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Sr GRA Manager, RCS - within Selling Partner Services (SPS)
Bengaluru, KA, IND
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On-site
·
Full-time
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1w ago
Are you ready to apply your professional services advisory skills to Amazon's unique environment? We are developing a new capability providing specialist internal advisory services around governance, risk management and assurance, delivering tailored functional insight and expertise to all of Amazon worldwide. We are looking for talented individuals from risk, assurance and consulting backgrounds who can demonstrate both their subject matter knowledge and delivery of customer-focused solutions around these disciplines.
Operating as a specialist global team partnering across Amazon to embed best practices in the second line of defence, you will play an integral role in building our capabilities. You will be responsible for the end-to-end scoping, design and execution of workstreams, working with senior Amazon leaders to develop an in-depth understanding of their organisations to then drive business change for tangible commercial and operational benefits.
This represents a unique chance to combine your client-facing skills and deep professional services expertise within the global environment of Amazon. You will combine your GRA skillsets with an ability to invent and simplify in order to scale our services internally, and in time, externally.
- Key job responsibilities
- Lead the scoping, design and execution of automation across GRA
- Lead the GRA vision for automated services for AI and machine learning models for both risk and assurance
- Advise partners on best practices and frameworks around governance, risk management and assurance, and equip them with the tools and knowledge to reduce risk within their P&L or workstream.
- Engage with internal stakeholders and businesses on a cross-border basis to develop targeted governance, risk and assurance deliverables
- Create detailed, data-driven narratives to inform senior leadership and Boards of risk levels, mitigations and impacts
- Provide assurance on the effectiveness of internal controls and develop recommendations to address any identified control gaps and weaknesses
- Pro-actively identify opportunities to automate and simplify processes within the team and for our internal clients and lead automation
- Assist in managing AI/ML risk management processes for our in
- Break complex problems into manageable pieces while maintaining strategic view
Basic Qualifications
- Bachelor's degree or equivalent
- Experience in building, testing, implementing and validating models in a financial services technology, payments, merchant/acquiring, audit/consulting, business software, retailor online services company (preferably AI/ML models)
- Knowledge of SQL and Big Data technologies
- Experience with internal Amazon AI tools
- Knowledge of data management fundamentals and data storage principles
- Demonstrated track record of taking ownership and driving results
- Experience in professional services in risk, audit, assurance or consulting
- Excellent written and verbal communication skills and ability to interact with senior leaders (L8+)Ability to manage and analyse complex data, and deal with ambiguity
Preferred Qualifications
- Experience in global programs spanning multiple jurisdictional requirements
- Experience building cross-functional relationships and influencing senior stakeholders to deliver business change
- Master’s degree
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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Amazonについて

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+
従業員数
Seattle
本社所在地
$1.5T
企業価値
レビュー
2.9
10件のレビュー
ワークライフバランス
2.8
報酬
3.7
企業文化
2.5
キャリア
2.3
経営陣
2.1
35%
友人に勧める
良い点
Good pay and compensation
Strong benefits package
Flexible scheduling options
改善点
Poor management and leadership
Limited growth and promotion opportunities
High stress and demanding work environment
給与レンジ
4件のデータ
Junior/L3
L2
L3
L4
L5
L6
M3
M4
M5
M6
Intern
Junior/L3 · Warehouse
1件のレポート
$30,509
年収総額
基本給
$23,546
ストック
-
ボーナス
-
$30,509
$30,509
面接体験
10件の面接
難易度
3.7
/ 5
期間
21-35週間
内定率
20%
体験
ポジティブ 10%
普通 10%
ネガティブ 80%
面接プロセス
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Phone Screen
5
Onsite/Virtual Loop
6
Team Matching
7
Offer
よくある質問
Coding/Algorithm
System Design
Behavioral/STAR
Leadership Principles
Technical Knowledge
ニュース&話題
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