Senior Data/Information Manager

Location: Predominantly on-site (3–5 days/week) Start Date: As soon as possible (maximum 30 days' notice period) Duration: Maximum 6 months Allocation: 100% (full-time) Language: Fluent English required; Swedish is advantageous Description We are looking for three highly experienced Senior Data/Information Managers to support the client’s transformation from traditional Data Management towards AI-ready Data Management. The assignment focuses on strengthening Data Management capabilities across the organization, ensuring that data is properly governed, trusted, understood, and ready to support 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 business areas adopt new approaches and build sustainable capabilities. You will also play an important role in developing enterprise data and information models, establishing semantic and context layers, and ensuring that business concepts, metadata, and data structures are aligned to support consistent interpretation and reuse of information. We are looking for a senior, hands-on, pragmatic, and delivery-oriented professional who can challenge traditional approaches, simplify complex topics, and drive meaningful improvements across business and IT. Key Responsibilities

• 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.

Education Must Have

• 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.

Must-Have Skills & Experience Data Management & Transformation

• 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.

Data Modelling, Semantics & Information Architecture

• 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 business and technical environments.

AI-Ready Data Management

• Strong understanding of AI-ready data requirements and how traditional Data Management practices must evolve 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 the needs of AI-driven solutions.

Stakeholder Management & Implementation

• 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.

Language Requirements

• English: Fluent professional proficiency, both written and spoken (required).
• Swedish: Advantageous, particularly for collaboration with local business and organizational stakeholders.

Who You Are You are a senior, analytical, and pragmatic professional with a strong understanding of Data and Information Management and its evolving role in enabling AI and advanced analytics. You have a transformation mindset and are comfortable challenging traditional approaches, identifying opportunities for improvement, and introducing new ways of working. You understand that successful Data Management transformation requires both technical expertise and organizational adoption. You are an excellent communicator and facilitator who can simplify complex topics and build alignment across business, IT, architecture, data, and AI teams. You enjoy coaching others and helping stakeholders understand how improved Data Management practices create business value. You take a collaborative and cross-functional approach, building strong relationships and influencing stakeholders across organizational boundaries. You are hands-on, proactive, and delivery-oriented, with a strong sense of ownership and accountability. You can translate strategic objectives into practical solutions while navigating competing priorities and complexity in a large enterprise environment.