Senior Data/Information Manager

Connecting business concepts, terminology, metadata, ontologies and technical data structures to improve discoverability, interoperability and AI readiness

Identifying gaps between current Data Management practices and future AI and advanced analytics requirements

Translating strategic objectives and frameworks into practical implementation across business and IT

Facilitating collaboration and alignment between business, IT, architecture, data and AI teams

Driving knowledge sharing, coaching and capability development for sustainable Data Management practices

You will work in a large, complex enterprise environment where you, as a senior, hands-on and delivery-oriented professional, challenge traditional approaches, simplify complex topics and drive meaningful improvements across business and IT.

Requirements:
Minimum 7 years of 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

Bachelor’s or Master’s degree in Information Management, Data Management, Computer Science, Information Systems, Engineering or related field

Fluent English, written and spoken (required)

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

Strong knowledge of Data Governance, Data Quality, MDM, Metadata Management and Information Architecture

Proven 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

Expertise in semantic modelling and context layers, connecting business meaning, terminology, metadata, relationships and technical data structures

Ability to establish consistent business definitions and improve discoverability, interoperability and reuse across business and technical environments

Strong understanding of AI-ready data requirements and how traditional Data Management 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 AI-driven solutions

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

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

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

Excellent stakeholder management, facilitation, coaching and communication skills

Ability to explain complex Data and Information Management concepts to technical and non-technical stakeholders

Senior, analytical and pragmatic, with a transformation mindset

Comfortable challenging traditional approaches and introducing new ways of working

Understanding that successful transformation requires both technical expertise and organizational adoption

Excellent communicator and facilitator who simplifies complex topics and builds alignment

Enjoys coaching and helping stakeholders see the business value of improved Data Management

Collaborative and cross-functional, building strong relationships and influencing across organizational boundaries

Hands-on, proactive and delivery-oriented, with strong ownership and accountability

Able to translate strategic objectives into practical solutions while navigating competing priorities in a large enterprise

Meriting:
Advanced degree or professional certifications in Data Management, Data Governance, Enterprise/Information Architecture or AI/Data

Swedish, particularly for collaboration with local business and organizational stakeholders

Assignment details

Start: 2026-10-26 (as soon as possible, maximum 30 days’ notice period)

End: 2027-04-25 (maximum 6 months)

Location: Södertälje, Sweden

Workload: 100% (full-time)

Remote: Up to 40% – minimum 3 days per week on-site at the client’s office in Södertälje is mandatory, with the expectation to work up to 5 days on-site depending on project activities and business needs. You must be comfortable with a predominantly office-based arrangement and able to accommodate increased on-site presence when required.

Background check: All consultants must undergo a background check; if selected, you will need to provide your personal identity number (social security number)

We offer:
At WeQuel, you become part of a consultant team that values people first – we believe success is created through engagement, collaboration and development. We offer a flat organization with short decision paths, a strong sense of community and the opportunity to shape your own development.