Senior Application Expert within Last Mile

2 weeks ago

Stockholm, Stockholm, Sweden H&M Hennes & Mauritz GBC AB Inköp Full time

Job Description

At H&M group – Business Tech, we are accelerating digitalization and to stay relevant, we need to ensure we have strong competences in place to improve our end-to-end supply chain & warehouse processes for both online and in store. For our customers to receive our goods at best price and speed, we are looking for a Senior Application Expert that will shape how we work with last mile at H&M.

Transport B2C product team

The transport Business-to-Consumer product team work globally with last mile transportation. We utilize multiple Multi Carrier Parcel Management Systems (MCPMS) along with in-house solutions to connect H&M and our customers with mile carriers across the globe.

Responsibilities:

You will work alongside Product Manager, Solution Architect, Business- & Application Experts as part of an agile team.

Areas of responsibility, expectations & tasks:

  • Overall responsible for our tech roadmap:
  • What capabilities we need to develop and when
  • Where capabilities should be built, inhouse vs MCPMS.
  • Align tech roadmap with brand & Supply Chain strategies.
  • Keep up to date on business & tech developments in the last mile area.
  • Expected to develop a good understanding of our MCPMs providers and their capabilities.
  • Expected to develop a deep understanding of the business processes we support.
  • Work with the team to translate our product strategy and capabilities into suitable, maintainable, and scalable solution designs.
  • Contribute to initiatives by working on solution design, requirements, test & coordination with a focus on solution design.
  • Collaborate closely with product manager and other cross-functional teams, share best practices, and discuss and motivate design solutions.

Qualifications

  • Have a bachelor's degree in computer science, Engineering, or related field.
  • 5+ years of experience working with Supply Chain related tech in eCommerce.
  • Strong experience working with eCommerce Transportation, Last Mile, Fleet & Freight systems, Delivery Management Services, MCPMS or similar.
  • Solid understanding of retail & logistic processes.
  • Have a demonstrated history of working according to agile practices with knowledge of Scrum & SAFE.
  • Understanding of Azure cloud platform

Additional Information

This is a permanent full-time position open in our locations Stockholm or Borås.

Application period is open till 13th of June and we will start interviewing soon thereafter.

We are eager to meet you :)

Benefits at H&M

We offer all our employees at H&M Group attractive benefits with extensive development opportunities around the globe. All our employees receive a staff discount card, usable on all our H&M Group brands in stores and online. Brands covered by the discount are H&M (Beauty and Move included), COS, Weekday, Monki, H&M HOME, & Other Stories, ARKET, Afound. In addition to our staff discount, all our employees are included in our H&M Incentive Program – HIP. You can read more about our H&M Incentive Program here.

In addition to our global benefits, all our local markets offer different competitive perks and benefits. Please note that they may differ between employment type and countries.

Inclusion & Diversity

H&M is a part of H&M Group. At H&M Group, we're determined to create and maintain inclusive, diverse and equitable workplaces throughout our organisation. Our teams should consist of a variety of people that share and combine their knowledge, experience and ideas. Having a diverse workforce leads to a positive impact on how we address challenges, on what we perceive possible and on how we choose to relate to our colleagues and customers all over the world. Hence all diversity dimensions are taken into consideration in our recruitment process.

We strive to have a fair and equal process and therefore kindly ask you not to attach a cover letter in your application as they often contain information that easily can trigger unintentional biases.


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