Sr GRA Manager, RCS - within Selling Partner Services (SPS)
Amazon.com
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
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
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