FGBS ACES Sr CI Expert, FGBS ACES

Amazon is hiring an FGBS ACES Sr CI Expert, FGBS ACES in Hyderabad, India. Level rates it ; you can apply on Amazon.

Level's read on this job

Level rates this role Little AI ●○○○: aI is not part of the work.
The posting mentions AI automation among its tools and skills.
Level classes it as a senior role.
Amazon has 20,000+ other open roles on Level.
Posted in the last few days.

AI in this role

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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 Development Expert for our Amazon Customer Excellence Services (ACES) team within Finance Global Business Services (FGBS).

The ACES Business Development team is a project discovery task force that specializes in linking business strategy to opportunity identification and project selection. We believe the future of successful project management involves doing the right projects — not just doing projects right. That means making excellent decisions about which opportunities should become projects. The business development strategy uses a combination of voice of the customer, voice of the business, voice of the employee, and voice of the process to capture improvement opportunities in complex interdependent business functions.

This role leads the identification, quantification, and definition of project opportunities between FGBS verticals and FGBS ACES Black Belts. You will apply a mixture of qualitative, quantitative, networking, and leadership skills to drive a culture of exploration, opportunity creation, and continuous improvement. The program strategy is defined, but the business problem and solution may not be. You deliver independently, seeking direction on strategic priorities.

You will leverage AI as a force multiplier across the entire business development lifecycle — from AI-powered data mining and predictive opportunity identification, to automated process analysis and intelligent stakeholder engagement. You do not simply use AI; you deliver business development differently because of it.

Key job responsibilities
Your responsibilities will span the following core dimensions:

Strategic Opportunity Identification & AI-Augmented Discovery

Lead project discovery and define phases of high-impact Lean Six Sigma projects (DMAIC, DFSS, Kaizen, FMEA, etc.), partnering with FGBS business teams to identify opportunities related to cost saving, revenue leakage, and efficiencies.

Leverage AI tools to accelerate and enhance opportunity identification — using AI-powered data mining, predictive analytics, and automated process analysis to identify patterns and opportunities that manual analysis would miss.

Manage a portfolio of improvement projects, including auditing of transitioned projects to ensure that process improvements are sustained and benefits are realized.

Develop quantitative and qualitative process maps to describe how various people and teams within a business are involved in a process, objectively evaluating process workflows to understand the current state.

Discover and assess automation initiatives, regulatory compliance opportunities, and other critical business decisions.

Cross-Organizational Partnerships & Influence

Develop cross-organizational partnerships to drive identification, quantification, and definition of project opportunities between FGBS verticals and FGBS ACES Black Belts.

Work closely with FGBS and corporate partners (Finance, Accounting, Legal, HR, Facilities, Safety, IT, Customer Service) to secure support and resources for savings opportunities.

Represent FGBS ACES in local and global meetings/conference calls and with network-wide projects.

Influence customers, roadmap priorities, and decisions across multiple teams.

Data Analytics & Quantification

Conduct advanced data mining to conclude if defects will lead to excessive costs, reduced revenue/GMS, or increased audit/controllership risks.

Read and transform organizational data to evaluate process details, prioritize fixes, and continually track workflows.

Leverage AI to automate data extraction, pattern recognition, and predictive modelling for opportunity assessment.

Provide periodic updates to senior management, including opportunity pipeline metrics, impact projections, and strategic recommendations for project selection.

Training & Development

Mentor team members on business development methodology, data analytics, and AI-augmented discovery approaches.

Coach new team members on Lean, Six Sigma, and project management fundamentals.

Promote a culture of exploration, opportunity creation, and continuous improvement.

Share business development best practices and AI-augmented approaches across the ACES community.

Communication & Influence

Contribute to team and organization documents (e.g., opportunity assessments, project charters, MBR/QBR, roadmaps).

Translate complex data sets into actionable strategies and compelling narratives for stakeholders.

Influence managers and peer teams without authority, driving alignment on project selection and prioritization.

Communicate effectively across an increasing diversity of business and technical audiences.

A day in the life
Lead project discovery activities — using AI-powered data mining and process analysis to identify high-value improvement opportunities.

Partner with FGBS business teams and ACES Black Belts to quantify and define project opportunities.

Manage the opportunity portfolio — auditing transitioned projects and tracking sustained benefits.

Develop comprehensive process maps and conduct advanced current-state analysis across value streams.

Mentor L4 team members on business development methodology and AI-augmented approaches.

Represent FGBS ACES in cross-functional forums and drive alignment on project selection.

Provide strategic recommendations to senior management on opportunity prioritization.

About the team

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
- Experience in complex problem solving, and working in a tight schedule environment

Preferred qualifications

- Experience building processes, project management, and schedules
- Experience in stakeholder management, dealing with multiple stakeholders at varied levels of the organization
- Six Sigma Black Belt certification
- Master's degree or above in business administration, finance, economics, computer science, data science, engineering, or other related field, or Master's degree in engineering, statistics, computer science, operations research, business analytics, information systems or equivalent
- Experience with data analysis tools such as Advanced Excel, SQL, Tableau, Python
- 5+ years of finance operations/shared services, accounts payable, account receivable (collections) or general ledger experience
- Experience in program or project management including the delivery of cross-functional projects
- Experience working with large-scale data mining and reporting tools (i.e. SQL, MS Power Query, Python), or experience with process improvement, Kaizan, and Six Sigma
- Knowledge of ERP systems (e.g. SAP, ORACLE, Coupa) in large organizations
- Experience working in large teams or at a national/multinational organization, or experience participating in continuous improvement projects in your team to scale and improve controllership with measurable results
- Knowledge of BI analytics, reporting or visualization tools like Tableau, AWS QuickSight, Cognos or other third-party tools
- Experience designing AI-augmented business development workflows (e.g., AI-powered opportunity identification, predictive analytics for project selection, automated process analysis).

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

FGBS ACES Sr CI Expert, FGBS ACES at Amazon rates 27 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.