Data Architect, Commercial Data

Role Overview

• Leads sales and business partner data architecture initiatives across domain roadmaps, ensuring data considerations are embedded in the development of domain capabilities and support scalable analytics and AI-driven business capabilities
• Identifies needs for development, analyzes gaps, creates plans, collects requirements and implements with a focus on business outcomes, value creation, scalability and AI enablement
• Owns concepts, process and data standard for data domain, ensuring they support automation and advanced analytics requirements
• Ensures proper data documentation of the domain data and related processes to enable efficient AI model development and data reusability
• Acts as driver in data-domain-related projects and transformation initiatives, including those enabling predictive and generative AI solutions
• Responsible for setting domain specific data quality principles and rules
• Design data processes, system changes and transition plans together with business
• and IT stakeholders, ensuring readiness for AI-enabled business processes
• Engages with all relevant stakeholders, including IT, business units, and vendors
• Promotes scalable data solution architecture and innovation, including the practical and value-driven use of AI technologies to unlock new business value.
• Drives awareness and understanding of AI-related opportunities, risks, and best practices within the Commercial Data domain and the extended stakeholder network
• High level of accountability — you take ownership and lead with courage

Requirements

• B.Sc. or M.Sc. in Information Systems, Data, or related field
• 5+ years of demonstrated experience in data management specifically for sales and business partner data combined with overall business process acumen in a global organization
• Strong knowledge of data architecture principles and data modelling
• Experience of leading project work, planning and organizing
• Demonstrated ability to manage adversity and challenging situations, and deliver results
• Understanding of modern data management, governance technologies, and applied AI trends
• Organized and detail-oriented with the ability to prioritize
• Genuine interest in following data, AI, and analytics technologies and applying them pragmatically in business
• Excellent communication skills in English, stakeholder management, and change leadership skills
• A collaborative mindset and the ability to develop cooperative relationships and influence across organizational boundaries.

Benefits

• Smoke-free Workplace