AI Learning Lead

Company Description


Shaping the future of fashion with people, data, and tech - The fashion and retail industries are going through a transformation, driven by customers technology and sustainability expectations. At H&M Group, we want to shape the future of retail by harnessing the power of smart tech and data. With our 74-year history of innovation, we understand the need to collaborate and co-create with engineers and tech specialists around the world to achieve our vision.
AI Foundation is the team within the area AI, Analytics and Data that focuses on developing Machine Learning solutions to support and/or improve different H&M group processes that range from Supply Chain and Production (Quantification, Allocation and Pricing models are some examples) to Customer areas (recommendation engines, etc.).
The AI Community team is responsible for creating awareness and interest in AI internally to help develop a data-driven culture and externally to attract talent and raise H&M’s profile while continuing to educate and upskill the organization at all levels.


Job Description


We’re looking for a versatile AI Learning Lead with a background in data science or advanced data analytics who is interested in designing and developing effective, creative and innovative AI training solutions. You will design, build and facilitate learning and development initiatives in various formats such as E-learning, workshops and managing peer coaching groups. These training programs will be for a variety of personas, including but not limited too data scientists, ML Engineers, data analysts, and business users, globally.
Thanks to your strong communication skills, you’ll be able to translate the curriculum needs into an actionable plan that is repeatable, scalable and balances things like quality of learning experience, available capabilities, capacity, and operational costs. As we work with several platform vendors, you’ll partner with them to leverage existing training courses and content and roll these out for all employees.
You’ll also partner closely with the Learning & Development CoE within Business Tech HR to keep each other apprised of learning and development plans, content best practices and relevant tools and software.


Qualifications


* Must have AI, Data Science or Data Analytics experience.
Required skills/qualifications:
3+ years of relevant work experience
Background in data science or advanced data analytics
Strong AI knowledge and work experience
Strong business acumen, analytical and problem solving skills
Experience and knowledge of Agile methods and tools (Jira, Miro boards,...)
Experience in handling several projects at the same time in a fast paced environment

“Nice to have” skills/qualifications:
Experience working in learning and development roles
Leadership and influencing skills
Fashion or retail industry experience

Required language skills:
English, fluent oral and writing



Additional Information


Just like everyone at H&M, we believe you are a social, open, communicative sales-minded and ambitious team player full of drive and optimism. Your skills and knowledge include:
You are very hands-on and pragmatic
You are structured and analytical
You are driven and have good prioritization skills
You have a strong interest in the advanced analytics/AI area
You have strong communication skills (oral and written)
You are naturally curious
You have good networking skills
You feel comfortable driving projects in a very dynamic environment and are not afraid to try and fail

What we offer:


Besides the obvious perks such as staff discount card, flexible work life, learning communities, wellness benefits, parental benefits etc. you are joining a unique value driven culture, a large tech network and community where you can be yourself. There are endless opportunities to experiment and grow in any direction that you want and when you grow, we grow. Being a major player gives us countless opportunities to make a real impact and shape the future.
Do you think we are a match? We hope so!
This is a full-time position with placement in Stockholm. Please apply with your CV as soon as possible. We screen applications on a continuous basis.