about the company.
our client is a well known global company in retail/luxury industry
about the team.
international, professional and open-minded team
about the job.
...
Develop and maintain a comprehensive enterprise architecture strategy that aligns with the organization's business strategy
Define and implement standards, principles, and guidelines for technology infrastructure, applications, and data across the organization
Align front-office (eCommerce, CRM, Marketing, Clienteling, POS…) and back-office (ERP, WMS, PLM…) IT leaders towards a consistent strategy, while positioning the data platform to the right level
Collaborate with various stakeholders to understand their requirements and translate them into effective technology solutions while promoting data governance best practices
Drive technology requirements and investments that make analytics a game changer for the company
Collaborate with other IT departments to ensure seamless connectivity and compatibility of systems for efficient data transfer and integration
Ensure the good IT flow integration, leveraging API and RealTime solutions and putting in place a transversal vision between processes&architecture.
skills and experience required.
Deep understanding of enterprise architecture approach and multi-application design
Strong background on modern data platform delivery, including data ingestion, transformation, exposition, and visualization
Experience in designing complex IT systems that are scalable, secure, reliable, and easily maintainable, especially around retail & front office services
Strong leadership abilities with the capability to provide vision and guidance for IT initiatives, both to business stakeholders and IT experts
Strong strategic thinking, problem-solving, and decision-making abilities to align data initiatives with business objectives.
Excellent communication skills with the ability to articulate technical concepts to non-technical stakeholders while promoting adherence to business objectives
In-depth knowledge of data governance practices, data quality management, and regulatory requirements (e.g., PIPL, CSL, GDPR, CCPA)
Knowledge of cybersecurity practices relevant to enterprise architecture, data management, and adherence to group-wide security policies Proven track record in driving innovation through effective use of data platforms with AI