Jobs
Benefits & Perks
•Work Life balance
•Salary and bonus
•Development budget
•Health benefits
•CPA reimbursement
•Stock options
•Healthcare
•Equity
Required Skills
Tableau
Adaptive Insights
NetSuite
At Amazon, we're working to be the world’s most customer-centric company. Driving innovation on behalf of customers is core to our mission. This is an exciting opportunity to join one of the most strategic, impactful, and fastest growing areas within Amazon.
This role requires one to be a self-starter with good business modeling skills, keen attention to detail and good track record of collaborating with diverse stakeholders. This role has regular interaction with senior leadership and stakeholders across Amazon and requires good verbal and written communication skills. The candidate will need to be capable of operating with a high degree of autonomy and hence needs to demonstrate a high degree of comfort with ambiguity besides holding a high bar on performance. The candidate will need to have a proven track record for hiring, developing and retaining the best talent.
Key job responsibilities
Learn and stay current with technical developments in the field of Automation Technology and including Amazon AI services.
Lead a team of highly talented RPA and automation engineers responsible for managing all aspects of mission-critical systems
Partner with business stakeholder and product managers around automation technology/RPA capability communication/articulation, translate technical jargon and methodologies to business absorb able language
Research and drive new and innovative AI/ML approaches
Enforce a high bar for operational excellence of the team's services
Recruit high performing team members, and provide them mentorship and coaching
Establish team mechanisms for project planning, product development, engineering excellence, operational excellence, and team building mechanisms.
Basic Qualifications
-3+ years of program or project management experience
-3+ years of working cross functionally with tech and non-tech teams experience
-3+ years of defining and implementing process improvement initiatives using data and metrics experience
-Bachelor's degree
-Knowledge of Excel (Pivot Tables, VLook Ups) at an advanced level and SQL
-Experience defining program requirements and using data and metrics to determine improvements
Preferred Qualifications
-3+ years of driving end to end delivery, and communicating results to senior leadership experience
-3+ years of driving process improvements experience
-Experience in stakeholder management, dealing with multiple stakeholders at varied levels of the organization
-Experience building processes, project management, and schedules
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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About Amazon

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+
Employees
Seattle
Headquarters
Reviews
2.9
10 reviews
Work Life Balance
2.8
Compensation
3.7
Culture
2.5
Career
2.3
Management
2.1
35%
Recommend to a Friend
Pros
Good pay and compensation
Strong benefits package
Flexible scheduling options
Cons
Poor management and leadership
Limited growth and promotion opportunities
High stress and demanding work environment
Salary Ranges
2 data points
L2
L3
L4
L5
L6
L2 · Data Analyst L2
0 reports
$108,330
total / year
Base
$43,332
Stock
$54,165
Bonus
$10,833
$75,831
$140,829
Interview Experience
10 interviews
Difficulty
3.7
/ 5
Duration
21-35 weeks
Offer Rate
20%
Experience
Positive 10%
Neutral 10%
Negative 80%
Interview Process
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Phone Screen
5
Onsite/Virtual Loop
6
Team Matching
7
Offer
Common Questions
Coding/Algorithm
System Design
Behavioral/STAR
Leadership Principles
Technical Knowledge
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