A

Amazon

Sells products online and rents cloud computing

Senior Product Manager - Production Planning Team, Global Finance Solutions

Production Planning & SchedulingPosted on Nov 12
Full-timeHeredia Province, Heredia, Costa RicaNo salary listed

About the Job

Requirements

  • A bachelor's degree in engineering, statistics, or business, or a bachelor's degree with at least five years of quantitative-role experience in engineering, process re-engineering, or quality assurance.
  • At least six years of experience creating process improvements through automation and analysis.
  • At least six years of experience participating in continuous improvement projects to scale and improve controllership with measurable results.
  • At least five years of program or project management experience, or a CPA and at least four years of experience managing, analyzing, and communicating results to senior leadership.
  • Experience in forecasting, budgeting, variance analysis, and interpreting financial results, or experience in tax, finance, or a related analytical field.
  • Experience with Excel macros, indexes, conditional lists, arrays, pivots, and lookups, or experience using Excel and large-scale data mining and reporting tools such as Python, SQL, or Tableau.
  • Demonstrated generative AI experience, such as prompt engineering, using large language model tools, or deploying AI automation in an operational or planning context.
  • Ability to travel primarily to local operations, with additional regional support.
  • Ability to translate complex, multivariable data sets into actionable recommendations for senior audiences.
  • Ability to use modern analytics tools, including SQL, Python, business intelligence platforms such as Tableau or QuickSight, and Excel, to build scalable planning models.
  • Ability to navigate ambiguity and operate effectively in a fast-paced, high-stakes environment with limited structure.
  • Ability to communicate staffing strategy to technical and non-technical stakeholders at all levels.
  • Ability to build and sustain cross-functional relationships with FC Operations, Finance, HR, S&OP, and Workforce Staffing teams.

Responsibilities

  • Drive generative AI automation, expansion, process improvement, and Lean initiatives to improve labor planning in the LATAM region and help the network meet or exceed business plans.
  • Lead labor planning programs across the LATAM fulfillment network.
  • Source and develop ideas with the Production Planning and S&OP teams and incorporate them into improved and automated planning processes.
  • Ensure labor-planning best practices are shared across the network.
  • Recommend and implement programs that maintain and improve the organization's competitive position and profitability.
  • Work with data-source providers and technology teams to ensure key decision data is accurate, automated, and timely.
  • Develop strategic relationships with business partners, influence decisions, quickly identify root causes, use data to uncover underlying problems, and create mechanisms as needed.
  • Manage a team with competing priorities and provide guidance during unexpected events.
  • Manage, evaluate, and analyze data quickly and create meaningful business reporting.
  • Support recruiting efforts to hire and develop talent.
  • Develop and coach planning analysts, business analysts, and interns, and serve as a subject matter expert who teaches and influences production planning tactically and strategically.
  • Communicate short- and long-term network staffing strategy and influence directors, senior operations leadership, Finance, HR, and other stakeholders to align on technologies, processes, and strategies.
  • Anticipate forward-looking risks across LATAM sites and implement timely solutions.
  • Launch or accelerate at least three generative AI-powered automation initiatives in the first 12 months that measurably reduce manual planning effort.
  • Co-lead the LATAM production planning roadmap and establish a six- and twelve-month milestone plan.
  • Establish or strengthen stakeholder relationships.
  • Drive expansion of production-planning services to at least one new mile or business unit.
  • Improve forecast-accuracy key performance indicators by defining and tracking planning-accuracy metrics.

Desired Qualifications

  • A Master of Business Administration or CPA.
  • At least six years of experience identifying incomplete or inaccurate data, finding root causes, and creating and implementing escalation plans.
  • At least six years of experience solving complex business challenges by delivering accurate and timely financial models, analyses, and recommendations with demonstrated business impact, such as savings, operational improvements, or customer benefits.
  • Experience managing workload in fast-paced environments, including stressful or escalated activity.
  • Experience with data scripting languages such as SQL, Python, or R, or statistical or mathematical software such as R, SAS, or MATLAB.
  • Experience in a leadership role.
  • Portuguese fluency.
  • Experience working with Mexico and Brazil operations, logistics, or fulfillment environments.
  • Experience in manufacturing, distribution center, or logistics processes and systems.
  • Advanced problem-solving and root-cause analysis skills, with the ability to communicate analyses clearly to diverse stakeholders.

About the Company

Amazon

Sells products online and rents cloud computing

Amazon runs the largest online store in the United States and rents cloud computing to businesses and governments through Amazon Web Services. AWS pioneered renting computing power over the internet, and Amazon built its own delivery network to get orders to customers quickly. Shoppers buy from Amazon and from independent sellers on its store, and Prime members pay a subscription for fast free shipping, streaming video and music, and other perks. AWS rents out computing power, storage, databases, and AI tools so companies can run software without owning servers, and Amazon also makes Kindle e-readers and Echo speakers with the Alexa assistant. Jeff Bezos founded Amazon in 1994, and it is based in Seattle, Washington.

Company size
10,001+
Company stage
IPO
Headquarters
Seattle, WA
Founded
1994

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