About this role
Description
Your primary mission is automating Amazon's labor planning and to systematically eliminate manual efforts, while driving education and adoption of new automated tools developed by Tech teams. You will partner closely with engineering teams to define product requirements, prioritize the roadmap, and ensure tools deliver measurable business value.
You will also lead expansion programs to extend production planning services across other miles and organizations. This includes identifying opportunities, engaging stakeholders, and leading the end-to-end expansion cycle. Each new expansion is a chance to compound the team's impact and bring world-class planning capabilities to parts of the network that are still operating manually.
To accomplish this, you are expected to possess demonstrated experience in program and stakeholder management, and implementation of GenAI and automation projects. To excel at this role, you must be highly analytical, have knowledge in forecasting models and AI, and the capacity to collaborate and influence other teams is a must.
You must also recognize the ever-present challenges with accuracy of the assumptions that go into labor planning and strive for a deeper understanding of inputs and variation in planning assumptions which dictate the overall short- and long-term staffing outputs.
The decisions you make can have a significant impact on the team's strategy, automation, expansion, and overall costs associated with how well the labor plan balances between the site and network-level constraints.
You will also be responsible for the development of a team of 3–5 planning analysts, business analysts, and/or interns, and act as a Subject Matter Expert who can teach and influence all aspects of production planning — tactically and strategically. You are expected to be highly analytical, understand complex systems, and influence the various stakeholders impacting labor planning, including FC Operations, Ops Finance, HR, S&OP, and Workforce Staffing teams.
Your ability to communicate the short- and long-term staffing strategy of the network is essential. You will influence Directors and Ops Senior Leadership, Finance, HR, and other stakeholders to align and commit to new technologies, processes, and strategies. This guidance will cover a wide array of topics such as volume variability, site execution, assumptions accuracy, market constraints, and labor utilization. Given the scale and complexity of the LATAM network, you will build and lead a team capable of earning the trust of leadership teams across all sites — and of anticipating forward-looking risks to implement timely, high-impact solutions.
Key job responsibilities
Core Responsibilities
- Drive creation of GenAI automation, expansion, process improvement, and Lean initiatives to improve the labor planning process in the LATAM region, ultimately enabling the network to meet and exceed business plans
- Lead labor planning programs across the LATAM fulfillment network
- Leverage the Production Planning and S&OP teams by sourcing and nurturing ideas, and rolling them into the creation of improved and automated planning processes
- Take proactive steps to ensure that best practices in labor planning are shared across the network
- Outline, recommend, and implement new programs that guide the organization in maintaining and improving its competitive position and profitability
- Work with data source providers and technology teams to ensure that key decision data is accurate, automated, and timely
- Develop strategic relationships with your business partners — influence decisions, root cause issues quickly, uncover core problems using data, and create new mechanisms as needed
- Manage a team with competing priorities and provide level-headed guidance during unexpected events
- Expert at managing, evaluating, and analyzing data quickly while creating meaningful business reporting
- Support recruiting efforts to continually hire and develop the best talent
Key Skills & Abilities
- Translate complex, multi-variable data sets into clear, actionable recommendations for senior audiences
- Leverage modern analytics tools including SQL, Python, BI platforms (Tableau, QuickSight, or equivalent), and Excel to build scalable planning models
- Navigate ambiguity and operate effectively in a fast-paced, high-stakes environment with limited structure
- Communicate staffing strategy concisely to both technical and non-technical stakeholders at all levels
- Build and sustain cross-functional trust with teams across FC Operations, Finance, HR, S&OP, and Workforce Staffing
A day in the life
As Senior Product Manager for LATAM Production Planning, you sit at the intersection of technology, operations, and strategy. Your decisions directly shape the short- and long-term staffing outputs for one of the world's most complex logistics networks. You'll pioneer GenAI-powered automation, expand planning capabilities to new business units, and develop a team of high-caliber analysts — all while influencing Directors and Senior Leadership across Finance, HR, and Operations. This is a career-defining opportunity for a data-driven leader who thrives on ambiguity and wants to leave a measurable footprint on how Amazon scales across Latin America.
In your first 12 months, you will be expected to:
- Launch or accelerate at least three GenAI-powered automation initiative that measurably reduces manual planning effort
- Co-lead the LATAM production planning roadmap, with a clear 6- and 12-month milestone plan
- Establish or strengthen stakeholder relationships
- Develop and coach your team of analysts, with at least one promotion-ready Intern identified
- Drive expansion of production planning services to at least one new mile or business unit
- Improve forecast accuracy KPIs by defining and tracking new planning accuracy metrics
About the team
The Production Planning Team (PPT) sits within Global Finance Solutions FP&A and is the analytical backbone of Amazon's LATAM fulfillment network. Our team drives the accuracy, efficiency, and scalability of labor planning across the region — directly influencing how hundreds of thousands of associates are deployed each day. We partner with FC Operations, S&OP, HR, Workforce Staffing, and Finance to translate complex, dynamic data into actionable staffing strategies. We are a high-visibility, high-impact team at the forefront of GenAI and automation adoption, building the next generation of labor planning tools that will set the standard for the rest of Amazon's global network.
Basic Qualifications
- Bachelor's degree in engineering, statistics or business, or Bachelor's degree and 5+ years of quantitative role (engineering, process re-engineering, quality assurance) experience
- 6+ years of creating process improvements with automation and analysis experience
- 6+ years of participating in continuous improvement projects in your team to scale and improve controllership with measurable results experience
- 5+ years of program or project management experience, or a CPA and 4+ years of managing, analyzing and communicating results to senior leadership experience
- Experience in forecasting, budgeting, variance analysis, and interpreting financial results, or experience in tax, finance or a related analytical field
- Experience in Excel (macros, index, conditional list, arrays, pivots, lookups), or experience working with Excel and large-scale data mining and reporting tools such as Python, SQL, or Tableau
- Demonstrated GenAI experience (e.g., prompt engineering, working with LLM-based tools, or deploying AI automation in an operational or planning context)
- Ability to travel; travel expected primarily to local operations, with additional regional support
Preferred Qualifications
- MBA, or CPA
- 6+ years of identifying incomplete or inaccurate data, identifying the root cause and creating/implementing an escalation plan experience
- 6+ years of solving complex business challenges by delivering accurate and timely financial models, analysis, and recommendations that have a proven impact on business (e.g., financial savings, operational improvements, or customer benefits) experience
- Experience working in fast paced environments, and managing workload even during times of stress, or escalated activity
- Experience with data scripting languages (e.g., SQL, Python, R, or equivalent) or statistical/mathematical software (e.g., R, SAS, Matlab, or equivalent)
- Experience in a leadership role
- Portuguese fluency
- Experience working in or with Mexico and Brazil operations, logistics, or fulfillment environments
- Previous experience within Manufacturing, Distribution Center, or Logistics processes and systems is a plus
- Advanced problem-solving and root cause analysis skills, combined with a proven ability to communicate those analyses clearly to diverse stakeholders
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