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Home›Jobs›Amazon›Principal Product Manager, EU Fleet Planning & Analytics
Amazon

About Amazon

The everything store and cloud computing leader

🏢 Tech👥 1001+ employees📅 Founded 1995📍 South Lake Union, Seattle, WA⭐ 3.7
B2CB2BMarketplaceCloud ComputingeCommerce

Key Highlights

  • Headquartered in South Lake Union, Seattle, WA
  • Over 1.5 million employees worldwide
  • Leading cloud services through Amazon Web Services (AWS)
  • Acquired Whole Foods, Twitch, and Ring

Amazon, headquartered in South Lake Union, Seattle, WA, is the world's largest online retailer and a leader in cloud computing through Amazon Web Services (AWS). With over 1.5 million employees globally, Amazon operates in various sectors, including AI with its Alexa devices and a vast marketplace k...

🎁 Benefits

Amazon offers competitive salaries, stock options, generous PTO policies, and comprehensive health benefits. Employees also have access to a learning ...

🌟 Culture

Amazon's culture is driven by customer obsession and a focus on innovation. The company encourages employees to think big and move fast, fostering an ...

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Amazon

Principal Product Manager, EU Fleet Planning & Analytics

Amazon • London, England, GBR

Posted 4 months ago🏛️ On-SiteSeniorProduct manager📍 London
Apply Now →

Job Description

We are searching for a talented Principal, Product Management to enable the success of the EU Global Fleet Program within the high-growth, fast-paced Amazon Logistics organization.

You will be responsible for leading all product-related initiatives to introduce new processes for long, medium and short-term planning, including the related vehicle procurement and supply chain downstream decisions, impacting significant investment. You will ultimately be responsible for building the right capacity to deliver peak demand whilst ensuring target fleet utilization is achieved and cost optimized.

You will drive product design, development and testing for the EU Amazon Logistics fleet in partnership with tech teams by leveraging statistical modelling, machine learning pipelines, deterministic algorithms and the integration with key partner organizations. You will monitor and identify important changes in upstream forecasts assumptions and business strategies, streamlining the overall planning and decision cycle to achieve the optimal trade-off between cost and Service Partners experience.

Key job responsibilities
- Design and develop scalable fleet planning modelling.
- Integrate closely with finance business partners to ensure plans are efficient and meet Peak demand.
- Define and own Fleet Demand forecasting accuracy metric.
- Be accountable for the timely “buy in” from VP and senior stakeholders about the significant Fleet CAPEX investment and OPEX decisions.
- Consolidate input from a different set of stakeholders and ensure fleet plans consume the latest assumptions.
- Drive the transition to electrification and integration of MoT into Fleet Requirement Planning;
- Extend process to new business customer organization and countries to be launched over the next years.

About the team
The EU Amazon Logistics (AMZL) Fleet Planning, Analytics (FPA) operates within Global Fleet & Products, and is responsible for the EU AMZL fleet requirement definition to source Armada/Rentals, short-term deployment scheduling, business intelligence and analytics support, with the north star to scale fleet capacity efficiently. - Experience blending product and program management skills to execute strategic initiatives about process creation, standardization, and improvement
- Experience owning/driving roadmap strategy and definition
- Experience with end to end product delivery
- Experience with feature delivery and tradeoffs of a product
- Experience as a product manager or owner
- Experience with product cycles of 6+ months
- Experience owning feature delivery and tradeoffs of a product
- Experience in product or program management, product marketing, business development or technology- Experience owning technology products
- Familiarity with Research Science modelling, Machine Learning, predictive and generative AI

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

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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