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トレンド企業

トレンド企業

採用

求人Mastercard

Director - BizOps

Mastercard

Director - BizOps

Mastercard

Dublin, Ireland

·

On-site

·

Full-time

·

3w ago

必須スキル

Python

AWS

Spark

Machine Learning

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

  • Director
  • Biz Ops

We are seeking a highly skilled and experienced Data Platforms Director to lead a team of Site Reliability Engineers (SREs) and collaborate with peers across Mastercard. This role is responsible for coordinating and enforcing Biz Ops practices, ensuring the production readiness of platforms, and managing business risks associated with customer interactions on Mastercard’s technology platforms.

Key Responsibilities:

  • Lead a team of SREs to ensure the operational readiness of platforms through planning, testing, and implementation management.
  • Coordinate and enforce change management procedures across the platforms.
  • Manage incident and problem management processes to minimize customer-impacting events.
  • Handle customer inquiries and ensure smooth product launches with customer implementations.
  • Link technology recommendations with business value and continuously monitor platform health indicators.
  • Proactively manage production and change activities to maximize customer experience and increase the overall value of supported applications.
  • Streamline and standardize traditional application-specific support activities.
  • Centralize points of interaction for both internal and external partners by communicating effectively with all key stakeholders.
  • Align product and customer-focused priorities with operational needs.

Technical Responsibilities:

  • Design and implement scalable big data solutions using AWS services such as Amazon S3, Amazon Redshift, Amazon Kinesis, and AWS Glue.
  • Automate ETL processes to extract, transform, and load large datasets from various sources.
  • Utilize cloud technologies to manage and optimize data storage, processing, and analysis.
  • Implement data governance and data quality best practices to ensure the integrity and security of data solutions.
  • Leverage machine learning and AI technologies to enhance data-driven decision-making processes.
  • Utilize tools such as Jupyter Notebooks, Spark, Python, H2O, R-Studio, and Angoss for data analysis and visualization.
  • Manage backend systems including Oracle, CDP, and CEPH to support data-intensive applications.
  • Ensure the seamless integration of data solutions with existing infrastructure and applications.

Required Qualifications:

  • Bachelor's degree in Computer Science, Information Technology, or a related field.
  • Proven experience in application development and staying current with industry trends and standards.
  • Successful track record in supporting production applications and facilitating change and incident activities.
  • Experience working across development, operations, and product teams to prioritize needs and resolve differences through thought leadership and partnership.
  • Strong knowledge of cloud technologies, big data solutions, ETL processes, and AWS services.
  • Proficiency in SQL and NoSQL databases.
  • Excellent problem-solving skills and attention to detail.
  • Strong communication and collaboration skills.

Preferred Qualifications:

  • AWS Certified Big Data – Specialty or similar certification.
  • Experience with other cloud platforms such as Azure or Google Cloud.
  • Knowledge of machine learning and AI technologies.
  • Familiarity with data governance and data quality best practices.
  • Experience in customer support and delivery leadership roles.
  • Experience with defining and delivering long-term strategies.
  • Financial oversight experience and a track record of financial and process efficiencies.
  • Ability to handle difficult situations and make decisions with a sense of urgency.
  • Proactive risk identification and communication to prevent incidents across all lines of business.

Additional Information: This role offers the opportunity to work on cutting-edge technologies and contribute to the development of innovative data solutions. The successful candidate will be part of a dynamic team that values creativity, collaboration, and continuous learning.

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.

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模擬応募者数

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Mastercardについて

Mastercard

A financial network that processes payments between banks and cardholders

10,001+

従業員数

Purchase

本社所在地

$360B

企業価値

レビュー

3.6

10件のレビュー

ワークライフバランス

4.1

報酬

3.4

企業文化

4.0

キャリア

2.3

経営陣

3.2

65%

友人に勧める

良い点

Good benefits and compensation

Collaborative environment and great colleagues

Supportive work-life balance

改善点

Limited career advancement opportunities

Management and leadership issues

Heavy workload and stress

給与レンジ

51件のデータ

Director

Director · Director, Enterprise Strategy

1件のレポート

$226,020

年収総額

基本給

$196,539

ストック

-

ボーナス

-

$226,020

$226,020

面接体験

7件の面接

難易度

3.3

/ 5

期間

14-28週間

内定率

29%

体験

ポジティブ 0%

普通 86%

ネガティブ 14%

面接プロセス

1

Application Review

2

Recruiter Screen

3

Technical Interview

4

Behavioral Interview

5

Final Round/Super Day

6

Offer Decision

よくある質問

Coding/Algorithm

Technical Knowledge

Behavioral/STAR

System Design

Past Experience