Senior Enterprise Architect

As a Senior Enterprise Architect, you will play a crucial role in spearheading the digital transformation journey of a global sourcing business. Your main focus will be on designing and implementing scalable, data-driven technology solutions to enhance core business operations, particularly in sourcing, merchandising, and supply chain. Your role requires you to be a strategic thinker with a strong technical background, extensive experience in enterprise architecture, and a proven track record of driving tangible business outcomes through digital initiatives. - Define and lead the execution of the digital transformation roadmap in alignment with business objectives. - Design enterprise-grade, scalable technology solutions with a focus on predictive analytics, supply chain agility, and operational optimization. - Advocate for the use of digital platforms across business units to ensure alignment between business needs and technology capabilities. - Collaborate with department heads and executive stakeholders to identify operational challenges and co-create technology-driven solutions. - Lead transformational initiatives aimed at modernizing business processes and enhancing cross-functional agility. - Drive organizational change management efforts to facilitate the adoption of new digital tools and systems. - Architect modern data ecosystems and AI/ML pipelines to enable real-time insights into inventory management, demand forecasting, and trend analysis. - Utilize various data sources, including POS, sales performance, and social media trends, to support strategic decision-making. - Ensure seamless integration of predictive analytics into operational workflows and performance dashboards. - Act as a strategic liaison between the technology team and core business functions such as sourcing and merchandising. - Oversee the development, deployment, and continuous improvement of digital platforms and business intelligence tools. - Establish standards for system integration, cloud infrastructure, and data security to ensure scalable and sustainable implementation. - Monitor industry trends and assess emerging technologies to recommend innovative solutions. - Implement automation and AI-enabled capabilities to streamline manual tasks and enhance responsiveness. - Foster a culture of continuous improvement and experimentation within the technology landscape. - Bachelor's degree in Computer Science, Engineering, Data Science, or a related field is mandatory. - Master's degree or certifications in enterprise architecture or cloud platforms (e.g., TOGAF, AWS, Azure) are preferred.,