Senior Data/Information Managers

Assignment description

We are looking for experienced Senior Data / Information Managers to support a large-scale transformation from traditional Data Management towards AI-ready Data Management.

The assignment focuses on strengthening Data Management capabilities across the organization and ensuring that data is governed, trusted, understood and structured in a way that supports AI, advanced analytics and future digital capabilities.

In this role, you will work closely with business areas and cross-functional stakeholders to develop practical frameworks, principles, standards and ways of working. A key part of the assignment is to bridge the gap between strategic Data Management objectives and practical implementation, helping teams adopt new approaches and build sustainable capabilities.

You will also contribute to the development of enterprise data and information models, semantic and context layers, and the alignment of business concepts, metadata and technical data structures. The goal is to create consistent meaning, improve data discoverability and interoperability, and enable reuse across business processes, analytics and AI solutions.

The role includes expertise across areas such as Data Governance, Data Quality, Master Data Management, Metadata Management, Information Architecture and data ownership. You will identify gaps in current practices, translate strategic objectives into concrete improvements, and facilitate collaboration between business, IT, architecture, data and AI teams.

You will also support knowledge sharing, coaching and capability development to help establish long-term and sustainable Data Management practices across the organization. 

Qualifications

Must-have:

• You have a Bachelor’s or Master’s degree in Information Management, Data Management, Computer Science, Information Systems, Engineering or a related field.
• You have at least 7 years of professional experience within Data Management, Information Management, Data Governance or related areas.
• You have at least 5 years of experience supporting or leading enterprise-level Data and Information Management transformation in complex organizations.
• You have strong experience establishing and implementing Data Management frameworks, principles, standards and operating models.
• You have solid expertise across Data Governance, Data Quality, Master Data Management, Metadata Management and Information Architecture.
• You have experience developing and governing enterprise data and information models, including conceptual models, business glossaries, taxonomies or ontologies.
• You have strong knowledge of semantic modelling and context layers and understand how business concepts, metadata and technical data structures can be connected to improve discoverability, interoperability and reuse.
• You have a strong understanding of AI-ready Data Management and how governance, data quality, metadata and information architecture need to support AI and advanced analytics.
• You are experienced in translating strategic Data Management objectives into practical implementation, adoption and measurable improvements.
• You are comfortable collaborating across business, IT, architecture, data and AI teams and have strong stakeholder management, facilitation and coaching skills.
• You communicate complex Data and Information Management concepts clearly to both technical and non-technical stakeholders.
• You are fluent in English, both written and spoken.

Meriting

• An advanced degree or relevant professional certification within Data Management, Data Governance, Enterprise or Information Architecture, or AI/Data is considered an advantage.
• Knowledge of Swedish is meritorious, particularly for collaboration with local stakeholders.

You are a senior, analytical and pragmatic professional with a strong understanding of Data and Information Management and its role in enabling AI and advanced analytics. You are comfortable challenging established ways of working, identifying improvement opportunities and turning strategic objectives into practical solutions.

You combine strong technical understanding with a clear transformation mindset and recognize the importance of both implementation and organizational adoption. You communicate complex topics in a clear and accessible way, build alignment across business and technology teams, and enjoy coaching others and sharing knowledge.

You are collaborative, proactive and delivery-oriented, with a strong sense of ownership. You are comfortable navigating complexity, balancing competing priorities and driving work forward in a large enterprise environment.