About this role
Description
At Amazon we strive to be Earth’s most customer obsessed company. Our passion for invention leads us to continually pioneer and globalize new businesses and customer offerings. As a result, Amazon continues to grow and evolve across many different business lines.
In supporting this growth and evolution, Amazon Finance Operations (FinOps) goal is to deliver seamless procure-to-pay, order-to-cash, and payroll processes that enable geographic and market expansion across all Amazon’s businesses, from Retail, Digital, and Advertising through to AWS and Logistics, while ensuring regulatory and legal compliance. As part of this growth, we now seek a Customer Obsessed, Results Driven Sr Business Transformation Expert for our Amazon Customer Excellence Services (ACES) Small-Scale Automation (SSA) team within Finance Global Business Services (FGBS).
The ACES SSA team drives intelligent automation across FinOps by leveraging AI, cloud-native technologies, and modern development practices to transform finance operations at scale. This is a strategic role at the intersection of AI innovation and process transformation. You will drive intelligent automation by leveraging Generative AI, machine learning, and modern cloud-native technologies as primary tools to reimagine and simplify finance operations at scale.
You will design and deploy AI-augmented solutions — from intelligent document processing to AI agents and copilots — while managing the end-to-end project lifecycle from discovery and solution design through development, security review, UAT, deployment, and change management. You will leverage AI as a force multiplier across the entire delivery lifecycle — evaluating where AI creates the highest value and applying the right technology for each use case. The program strategy is defined, but the business problem and solution may not be. You deliver independently, seeking direction on strategic priorities.
Key job responsibilities
Your responsibilities will span the following core dimensions:
Solution Architecture & AI-Augmented Delivery: Design and deliver AI-powered automation solutions using Generative AI, large language models (LLMs), and intelligent automation frameworks to transform finance operations at scale.
Evaluate and implement AI-native approaches (AI agents, copilots, RAG architectures, prompt engineering) as the first-choice solution methodology, applying traditional automation where AI is not the optimal fit.
Develop and deploy solutions leveraging Python, AWS AI/ML services, SQL, and cloud-native tools following the ACES SSA governance structure and information security guidelines.
Build intelligent document processing, automated decision-making, and predictive analytics solutions that reduce manual intervention across P2P and finance workflows.
Architect and maintain data pipelines and ETL workflows using modern tools (AWS Glue, Step Functions, Lambda) to support AI/ML model deployment and automation infrastructure.
Project Delivery & Impact
Drive measurable efficiency savings through AI-augmented automation projects, establishing clear ROI metrics and business impact measurement.
Partner with business teams across locations and time zones to identify high-value AI use cases, translating business problems into scalable technical solutions.
Manage the end-to-end project lifecycle from discovery and solution design through development, security review, UAT, deployment, and change management.
Accelerate progress by driving timely decisions, spotting risks, and clearing blockers.
Innovation & Continuous Learning
Stay current with emerging AI technologies and proactively identify opportunities to apply new capabilities to finance operations challenges.
Provide periodic project updates to senior management, including AI adoption metrics, efficiency gains, and strategic recommendations for scaling intelligent automation.
Begin to mentor L4 team members on AI/ML best practices and modern automation approaches.
Communication & Influence
Contribute to team and organization documents (e.g., project/program requirements, roadmaps, status updates, MBR/QBR).
Translate complex AI concepts for non-technical stakeholders, influencing managers and peer teams without authority.
Communicate effectively across an increasing diversity of technical and business audiences
A day in the life
Design and deliver AI-powered automation solutions using Generative AI, LLMs, and intelligent automation frameworks.
Evaluate AI-native approaches for new use cases — determining where AI agents, copilots, or RAG architectures create the highest value.
Partner with business teams to identify high-value AI use cases and translate them into scalable technical solutions.
Architect data pipelines and ETL workflows supporting AI/ML model deployment.
Provide project updates to senior management with AI adoption metrics and strategic recommendations.
Mentor L4 team members on AI/ML best practices and modern automation approaches.
Stay current with emerging AI technologies and experiment with new capabilities.
About the team
What is the FGBS ACES vision?
- FGBS ACES drives Operational Excellence (OE) across Amazon by delivering AI-enabled, data-driven solutions that reduce costs, improve quality, and build sustainable capabilities. Through strategic partnerships, intelligent automation, and innovative technology, we empower customers to achieve faster, smarter, and scalable results.
What are FGBS ACES central tenets
- We design and develop sustainable and innovative solutions to reduce defect and improve performance.
- We embrace AI enabled data-driven approach to identify root causes and prevent reoccurrence.
- We relentlessly prioritize on the areas with the highest future impact.
- We create mechanisms, that sustain solutions and scale best practices.
- We mentor and train people across the Finance organization on six-sigma and lean methodologies.
Basic Qualifications
- 5+ years of program or project management experience
- 5+ years of working cross functionally with tech and non-tech teams experience
- 2+ years of change management experience
- Knowledge of Excel (Pivot Tables, VLookUps) at an advanced level and SQL
- Knowledge of lean techniques and Six Sigma tools
Preferred Qualifications
- Experience building processes, project management, and schedules
- Experience in stakeholder management, dealing with multiple stakeholders at varied levels of the organization
- Experience in complex problem solving, and working in a tight schedule environment
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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