Software Developer in Test working on cloud - based data platform at Tecsys. Ensuring quality and reliability of data pipelines and transformations using automation frameworks.
About the role
- 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.
Benefits
- Smoke-free Workplace
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Location requirements
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