Solution Architect Insight
- Full-time
Company Description
The H&M group is on an exciting journey to meet and exceed our customers' expectations today, tomorrow and in the future. Rapid technological development and new customer behaviors are transforming the fashion retail industry.
Business Tech is a new modern agile product organization within the larger H&M group. We are a team of small and cross-competent teams each owning a product end-to-end with a mission to meet and exceed our customers’ expectations. While being autonomous teams, we still need guidance in how to develop our solutions to be interoperable and to meet future customer needs and be scalable. To achieve this, we need to expand the AIAD Solution Architect group.
Job Description
Solution Architect is a central role within AIAD, where you are the link between Business requirements and Value Streams, and the technical implementation of these requirements and needs. The Solution Architect is responsible for translating business- and tech requirements into architecture blueprints and identifying areas in need of improvements, holistically evaluate the architecture and use deep technical expertise to understand the business impact on technical components, recommending and implementing new solutions. A solution architect provides leadership related to the solution development by being responsible for the architecture and delivery of a solution or portfolio of solutions.
The solution architect needs to ensure alignment with the enterprise architecture standards, with all artifacts produced by the Enterprise Data Council, such as Physical modeling standards, standard templates for modeling, data product standards, data platform components standards etc.
As an Solution Architect Insight, you will join a smaller team of solution architects belonging to the DE, AI and Machine Learning Unit within AIAD, which works and deliver cross engagements and programs and provide direction, guidelines and standards for the AIAD community, as well as collaborate with Enterprise Architects for the definition and documentation of enterprise models across all enterprise domains, Information Architects for the definition and standards around modeling and Data Cataloging, the Data Governance group for the definition of Data Governance and Data Quality, as well as Data Platform Architects for the definition of the Data Platform Architecture framework and best practices. Together as a team, you will work on ensuring that all these architectural and information standards are followed in the product teams you will be allocated to, to support. You will have a chance to be involved in both business improvements and larger business initiatives for different Value Streams, and you will work with many different stakeholders to safeguard the technical solutions, as well as update them on roadmaps and implementation plans.
Responsibilities:
Here's a list of responsibilities you will have as a Solution Architect Insight:
Architecture vision and roadmap
- Define a shared technical and architectural vision focused on creating technical alignment for the full solution.
- Contextualize strategic vision and direction. Conduct Analysis, identify opportunities, constraints and support strategic activities related to development and management of solutions
- Analyze, design, develop and maintain roadmaps and implementation plans
- Identify interdependencies and use holistic thinking to ensure the cross-team perspective.
- Provide insight regarding industry technology trends and new technologies, assess their fit for purpose given business requirements and architecture guidelines.
Business understanding and collaboration
- Review, analyze and facilitate stakeholder understanding of business and technology implication of future direction, and influence decisions
- Provide guidance and coaching to stakeholders to advise on options, risks, costs vs. benefits, impact, priorities, etc.
- Ability to take the initiative and identify and address existing and potential obstacles, issues and opportunities.
Architectural blueprint, design and documentation
- Translate business and technical requirements into architectural blueprints and document all solution architecture design and analysis.
- Create architectural design to guide and contextualize solution development across initiatives that aligns with business and IT goals.
- Evaluate and drive continuous improvements, reducing the technical debt and enhancing end-to-end business value
- Develop architectural artefacts and maintain the toolbox including principles, guidelines, standards and best practices.
- Able to create both high-level and low-level design documentation and technical specifications
Leadership and coaching
- Provide necessary leadership, analysis and design tasks related to the development of technology solutions to ensure that solutions meet business needs and align with architectural governance and standards.
- Provide consulting support around solution architecture to teams to ensure a product is aligned with the overall enterprise architecture and all standards.
- Ensure relevant technical strategies, policies, standards and practices are applied correctly across Technology programs/projects and products
- Facilitate best practice sharing and teach architecture thinking to engineering and delivery community.
- Provide technical design and quality reviews at various milestones throughout project lifecycles.
Collaboration and holistic view
- Participate in internal and external activities related to technology matching and selection to ensure technology choices aligns with overall tech architecture and business strategy.
- Act as a bridge between the EDC, the Data and ML Platform and the product teams.
- Collaborate with other Solutions Architects within other Data Products to design and build adequate solutions for our business
- Strong collaboration with different other roles within the teams, like Product managers when defining the scope of deliveries, Data Platform engineers and SRE team, Data Analysts and Data scientists when analyzing data, ML Engineers during implementation of models.
- Work continuously with incorporating broader aspects such as overall product costs/revenue, data privacy and sovereignty, business continuity, information security, integration with other systems, etc.
- Participate in various working groups related to architecture within the EDC (Enterprise Data Council)
- While being a specialist in a particular area of our architecture and business, you also have a width across a specific set of disciplines within the domain.
Analytical and Technical skills
- Understand and visualize concepts that are not yet concrete, identify patterns and use your problem-solving skills, strong analytic ability, creativity and customer and business drive to find a solution and win support for your ideas.
- Handle incident management, investigation and their mitigation.
- Deep technical knowledge and subject matter expert in Data Warehouse and Analytics, AI and Machine Learning
- Ability to design solutions to enable the build of explorative, predictive- or prescriptive models
- Ability to design solutions that can deal with large and complex data sets.
- Ability to design framework for analytical pipeline
- Ability to transform proof of concept machine learning models into stable and scalable solutions
- Ability to analyze existing solutions and re-design them in GCP
Qualifications
As our future colleague, we believe that you possess the following skills and experiences:
- Several years’ experience working with solution architecture within AI and Machine Learning
- Experience of architectural framework and modeling techniques
- Experience in architecting/designing solutions built on Cloud (ideally Google or Azure)
- Enterprise Architecture
- Google Cloud and/or Azure platform
- Broad technology experience in areas such Cloud Architecture, Cloud computing, application development, relational databases, Storage, DevOps, Containers, Serverless, CI/CD, Machine learning, Management and monitoring, Cloud migrations, IT transformation.
- Ability to evaluate and develop governance structures, methodologies and compliance measures
- Ability to work with large and complex data sets
- Ability to create high-level and low-level design documentation and technical specifications
- Ability to extract, understand and present valuable information from data
- Very good understanding of Analytics
- Very good understanding of business logic
- Business and industry understanding, as well business analysis
- Experience from large and global organizations
- Experience of building machine learning models
- Ability to build mathematical models, validate and work with them
- Excellent verbal and written communication skills in English
Additional Information
This is a fulltime position with placement in Stockholm. There are endless opportunities to grow, regardless of whether you are interested in developing functional depth or business acumen. Just let your skills, ambition and imagination drive you.
At H&M we have a strong, value-driven culture characterized by believing in people, teamwork, and an entrepreneurial spirit. Here you can be yourself and develop. You will be part of an important transformation journey at H&M Group with significant opportunities to influence and make a difference. With the right mindset and ambition, you will find plenty of room to grow. We welcome your application regardless of gender, age, gender expressions, sexual orientation, disabilities, religious beliefs, origin, or background.
Please apply with your CV as soon as possible, no later than 15th August 2023. Please be aware that applications will be reviewed from week 35. If you have any questions about the role, please contact TAP Georgia Tooley at georgia.tooley@hm.com
We are looking forward to your application!