H&M is on a journey to meet and exceed our customers' expectations today and tomorrow. Through collaboration, innovation, and technology we challenge ourselves and the industry. To cater to the individual needs and desires of our millions of customers, our tech organisation delivers solutions for the entire value chain for all our brands.
We are accelerating digitalisation and to stay relevant, we need to ensure we have strong leaders in place to bring our best capabilities, innovation ideas and talented technologists to support the transformation of H&M Group.
We take pride in our history of making fashion accessible to everyone and our ambition for tomorrow is to make fashion even more sustainable, inclusive, and welcoming. If you want to make an impact as ALE Product Program Managment on a global scale, then this is the opportunity for you!
The role of Unit Lead Engineer for Data Product & Strategy is to drive and lead the design of a multi-year data and product strategy to create new data products and drive measurable competitive advantage for H&M. This includes definition for the value stream measurement to the repeatable product definition to the assurance of the product quality and delivery.
Responsibilities:
Drive and lead the design & delivery of 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
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.
Orchestrate all data efforts within IT and the business and align the business to the IT agenda aligned with new capabilities and methods.
Promote identification of new internal and external data assets; approve selection and integration
Explore the ecosystem (internal, external) and inject new insights for data into IT and the business and use specific designed used cases and lead the sharing of research findings broadly within H&M.
Drive and articulate the broader need of data engineering and data science and aligned re-usable and scalable tooling for implementations; deploy world-class data and AI capabilities
Advise business leadership team on data and AI opportunities to utilize and to collaborate, thus shaping H&M data story and collaborate with business leaders develop a consolidated data portfolio and projects aligned with overall IT and H&M strategic roadmaps and with a strong focus on scaling up projects.
Responsible for architecting and institutionalizing modern data governance policies, and for leading the execution of a range of data governance activities to manage and protect the company’s data assets in the enterprise data office.
The role will be accountable to lead and provide direction in the following areas for Enterprise data: data governance strategy and operations, data standards development and management, data catalog capability, data quality management, data policy, and compliance.
Formal staff responsibility, including salary review, performance dialogues and support in individual development plans and competence needs.
Demonstrated success in the areas of IT Business Partnership & Relationship Management, Value Realization, IT Vendor Management/Governance
Spends time identifying all stakeholders necessary and meets or connects with all of them, neglecting no one to shape a collective consensus.
Proven track record of driving change in processes and organizations, while maintaining working relationships with key business customers.
Versed in Risk management possessing ability to identify, analyze, track, manage and resolve risks issues that impact project
Broad technology skills in data, AI/ML and ability to translate knowledge into solutions which transform the customer’s experience.
Experience socializing and serving as a liaison between the AIAD and business partners to demonstrate the value proposition of the service delivery framework to leadership
Leadership (Vision, strategy and business alignment, people management, communication, influencing others, managing change)
Experience of designing, and evaluating organizational transformations and delivering large scale change that adds value from data and information
Functional knowledge:
IT Project/Program Management,
IT Service Management
Collaborating and Influencing
Negotiation skills
Leadership behaviours:
As a role model for our values and putting them into action, you are expected to demonstrate excellent cognitive, social and emotional skills and know how to nurture them in others by having the ability to…
... commit to directional decisions, take ownership of the whole and collaborate across boundaries
… create trust and dare to lead
... communicate in a timely and clear way
... strive for speed, reduce complexity and focus on the outcome
… stay curious and be open to new perspectives
Working with tech at H&M
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 fashion and lifestyle 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.
What we offer!
You are joining a unique value-driven culture, a large tech network and community where you can be yourself. Besides the obvious perks such as staff discount card, flexible work life, learning communities, wellness benefits, parental benefits etc. 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.
We are committed to create an inclusive & diverse workplace with a culture that is dynamic and innovative.
Sounds interesting?
This is a full-time position based in Stockholm. Please apply as soon as possible.
We do not accept applications through email due to GDPR