing processes to new and existing data sources

- Experience developing complex analytics applications and data consulting

- Financial Institution or a Payments experience a plus

- Problem-solving mentality, resourcefulness, and creativity in identifying solutions

- Strong interpersonal skills, ability to build professional relationships, influence, and negotiate

- Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner with both technical and non-technical customers

- Software development life cycle experience on analytics engagements across strategy, design, and implementation

- Prior experience with machine learning algorithms and methods, predictive analytics, and optimization models and leveraging APIs is desirable

## Skills

### Required
- SQL
- Python
- Scala
- Hive
- Impala
- Spark
- Cloud
- Snowflake
- Tableau
- Alteryx
- Power BI
- Apache Airflow
- NIFI
- Cloudera Hadoop
- Big data technology stack
- SQL Server
- Microsoft BI Stack

### Nice to have
- machine learning algorithms
- predictive analytics
- optimization models
- leveraging APIs
- Financial Institution
- Payments experience

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Source: [Apply at mastercard.wd1.myworkdayjobs.com](https://mastercard.wd1.myworkdayjobs.com/en-US/CorporateCareers/job/Purchase-New-York/Director--Global-Network-Economics---Value-Optimization_R-292438?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)