Company Description

As one of the world’s largest fashion companies with more than 150,000 employees worldwide, H&M is an exciting and dynamic place to pursue a career within the fashion industry. H&M group comprises nine independent brands: H&M, COS, Weekday, Monki, Cheap Monday, H&M Home, & Other Stories and ARKET. We have over 4,000 stores across more than 77 markets worldwide. 

Rapid technological development is transforming the fashion retail industry. From AI to data-driven business development, user experience to engineering, we turn business challenges into innovative tech solutions – making H&M Group a global leader in combining tech, fashion, and design. 

The H&M Group’s Tech organization is increasing its focus on leveraging AI to drive Automation to deliver business results.  We explore new ways of working, have a customer focused mindset, embrace our strong values, and release the power of our people to innovate and develop products that make a meaningful impact to customers all over the world.  The team aims to continuously surprise and delight our customers and accelerate our business - by releasing the power of people, data and technology.  To cater to the individual needs and desires of our millions of customers, Business Tech will deliver technological solutions for the entire value chain for all our brands!

• Would you like to work in an internationally agile-driven environment on solutions used in various parts of the world?
• Do you consider yourself a proactive, self-driven colleague who can take full ownership of the initiative working both independently and as part of a group? 
• Do you believe “Colleagues are our most valuable asset”? 
   

If the answer is “Oh yes!”, then this opportunity might be something for you! 

Job Description

Imagine an opportunity to make an impact at scale by leading the strategy, design, development, and implementation through managing your own Data Engineering team within H&M Tech Organization!  

As a leader, you will develop Data Engineering strategies overseeing the design, construction, installation, and maintenance of data architecture, ensuring the seamless flow and accessibility of data across the organization to maximize H&M Brand’s business value.

You thrive in fostering teamwork/collaboration and developing world-class Strategic, Technical, Engineering, and Operational capabilities. We are shaping the future of sustainable fashion and design- we trust and challenge you to grow, develop, and write your own story! 

 Core Responsibilities includes but is not limited to:  

Leadership: 

1. Drive and lead the design a multi-year data and product strategy to create new data products and drive measurable competitive advantage for H&M. Determine the investments necessary in terms of people and technology to achieve these objectives 
2. Explore data engineering, data science and AI developments and translate these to the data strategy to keep H&M on the cutting edge of data optimization. 
3. Provide strategic leadership and vision for the data engineering team. 
4. Promote identification of new internal and external data assets; approve selection and integration 
5. Build and lead a high-performing team, fostering a culture of innovation, collaboration, and continuous improvement. 
6. Collaborate with cross-functional teams, including data science, analytics, and IT, to align data engineering initiatives with overall business objectives. 
7. Formal staff responsibility, including salary review, performance dialogues and support in individual development plans and competence needs 

Data Architecture: 

1. Develop and implement a scalable and robust data architecture to support current and future business needs. 
2. Define and enforce data engineering standards, best practices, and guidelines. 
3. Stay abreast of industry trends and emerging technologies to ensure the organization remains at the forefront of data engineering capabilities. 

Data Integration and ETL: 

1. Oversee the development and maintenance of efficient and scalable ETL processes for data integration. 
2. Ensure the timely and accurate extraction, transformation, and loading of data from various sources into the data warehouse. 
3. Data Quality and Governance: 
4. Implement data quality and governance processes to ensure the accuracy, completeness, and reliability of the organization's data. 
5. Establish and enforce data security and privacy measures in compliance with regulatory requirements. 

Infrastructure Management: 

1. Manage and optimize data infrastructure, including databases, storage, and processing systems. 
2. Collaborate with IT teams to ensure the availability, performance, and scalability of data systems. 

Qualifications

1. Masters or Graduate degree in Computer Science, Engineering OR related discipline is desired 
2. Open to any Industry, though experience within retail/brands/e-commerce would be an added advantage 
3. 15+ years of data and analytics leadership experience 
4. Demonstrated experience in designing and implementing scalable and efficient data architectures  
5. Expertise in ETL processes, data integration, and data warehouse technologies 
6. Broad technology skills in data, AI/ML and ability to translate knowledge into solutions which transform the customer’s experience. 
7. Experience designing and leading or rolling out product oriented methodology across teams 
8. Experience working in globally matrixed organizations. A demonstrated ability to unify and lead teams within a matrixed organization. 
9. Experience managing a large portfolio of data products, analytical/AI products and data platforms 
10. In-depth knowledge of data governance, quality, and security best practices 
11. Experience working in a globally matrixed organization (Agile method and scum teams) with the ability to unify and lead teams within a matrixed organization.  
12. Previous experience managing large programs and budgets preferred, referenceable leadership, management, or key influencer experiences required 

Additional Information

Inclusion & Diversity 
At H&M Group, we’re determined to create and maintain inclusive, diverse, and equitable workplaces throughout our organization. Our teams should consist of a variety of people who 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 to your application as it often contains information that can easily trigger unintentional biases.

This is a fulltime position with placement in Bangalore. If your experience, skills, and ambitions are right for this role, please apply with CV in English. 
 
Please do not send applications to individual email address, due to GDPR, we only accept applications through our career page. We look forward to receiving your application!