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채용Amazon

Sr. Partner Business Operations Lead, APJ

Amazon

Sr. Partner Business Operations Lead, APJ

Amazon

Singapore, SGP

·

On-site

·

Full-time

·

5d ago

AWS is seeking a Business Operations Lead, to drive data-driven decision-making and operational excellence for the APJ Partner organization. As a strategic business partner, the Business Operations Lead serves as a trusted advisor who translates complex data into actionable insights, drives operational excellence, and shapes the strategic direction of sales initiatives through deep business acumen and consultative partnership. This role is crucial in leading and scaling mission-critical frameworks, including territories and quota, goal setting, key initiatives, business reviews, forecasting, and data analysis, to inform strategic recommendations in a rapidly growing, complex environment. Serving as a strategy partner to Area leadership, the Business Operations Lead develops, implements, and manages sales processes, systems, and metrics to help Area Partner Leader and those involved in the sales process increase revenue growth and customer acquisition. Proactively analyzes sales performance data and customer dynamics to identify growth opportunities and provide forward-looking strategic recommendations to leadership. Partners with stakeholders to achieve day-to-day operational excellence through sales process management, performance analysis, technology support, business reviews, operational planning, and communicating actionable insights, both verbally and in writing, while fostering strong stakeholder relationships. As the AI-powered sales landscape continues to evolve, this role will be instrumental in leveraging the latest artificial intelligence and machine learning technologies to enhance sales processes and decision-making, ensuring responsible implementation that drives measurable business impact. The Business Operations Lead will work closely with Area Partner leadership and cross-functional teams to responsibly implement and optimize AI-driven tools and workflows that augment the sales organization's productivity and effectiveness. This role requires a strategic thinker who can balance operational rigor with consultative partnership, translating data into business strategy while building trusted relationships across all levels of the organization.

Key job responsibilities
1. Serve as a strategic business partner to the leadership team, providing data-driven insights and guidance to shape the overall business strategy and operations. Influence and collaborate with cross-functional teams to drive optimal business outcomes.
2. Documents and implements standardized business processes and metrics, including KPI definitions and goal cascades, to support operational effectiveness. This may include determining sales territories and quotas for teams.
3. Orchestrates AI-human collaboration in the sales process, and manages and optimizes AI sales intelligence tools and automated customer/partner interaction systems
4. Maintains sales tools data quality to ensure accurate reporting and forecasting
5. Implements sales workflows and automation to streamline process and improve seller efficiency
6. Conducts sales performance analysis on win/loss data, conversion rates, goal attainment, and/or forecast accuracy to identify potential risks.
7. Prepares and drives regular business reviews with insights on pipeline health, performance trends, and operational efficiency.
8. Acts as primary point of contact to resolve stakeholders’ requests and execute daily operational processes.
9. Leads sales tools training and adoption initiatives to improve utilization and productivity.
10. Serve as a change agent, guiding the business through transformations and supporting the effective management of organizational change initiatives.
11. Drives escalations, gap-to-green, and/or other issues to resolution.

Basic Qualifications

  • Experience conducting sophisticated and creative analysis of complex data and translate the results into actionable deliverables, messages, and presentations
  • Experience communicating and presenting to senior leadership
  • 7+ years of sales operations or equivalent experience
  • Experience defining, refining and implementing sales processes, procedures and policies or equivalent

Preferred Qualifications

  • Experience using data and analytics to drive sales strategy and results
  • Experience working within a high-growth, technology company
  • Bachelor's degree or equivalent, or experience using data and analytics to drive sales strategy and results
  • Experience working in a Partner Management business operations role

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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스크랩

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Amazon 소개

Amazon

Amazon

Public

Amazon.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