Senior Data/Information Manager

emagine Polska is hiring for a position based in the Stockholm Metropolitan Area. The role supports a client’s transformation from traditional Data Management to AI-ready Data Management, focusing on strengthening Data Management capabilities to support AI, advanced analytics, and future digital capabilities.

• Bachelor's or Master's degree in Information Management, Data Management, Computer Science, Information Systems, Engineering, or a related field.

Meriting:

• Advanced degree or relevant professional certifications in Data Management, Data Governance, Enterprise/Information Architecture, or AI/Data.

• Minimum 7 years of professional experience in Data Management, Information Management, Data Governance, or related fields.

• Minimum 5 years of experience leading or supporting enterprise-level Data and Information Management transformation in complex organizations.

• Proven experience establishing and implementing Data Management frameworks, principles, standards, and operating models.

• Strong knowledge of Data Governance, Data Quality, Master Data Management (MDM), Metadata Management, and Information Architecture.

• Demonstrated ability to translate Data Management strategies and frameworks into practical implementation and adoption.

• Strong experience developing and governing enterprise data models, information models, conceptual models, business glossaries, taxonomies, or ontologies.

• Demonstrated expertise in semantic modelling and context layers, including connecting business meaning, terminology, metadata, relationships, and technical data structures.

• Ability to establish consistent business definitions and improve data discoverability, interoperability, and reuse across different environments.

• Strong understanding of AI-ready data requirements and evolving Data Management practices to support AI and advanced analytics.

• Ability to identify gaps between current Data Management capabilities and future AI requirements.

• Experience aligning Data Governance, data quality, metadata, information architecture, and business context with AI-driven solution needs.

• Experience collaborating across business, IT, architecture, data, and AI teams in complex enterprise environments.

• Proven ability to move from strategic concepts and frameworks to hands-on implementation and organizational adoption.

• Excellent stakeholder management, facilitation, coaching, and communication skills.

• Ability to explain complex Data and Information Management concepts clearly to both technical and non-technical stakeholders.

• Experience supporting business areas in adopting new frameworks, standards, roles, and responsibilities.

• Fluent professional proficiency in English (written and spoken) required.

• Swedish language skills are advantageous for collaboration with local stakeholders.

• Lead and support the transition from traditional Data Management towards AI-ready Data Management.
• Define and implement practical Data Management frameworks, principles, standards, and ways of working.
• Support and coach business areas throughout their Data Management transformation and adoption journey.
• Provide expertise in Data Governance, Data Quality, Master Data Management (MDM), Metadata Management, Information Architecture, and data ownership.
• Define, govern, and continuously improve enterprise data models, information models, and conceptual models.
• Establish semantic and context layers that provide consistent business meaning to data and enable reuse across business processes, analytics, and AI solutions.
• Connect business concepts, terminology, metadata, ontologies, and technical data structures to improve data discoverability, interoperability, and AI readiness.
• Identify gaps between existing Data Management practices and future requirements for AI and advanced analytics.
• Translate strategic objectives and frameworks into practical implementation across business and IT.
• Facilitate cross-functional collaboration and alignment between business, IT, architecture, data, and AI teams.
• Drive knowledge sharing, coaching, and capability development to establish sustainable Data Management practices within the organization.

Informujemy, że administratorem danych jest emagine z siedzibą w Warszawie, ul.Domaniewskiej 39A (dalej jako "administrator"). Masz prawo do żądania dostępu do swoich danych osobowych, ich sprostowania, usunięcia lub ograniczenia przetwarzania, prawo do wniesienia sprzeciwu wobec przetwarzania, a także prawo do przenoszenia danych oraz wniesienia skargi do organu nadzorczego. Dane osobowe przetwarzane będą w celu realizacji procesu rekrutacji. Podanie danych w zakresie wynikającym z ustawy z dnia 26 czerwca 1974 r. Kodeks pracy jest obowiązkowe. W pozostałym zakresie podanie danych jest dobrowolne. Odmowa podania danych obowiązkowych może skutkować brakiem możliwości przeprowadzenia procesu rekrutacji. Administrator przetwarza dane obowiązkowe na podstawie ciążącego na nim obowiązku prawnego, zaś w zakresie danych dodatkowych podstawą przetwarzania jest zgoda. Dane osobowe będą przetwarzane do czasu zakończenia postępowania rekrutacyjnego i przez okres możliwości dochodzenia ewentualnych roszczeń, a w przypadku wyrażenia zgody na udział w przyszłych postępowaniach rekrutacyjnych - do czasu wycofania tej zgody. Zgoda na przetwarzanie danych osobowych może zostać wycofana w dowolnym momencie. Odbiorcą danych jest serwis Just Join IT oraz inne podmioty, którym powierzyliśmy przetwarzanie danych w związku z rekrutacją.