DATA MANAGEMENT EXPERT

Are you passionate about data and eager to make a significant impact in a dynamic organization? At NCC, we can offer you just that, and we are now seeking a talented and driven Data Management Expert to join our Data Management Team! As a Data Management Expert, you’ll get the opportunity to help NCC realize one of its strategic initiatives becoming “A Data Informed Company“. You get the opportunity to grow and develop in an environment influenced by sustainability, digitalization, and innovation!

YOUR EXPERIENCE AND BACKGROUND

• Proven experience in Data Management, with a focus on Master & Reference Data Management and Data Quality Management.
• Strong problem-solving skills and a strategic mindset, with the ability to understand and enhance complex data processes. We value individuals who thrive in challenges and approach them with creativity.
• Demonstrated excellence in communication and collaboration to work effectively across teams, with proven stakeholder management skills. Leadership abilities, even without formal authority, are a key asset.
• Fluency in English and one Nordic language. Exceptional communication skills are essential.
• Knowledge of DAMA International and the DMBOK2 Framework is a plus, reflecting alignment with industry best practices.
• Familiarity with Microsoft products such as Office 365, Power BI, and Azure is a bonus. More importantly, a curiosity about new ideas and openness to change is what sets you apart.

THE ROLE AND KEY RESPONSIBILITIES

As a Data Management Expert, you will play a key role in establishing proper Data Management for our organization’s data. Your primary focus will be on the disciplines of Master & Reference Data Management together with Data Quality Management, ensuring our data is accurate, reliable, and a true asset for the business. You will help us ensure our data can drive business decisions and operational efficiency. You will ensure implementation of principles for how to manage Master and Reference Data and help foster trust in our data assets through Data Quality.
This role operates as a key member of the Data Management Team, actively contributing to the organization’s overall Data Management ambitions. In addition to driving excellence in Master & Reference Data, and Data Quality Management, the Data Management Expert will collaborate closely with team members to support broader initiatives within Data Management such as Data Governance, ensuring management of data as a strategic asset.

KEY RESPONSIBILITIES

• Lead and implement best practices for Master & Reference Data Management across the organization’s data landscape, driving alignment with business objectives.
• Drive initiatives to embed effective Master & Reference Data Management practices into business processes, ensuring data is fit for purpose.
• Define, implement, and enforce standards, principles, and procedures for robust Data Quality Management, with a focus on continuous improvement.
• Develop and oversee processes for Data Quality Incident Management and Data Quality Analysis, ensuring swift resolution and learning.
• Guide Data Area Owners and Data Stewards in defining, measuring, and reporting on KPIs for Data Quality, ensuring alignment with business goals.
• Collaborate with Data Area Owners, Data Stewards, and legal teams to ensure compliance with data-related laws and regulations, including data privacy and retention.
• Partner with cross-functional teams, acting as a bridge between stakeholders, business users, IT teams, data owners, and data consumers to align needs and.
• Promote a culture of communication and teamwork to enhance the understanding and application of Master & Reference Data Management and Data Quality Management principles.
• Evaluate, design, configure, and implement tools and systems for effective Data Quality and Master & Reference Data Management, keeping abreast of new technologies and solutions.
• Shape and contribute to the organization’s “Long, Mid Data Plan” to ensure scalability, innovation, and alignment with long-term objectives.