채용
We are seeking an experienced Senior Program Manager to lead Analytics & Business Operations and drive operational excellence and data-driven decision making across the AWS In Communities organization. This role will be responsible for establishing scalable operational frameworks, developing analytics capabilities, and providing strategic insights that enable the team to maximize impact and efficiency.
The ideal candidate will combine strong program management skills with analytical expertise, demonstrating the ability to translate complex data into actionable insights while building systems and processes that scale. You will work cross-functionally with community engagement managers, program teams, Amazon social impact teams, Public Policy, finance and others to optimize investments in our communities and measure program effectiveness. The ideal candidate must bring strong AI skills and a proven track record of driving AI adoption within their organization, coupled with a strong interest in exploring how emerging AI technologies can transform community impact measurement and operational processes.
Key job responsibilities
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Operational Excellence
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Design and implement operational frameworks, processes, and tools that enable the In Communities team to scale efficiently
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Lead quarterly and annual planning processes (OP1/OP2), including resource allocation, budgeting, and goal setting
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Establish and maintain operational metrics and dashboards to track program performance, social impact outcomes and business outcomes
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Drive continuous improvement initiatives to streamline workflows and eliminate inefficiencies
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Analytics & Insights
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Build and maintain comprehensive analytics infrastructure to measure program impact, reach, and effectiveness
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Develop data models and reporting frameworks that provide visibility into key performance metrics
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Conduct deep-dive analyses to identify community sentiment trends, conduct community needs assessments, and opportunities
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Create executive-level reports and presentations that communicate insights and recommendations
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Drive AI adoption within the organization, and evolve mechanisms to leverage AI for deeper community insights
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Strategic Planning & Execution
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Support leadership in developing long-term community engagement strategy through data analysis and market research
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Identify and prioritize opportunities for program expansion, optimization, or sunset decisions
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Develop business cases and SROI analyses for new community initiatives and investments
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Track and report on progress against strategic goals and commitments
Basic Qualifications
- 5+ years of program or project management experience
- Experience using data and metrics to determine and drive improvements
- Experience owning program strategy, end to end delivery, and communicating results to senior leadership
- Bachelor's degree in Business, Analytics, Engineering, or related field
- 7+ years of experience in program management, business operations, or analytics roles
- Proven track record of building and scaling operational processes in fast-paced environments
- Experience managing complex, cross-functional programs with multiple stakeholders
- Strong analytical and problem-solving skills with ability to translate data into actionable insights
- Excellent written and verbal communication skills, including experience writing narratives and business documents
- Demonstrated ability to work independently and drive results with minimal supervision
Preferred Qualifications
- 2+ years of driving process improvements experience
- Master's degree, or MBA in business, operations, human resources, adult education, organizational development, instructional design or related field
- Experience in education, social impact, or community programs
- Experience with statistical analysis and predictive modeling
- Experience working in a high-growth technology company
- Track record of implementing automation and process improvements
- PMP, Six Sigma, or other relevant certifications
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, WA, Seattle - 115,600.00 - 160,000.00 USD annually
총 조회수
1
총 지원 클릭 수
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모의 지원자 수
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스크랩
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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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