Business Analyst & Scrum Master for AI Planning

Bestseller

Job title: Business Analyst & Scrum Master for AI Planning

Company: Bestseller


Job description: Join BESTSELLER TECH and Revolutionize Fashion with AI!
Do you want to be part of shaping the future of fashion? BESTSELLER is looking for a talented and dynamic individual to join our AI Fashion Planning team as a Business Analyst & Scrum Master.Become a part of our mission to drive data-driven fashion innovation. Your key to success in this role is to understand our demand planners’ processes and their ways of working to ensure new technology can be embedded and taken up by them.YOUR TEAM
By joining our AI Fashion Planning team, you will be at the forefront of developing state-of-the-art AI solutions for some of BESTSELLER’s most strategically important projects. Furthermore, you will be part of the Scrum Master community within BESTSELLER TECH.YOUR ROLE
As the Business Analyst & Scrum Master in our AI Fashion Planning team, you will be fostering close collaboration between data scientists, product owners, and stakeholders to prioritize and develop the most impactful AI solutions. You will focus on ensuring that AI products developed by the team are fully embedded in user workflows, driving adoption and value realization.
Furthermore, your tasks will include:

  • Facilitating change management processes for our AI solutions across the organization.
  • Driving data analysis and help derive key metrics for product improvement.
  • Conducting daily stand-ups, sprint planning, and retrospectives, ensuring agile processes run smoothly.
  • Creating visualizations, dashboards, and presentations to support data-driven decisions.
  • Removing obstacles to keep the team aligned and on track.

YOUR BENEFITS

  • You will be working in one of the world’s largest fast fashion companies, and our AI Fashion Planning team is at the forefront of innovation.
  • We believe in empowering our team members to explore new ideas, solve complex challenges, and make a real impact.
  • You will be part of a vibrant, supportive environment with passionate colleagues and plenty of opportunities to grow your career.

YOUR PROFILE
This hybrid role is perfect for someone with real-life experience as a planner and a passion for driving data-driven decision-making combined with expertise in change management and agile practices. You don’t have to be a certified Scrum Master to be successful, but being a natural facilitator and communicator is a must.
Furthermore, you need the following qualifications:

  • Experience in driving product adoption within user communities.
  • A good understanding of data analysis, with the ability to interpret and present insights.
  • Strong communication skills with the ability to bridge the gap between technical teams and business stakeholders.

Workplace: AarhusReady to Make a Difference?
If you’re excited by the opportunity to shape the future of fashion through AI, we’d love to hear from you! Apply today and join us on our journey to transform the industry.
If you have questions about the position, you are welcome to reach out to Jakob Blaavand on +45 21 68 49 41. Otherwise, please send us your application as soon as possible and no later than 4 December 2024.
We review applications on an ongoing basis and reserve the right to take down the ad when we find the right candidate.ABOUT BESTSELLER TECH
We are more than 300 people strong, located in Denmark and in Spain. We are excited about what we do, but there’s more to us than our tech stack. We are young at heart and thrive in a flat organization. Our teams are agile and empowered with end-to-end responsibility. We want to be at the forefront of the newest technologies, and we move forward together. Every day. If you want to play a significant part in empowering our business, then welcome to BESTSELLER TECH. BESTSELLER TECH is part of the worldwide fashion company BESTSELLER. For more information, please go to www.bestseller.com.

Expected salary:

Location: Aarhus, Midtjylland

Job date: Fri, 08 Nov 2024 03:36:17 GMT

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