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 Business Data Enablement section is responsible for enabling domain-specific data platforms and analytics solutions together with the Business Areas. The section supports business-led data initiatives by establishing and operating modern, scalable data platforms based on technologies such as Microsoft Fabric, Databricks, and Snowflake, depending on business needs and use cases.
As Head of Section – Business Data Enablement, you will have line responsibility for the section and service responsibility for business data enablement services delivered in close collaboration with the Business Areas. You will be accountable for developing the section’s capabilities, ways of working, and stakeholder collaboration model.
The role is highly business-facing and combines people leadership, service ownership, and active stakeholder management. You will work closely with Business Areas to design, establish, and evolve domain-specific data platforms and analytics capabilities, while ensuring alignment with enterprise architecture principles and common standards.
Your main responsibilities include:
- Line management and competence development of the Business Data Enablement team, including development and operations teams in 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 Business Area specific solutions, such as business domain datasets, reporting, and analytics capabilities
- Service ownership for business data enablement, including domain-specific data platforms and analytics solutions
- Partner closely with Business Areas to understand data needs and support implementation of domain data platforms
- Contribute to the GSS Data and Analytics Transformation from a business-domain perspective
- Drive adoption of modern data platform technologies (e.g. Microsoft Fabric, Databricks, Snowflake) serving domain-specific business requirements
- Ensure alignment between business-domain data platforms and the enterprise data platform (Microsoft Fabric based) including architecture, data and security standards
- Build strong business relationships with stakeholders in Business Areas
- Balance flexibility and innovation in business-domain solutions with maintainability and scalability
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
Qualifications
We are looking for a candidate with a strong combination of leadership capability, business data competence, and stakeholder orientation:
- Bachelor’s or master’s degree in IT, computer science, data/analytics, business administration, or equivalent experience
- Solid experience with modern data platforms and analytics solutions in a business or domain context
- Experience working with one or more of the following technologies: Microsoft Fabric, Databricks, Snowflake, including modern data platform concepts (e.g. medallion architecture)
- Experience with Informatica Cloud or similar enterprise data ingestion tools
- Good understanding of how data platforms support business processes and domain-specific use cases
- Proven ability to work closely with Business Areas and translate business needs into scalable data solutions
- Experience managing 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 modern ways of working and self-service 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.
About Us
