채용

Technical Program Manager, AppStar Data Analytics & Engineering
New York, NY, USA
·
On-site
·
Full-time
·
1mo ago
필수 스킬
Project Management
Are you passionate about driving data and analytics programs that power security insights at scale? Do you want to make a difference by ensuring data-driven solutions are delivered on time and aligned with organizational needs?
As a Technical Program Manager on the App Star DNA team (Data & Analytics Engineering), you will be the connective tissue between our technical teams (Data Engineers, Business Intelligence Engineers, Data Scientists, Applied Scientists) and our customers across the App Star organization. You will ensure our team stays on track toward roadmap goals, work directly with customers to understand and execute their requests, collaborate with data providers to secure the data our team needs, and maintain a pulse on organizational needs and priorities.
You should be self-directed and open to new challenges, adept at prioritization, innovation, and collaborating with others. You'll routinely leverage your background in technical product ownership, process development, operational and management skills, project management, critical thinking, relationship-building, and problem-solving. You'll also find yourself challenged in unique ways when operating at the massive scale of Amazon, unique to a select few corporations in the world.
Amazon is continuously innovating new services and features for our customers. Our engineers invent, build, and sometimes break things to make them easier, faster, better, and more cost-effective. However, no matter what we're building—from websites to web services, AR to AI, drones to devices—security is always our top priority. The Amazon Application Security team focuses on working with our builders to provide experiences that our customers can trust. That means constantly learning new things and solving complex problems to protect the safety, security, and privacy of billions of lives on a global scale.
At Amazon, you'll be working with the best minds in technology and security. Learn and be curious here, and accelerate your career growth. You can take pride in knowing that your work is meaningful, having a positive impact on others and making the world a better place.
- Key job responsibilities
- Plan, organize, and manage all phases of data and analytics project lifecycles ensuring successful delivery. This includes defining success criteria, developing and managing project governance plans, project schedules, team goals, communication strategies, and project milestones.
- Collaborate with internal customers (senior business leaders, security teams, and App Star stakeholders) to understand their needs, their business, and how data and analytics can drive security improvements.
- Architect and manage internal scope of work documents with customers, clearly defining success criteria and timelines. Hold all stakeholders accountable to these documents through the project lifecycle, escalating as necessary.
- Work with data providers across Amazon to secure access to data sources needed by Team DNA, navigating data governance, privacy requirements, and technical integration challenges.
- Guide the evolution and adoption of internal data and analytics solutions, at times with complex priorities, prioritizing the work most beneficial to App Star and security teams.
- Own the creation and delivery of business proposals (growth, new areas of focus, etc.) and program metrics to leadership.
- Proactively identify and manage program risk, identifying paths to overcome risks, and escalating when necessary.
About the team
Why Amazon Security:
At Amazon, security is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for security across all of Amazon's products and services. We offer talented security professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud, devices, retail, entertainment, healthcare, operations, and physical stores.
App Star DNA Team (Data & Analytics Engineering)
The App Star DNA team supports the App Star organization, which is responsible for securing applications at Amazon. Our team is committed to building world-class data infrastructure that provides the foundation for analytics solutions, enabling visibility into security performance and driving data-informed decision-making across security teams. We work with massive volumes of security data to deliver the infrastructure that powers insights with immediate influence on how Amazon secures its applications and protects customer trust.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there's nothing we can't achieve.
Inclusive Team Culture:
In Amazon Security, it's in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest security challenges requires that we seek out and celebrate a diversity of ideas, perspectives, and voices.
Training and Career Growth:
We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, training, and other career-advancing resources here to help you develop into a better-rounded professional.
Basic Qualifications
- 3+ years of technical product or program management experience
- 2+ years of software development experience
- 3+ years of project management disciplines including scope, schedule, budget, quality, along with risk and critical path management experience
- Experience managing programs across cross functional teams, building processes and coordinating release schedules
Preferred Qualifications
- 3+ years of working directly with engineering teams experience
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 - 139,900.00 - 189,200.00 USD annually
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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
L2
L3
L4
L5
L6
L2 · Data Analyst L2
0개 리포트
$108,330
총 연봉
기본급
$43,332
주식
$54,165
보너스
$10,833
$75,831
$140,829
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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