채용

Continuous Improvement PM, Amazon Customer Excellence Systems (ACES)
Mexico City, MEX
·
On-site
·
Full-time
·
1mo ago
The WW Benchmarking is the owner for the Benchmarking Program for AMZL Last Mile Productivity. This program entails the setting of performance targets as well as leading the collection of best practices from best in class (BIC) sites, and implementation of governance mechanisms to ensure implementation of these BIC standards/best practices. From an analytical side, the WW Benchmarking manager will define and execute the analytical processes required to produce the targets all networks rely on. The candidate will manage an analytically-based initiative, notably coordinating technical and operational headcount. This role will require the Senior Program Manager to work with multiple organizations, and to prioritize a large number of requests.
- Key job responsibilities
- Target Setting: You will own the creation of accurate clusters of comparable sites for the region, identify statistically significant exceptions to apply to targets, and align VP level leadership for approval. This process will be done for OP1 and OP2 within the region. You will be measured off of execution to project timelines, improvement in customer SLA’s, and reduction YoY in time spent on exception cases
- Best Practices: As part of the global Best at Amazon program, you will be the single threaded leader of the program for intake, approval, implementation and quantification of best practices from MX and global network. The expectation is that you can build a framework for executing the program in the region with relevant support teams. This would be done across people, safety, cost, environment, quality, and DEA. The measurement of success is based off dwell time of requests, conversion rate of best practices submitted, and savings or bps improvement following implementation. Governance: The expectation is that you take part in the regional governance mechanism for validating adherence to BIC standard work
- Travel: The role will require approx 20% travel
- Analyze data and dive deep into processes to derive insights for enhancing systems
- Ability to lead not only at the strategic level, but also tactically day-to-day by diving deeply into business and technical domains
- Set clear objectives for programs, leveraging data analytics to drive improvements and achieve metrics
- Serve as a trusted intermediary between global teams and local operations to ensure effective adoption of global standards
- Support process improvements, best practice sharing, and standardization across all Amazon Logistics processes using LEAN principles
- Measure and establish standard rates for standard work to be used for labor and capacity planning
- Provide metrics inputs that support compliance of standard work and that drives improvements in cost and quality
About the team
At Amazon we embrace our differences and we are committed to furthering our culture of inclusion. We host annual and ongoing learning experiences.
Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.
Work Life Balance:
We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.
Mentorship & Career Growth:
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional.
Basic Qualifications
- Speak, write, and read fluently in English
- Experience working cross-functionally with tech and non-tech teams, including operations
- 3+ years of experience defining program requirements and using data and metrics to determine improvements
- 3+ years of Experience using Excel and querying relational databases with SQL (or other query language), and working with large complex data sets to design models and scenarios
- Bachelor's degree
Preferred Qualifications
- Experience working with Excel and large-scale data mining and reporting tools such as Python, SQL or Tableau
- Experience in transportation or supply chain
- Experience that includes strong analytical skills, attention to detail, and effective communication abilities
- Experience driving technological and process innovation
- Experience working with global teams and diverse partners
- Experience collaborating with cross-functional teams
- Experience managing tasks with statistical, financial, strategic and operational analysis and modeling involving large data sets
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.
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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
4개 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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