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트렌딩 기업

트렌딩 기업

채용

채용Mastercard

Director - BizOps

Mastercard

Director - BizOps

Mastercard

Dublin, Ireland

·

On-site

·

Full-time

·

3w ago

필수 스킬

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.

총 조회수

0

총 지원 클릭 수

0

모의 지원자 수

0

스크랩

0

Mastercard 소개

Mastercard

A financial network that processes payments between banks and cardholders

10,001+

직원 수

Purchase

본사 위치

$360B

기업 가치

리뷰

3.6

10개 리뷰

워라밸

4.1

보상

3.4

문화

4.0

커리어

2.3

경영진

3.2

65%

친구에게 추천

장점

Good benefits and compensation

Collaborative environment and great colleagues

Supportive work-life balance

단점

Limited career advancement opportunities

Management and leadership issues

Heavy workload and stress

연봉 정보

51개 데이터

Director

Director · Director, Enterprise Strategy

1개 리포트

$226,020

총 연봉

기본급

$196,539

주식

-

보너스

-

$226,020

$226,020

면접 경험

7개 면접

난이도

3.3

/ 5

소요 기간

14-28주

합격률

29%

경험

긍정 0%

보통 86%

부정 14%

면접 과정

1

Application Review

2

Recruiter Screen

3

Technical Interview

4

Behavioral Interview

5

Final Round/Super Day

6

Offer Decision

자주 나오는 질문

Coding/Algorithm

Technical Knowledge

Behavioral/STAR

System Design

Past Experience