Manager I, Amazon Now Ops, Central Operations

Amazon is hiring a Manager I, Amazon Now Ops, Central Operations in Hyderabad, India. Level rates it ; you can apply on Amazon.

Level's read on this job

Little AI ●○○○ is how Level rates this role: aI is not part of the work.
Level classifies it as a mid-level role.
Level lists 20,000+ other open roles at Amazon.
The role was posted in the last few days.

AI in this role

Global Specialty Fulfillment Central Operations (GSF CO) functions as the Command-and-Control Center for Fresh, SSD operations in India, Middle East and Singapore geographies, and Amazon Now (Quick Commerce) operations in India, Middle East, and North America. We partner strategically with Operations, business teams, ACES, and S&OP teams, providing expertise in capacity management, defect reduction, holiday planning, contingency management, and automation of redundant workflows.

Key job responsibilities
Own operational performance metrics for your assigned geographical region, conducting regular deep dives into data to identify trends, opportunities, and areas for improvement
Identify and eliminate operational defects leading to negative customer experiences through root cause analysis and implementing preventative measures
Partner with operations teams to understand daily performance challenges, diagnose bottlenecks, and develop strategies to reduce quality issues and business waste
Represent Central Operations in business stakeholder meetings, effectively communicating operational status, challenges, and proposed solutions
Transform raw data into clear documentation, requirements, and actionable insights that drive process improvements across the organization .

A day in the life
Your day begins with an in-depth analysis of the previous day's operational defects, using data to identify patterns and root causes. You'll collaborate with operations teams to understand the current day's performance status and potential challenges. Throughout the day, you'll brainstorm strategies to reduce operational costs and business waste, represent Central Operations in business calls with various stakeholders, and coordinate with the central CO team to provide necessary support where needed. You'll balance analytical work with cross-functional collaboration, all focused on improving customer experience

About the team

Our team operates with a progressive mental model: Centralize processes, Standardize across geographies, Automate to reduce manual effort, and ultimately Eliminate unnecessary processes through hands-off-the-wheel automation. This creates an innovative environment where you'll have significant impact on improving customer experiences across multiple regions.

Basic qualifications

- 1+ years of employee and performance management experience
- Bachelor's degree or equivalent, or 2+ years of Amazon (blue badge/FTE) experience
- Work a flexible schedule/shift/work area, including weekends, nights, and/or holidays
- Can push and pull wheeled dollies loaded with products up to 100 pounds during shifts

Preferred qualifications

- 1+ years of performance metrics, process improvement or lean techniques experience

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.

How we rate this

Manager I, Amazon Now Ops, Central Operations at Amazon rates 37 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.