Enterprise Architecture, Data and Security is a global unit within GSS IT, responsible for enterprise architecture, data and analytics, integrations, automation, and IT security governance. As part of the ongoing Data and Analytics Transformation, the organization is moving from a legacy Business Intelligence Competency Centre (BICC) model to a federated, dual enablement model from January 2026.
Two Data and Analytics sections have been established as part of this model: Enterprise Data Enablement, focusing on enterprise data domains and corporate reporting, and Business Data Enablement, focusing on business-domain and production data platforms in close collaboration with the Business Areas.
The Enterprise Data Enablement unit has been established to deliver trusted and scalable enterprise data capabilities, including corporate reporting, analytics, and self-service, with emphasis on enterprise data domains such as Finance, People, and Customer/CRM.
The unit is a key contributor to the GSS Data and Analytics Transformation and plays an important role in the migration of the enterprise data warehouse and analytics platform to Microsoft Fabric in 2026.
Your main responsibilities include as a Head of Section - Enterprise Data Enablement:
- Line management and competence development of the Enterprise Data Enablement team, including development and operations teams in Norway, Poland, and India
- Manage and enhance enterprise data and analytics capabilities (e.g. data warehouse, lakehouse, ingestion, and semantic layers) on our platforms
- Develop and maintain central solutions, such as cross-domain datasets, enterprise reporting, and shared analytics capabilities
- Service ownership for enterprise data enablement, including enterprise data warehouse and analytics platform
- Contribute to the GSS Data and Analytics Transformation and evolving ways of working
- Drive increased self-service analytics and AI-enabled capabilities
- Act as a key interface towards senior stakeholders across enterprise data domains
- Ensure alignment between enterprise data domains and domain-specific initiatives
- Support and oversee the migration to Microsoft Fabric
- Collaborate closely with architecture, security, platform, and delivery teams within GSS IT
- Balance stable enterprise services with responsiveness to evolving business needs
This role offers a unique opportunity to shape DNV’s enterprise data and analytics capabilities during a major transformation. You will work in an international environment with strong professional communities and opportunities for growth, contributing to DNV’s purpose of making the world safer, smarter, and greener.
- Flexible working arrangements to support work-life balance
- A supportive and inclusive environment that values diversity and encourages collaboration
- A work environment committed to diversity and continuous learning
- A collaborative culture that encourages knowledge sharing and professional growth
- We offer a comprehensive benefits package, in addition to a global profit share scheme
- Plenty of opportunities for our employees to connect through social and professional networks
DNV is an Equal Opportunity Employer and gives consideration for employment to qualified applicants without regard to gender, religion, race, national or ethnic origin, cultural background, social group, disability, sexual orientation, gender identity, marital status, age or political opinion. Diversity is fundamental to our culture and we invite you to be part of this diversity.
QualificationsQualifications
We are looking for a candidate with a strong combination of leadership capability, enterprise data competence, and stakeholder orientation:
- Bachelor’s or master’s degree in IT, computer science, business administration, or equivalent
- Solid experience with enterprise data warehouse and data platform environments, including architecture best practices
- Good understanding of enterprise data domains such as Finance, People/HR, and Customer/CRM
- Experience with Microsoft-based data and analytics technologies (e.g. Azure Synapse, Azure Analytics Services, Power BI)
- Experience with Informatica Cloud or similar enterprise data ingestion tools
- Experience with, or strong interest in, Microsoft Fabric and modern data platform concepts (e.g. medallion architecture)
- Proven ability to manage demanding stakeholders across different organizational levels
- Preferably experience from business relationships management and/or internal key account management
- Line management experience or readiness for a people leadership role
- Strong interest in transformation and change, including self-service and AI-enabled analytics
- Proficiency in English, written and oral
Personal Attributes
The right candidate is:
- Comfortable leading through change and transformation
- Service-oriented, while able to set clear priorities
- Confident in engaging senior stakeholders
- Structured, analytical, and solution-oriented
- Motivated by building strong teams and developing people
Security and compliance with statutory requirements in the countries in which we operate is essential for DNV. Background checks will be conducted on all final candidates as part of the offer process, in accordance with applicable country-specific laws and practices.
