Data Architect managing Commercial Data architecture initiatives for Valmet's sales and service team. Leading AI-driven data integrity and quality efforts in a global context.
Responsibilities
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.
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