채용
Amazon Leo is Amazon’s low Earth orbit satellite broadband network. Its mission is to deliver fast, reliable internet to customers and communities around the world, and we’ve designed the system with the capacity, flexibility, and performance to serve a wide range of customers, from individual households to schools, hospitals, businesses, government agencies, and other organizations operating in locations without reliable connectivity.
Export Control Requirement:
Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.
As a SAP MDG Product Manager, you will maintain and develop the MDG functionality for Leo Production Systems keeping in mind requirements from customers and other stakeholders. This role will be responsible for building a long-term data Master Data Governance System aimed at improving process efficiency and master data accuracy.
Key job responsibilities
Define and drive the enterprise Master Data Governance (MDG) strategy by translating business needs into scalable system solutions and leading activities across design, build, testing, training, and deployment. Establish and enforce data governance standards, policies, and procedures to ensure high-quality, consistent, and compliant material master data across LEO, monitored through defined KPIs and SLAs.
Configure and support SAP MDG for Material Master, including data models, governance structures, validation rules, and workflows to enable controlled data creation and maintenance. Develop and maintain business rules, approval processes, and change request workflows to ensure accuracy, traceability, and compliance across the material lifecycle.
Design, optimize, and support workflow processes while troubleshooting issues related to approvals, data replication failures, and process inefficiencies. Ensure seamless integration of MDG with SAP S/4HANA, core modules, and non-SAP systems to maintain reliable data distribution and consistency.
Collaborate with technical teams on BRF+, UI modeling, and data replication frameworks, while analyzing and delivering new business requirements and enhancements. Partner with cross-functional stakeholders to drive execution, resolve data and integration issues, and continuously improve governance practices through standardization and automation.
A day in the life
Enable seamless integration of MDG with SAP S/4HANA, MM, EWM, QM, PP, Finance, and non-SAP systems, ensuring reliable data distribution and consistency across platforms.
Govern the material lifecycle by enforcing standardization, harmonization, and compliance across all stages of material master data management.
Basic Qualifications
- Bachelor's degree
- Experience owning/driving roadmap strategy and definition
- Experience in representing and advocating for a variety of critical customers and stakeholders during executive-level prioritization and planning
- 5+ years of hands-on SAP MDG configuration experience with a minimum of 2 full end-to-end implementations, preferably in a manufacturing environment with a strong focus on Material Master.
- Experience implementing and supporting SAP MDG solutions, including data modeling, governance frameworks, and workflow configuration.
- Strong understanding of data governance principles, data quality management, and master data lifecycle processes.
- Experience integrating SAP MDG with SAP S/4HANA and core modules such as MM, PP, EWM, QM, and Finance.
- Hands-on experience with BRF+, workflow design, change request management, and data replication frameworks.
- Experience in troubleshooting data issues, workflow errors, and integration challenges.
Preferred Qualifications
- Experience in building and driving adoption of new tools
- 10+ years' hands-on experience in SAP MDG
- Knowledge of SAP MM, PP or QM Modules
- Experience of working in Aerospace/Defense industries and in ITAR environments
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, NY, New York - 166,300.00 - 225,000.00 USD annually
USA, VA, Arlington - 151,200.00 - 204,600.00 USD annually
USA, WA, Bellevue - 151,200.00 - 204,600.00 USD annually
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총 지원 클릭 수
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Amazon 소개

Amazon
PublicAmazon.com, Inc. is an American multinational technology company engaged in e-commerce, cloud computing, online advertising, digital streaming, and artificial intelligence.
10,001+
직원 수
Seattle
본사 위치
$1.5T
기업 가치
리뷰
2.9
10개 리뷰
워라밸
2.8
보상
3.7
문화
2.5
커리어
2.3
경영진
2.1
35%
친구에게 추천
장점
Good pay and compensation
Strong benefits package
Flexible scheduling options
단점
Poor management and leadership
Limited growth and promotion opportunities
High stress and demanding work environment
연봉 정보
2개 데이터
Junior/L3
M3
M4
M5
M6
Mid/L4
Senior/L5
Staff/L6
VP
Director
Junior/L3 · Product Manager L5
0개 리포트
$187,921
총 연봉
기본급
-
주식
-
보너스
-
$159,732
$216,110
면접 경험
10개 면접
난이도
3.7
/ 5
소요 기간
21-35주
합격률
20%
경험
긍정 10%
보통 10%
부정 80%
면접 과정
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Phone Screen
5
Onsite/Virtual Loop
6
Team Matching
7
Offer
자주 나오는 질문
Coding/Algorithm
System Design
Behavioral/STAR
Leadership Principles
Technical Knowledge
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