Director, Area Lead Engineer – Data Engineering, AI Analytics

2 weeks ago


Stockholm, Stockholm, Sweden H&M Full time
  • Full-time
Company Description

H&M Group is a family of brands; H&M, COS, Weekday, Monki, H&M HOME, & Other Stories, ARKET and Afound. At H&M Group, our people are the driving force behind our commitment to creating meaningful growth and more sustainable lifestyles. Help us re-imagine fashion and together we will re-shape our industry. Learn more about H&M Group here .

Job Description

Are you a Director of Data Engineering with a desire to make an impact and steer one of H&M's most crucial sectors? If you are ready to take a pivotal role in shaping the future of retail, we have the perfect role for you.

As the Area Lead for Data Engineering within our Supply Chain & Enterprise division, you will have considerable influence across the entire organization. Your role will be central to our company-wide programs, directly impacting a key area of H&M. You will engage with a multitude of stakeholders, fostering strong relationships that are the cornerstone of our collaborative culture. Your goal is to embody the principles of servant leadership, where a significant portion of your role will be dedicated to people management. The supply chain is the heart of H&M, and your leadership will ensure its rhythm is strong and steady.

Key responsibilities:

  • Lead and mentor a team of Engineering Managers, providing strategic guidance, setting performance goals, and fostering a collaborative and innovative environment

Collaborate with stakeholders to define the strategic direction, aligning it with business goals and customer needs

Define high level KPIs and targets for the area

Driving program enhancements and optimizing delivery outcomes

Qualifications

Bachelor's or master's degree in computer science, Engineering, or a related field

At least 8years of experience within Data Engineering or similar areas

A background in supply chain is highly beneficial

Proven experience in leadership roles within data engineering. Preferably experience in leading managers.

Strong proficiency in SQL, Python, and big data technologies (e.g., Hadoop, Spark)

Familiarity with cloud services (GCP, AWS, Azure) and data warehousing solutions

Excellent problem-solving and project management skills

What you need to succeed:

A passion for data and its potential to drive business success

The ability to inspire and lead teams towards achieving technical excellence

Strong communication skills to effectively collaborate with stakeholders

A commitment to staying current with the latest industry trends and technologies

If you are a strategic thinker with a track record of leading successful data engineering projects, we encourage you to apply for this exciting opportunity to shape the future of data within our company.

Additional Information

This is a full-time position based in Stockholm. Apply by sending in your CV in English as soon as possible, but no later than 30-June 2024. We will review and interview candidates ongoing. Due to data policies, we only accept applications through the career page.

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