Senior Data/Information Managers

MultiMind Bemanning AB; Södertälje kommun; On-site; SEK 1,100,000 - 1,600,000; Full time

Job summary

MultiMind Bemanning AB is seeking an experienced Senior Data/Information Manager to drive a transformation of traditional Data Management into AI-ready practices. The role focuses on governance, data quality, and enterprise modelling within a global automotive data initiative.

You will collaborate with business, IT, and AI teams to translate strategy into practical implementation and coach stakeholders across the organization.

Qualifications

• Bachelor's or Master's degree in a relevant field.
• At least 7 years of experience in Data Management, Information Management, or Data Governance.
• At least 5 years of experience supporting or leading enterprise-level Data Management transformation.
• Strong expertise in Data Governance, Data Quality, MDM, Metadata Management, and Information Architecture.
• Experience with enterprise data modelling, semantic modelling, taxonomies, ontologies, or business glossaries.
• Understanding of AI-ready data requirements and data needs for advanced analytics.
• Strong stakeholder management, communication, and coaching skills.
• Ability to translate strategies and frameworks into practical implementation.
• Language: Fluent English required; Swedish is an advantage.

Responsibilities

• Lead and support Data Management transformation.
• Develop and implement Data Governance frameworks, standards, and ways of working.
• Drive Data Quality, Master Data Management (MDM), and Metadata Management.
• Develop and govern enterprise data models, information models, and business glossaries.
• Establish semantic models and context layers to support data reuse, analytics, and AI.
• Bridge the gap between strategic objectives and practical implementation.
• Collaborate with business, IT, architecture, data, and AI teams.
• Coach stakeholders and support organizational adoption of new practices.

Skills

Stakeholder management

Communication

Coaching

Strategy translation

Data Governance

Data Quality

Master Data Management

Metadata Management

Information Architecture

Fluent English

Education

Bachelor's or Master's degree in a relevant field

Job description

You will work with a leading international company in the automotive industry, undergoing a major digital transformation to strengthen its data capabilities and enable AI-driven innovation. The organization operates in a complex, global environment where high-quality, well-governed data is essential for future business development.

We are looking for highly experienced Senior Data/Information Managers for an exciting assignment focused on transforming traditional Data Management into AI-ready Data Management.

Key Responsibilities:

• Lead and support Data Management transformation.
• Develop and implement Data Governance frameworks, standards, and ways of working.
• Drive Data Quality, Master Data Management (MDM), and Metadata Management.
• Develop and govern enterprise data models, information models, and business glossaries.
• Establish semantic models and context layers to support data reuse, analytics, and AI.
• Bridge the gap between strategic objectives and practical implementation.
• Collaborate with business, IT, architecture, data, and AI teams.
• Coach stakeholders and support organizational adoption of new practices.

Requirements:

• Bachelor's or Master's degree in a relevant field.
• At least 7 years of experience in Data Management, Information Management, or Data Governance.
• At least 5 years of experience supporting or leading enterprise-level Data Management transformation.
• Strong expertise in Data Governance, Data Quality, MDM, Metadata Management, and Information Architecture.
• Experience with enterprise data modelling, semantic modelling, taxonomies, ontologies, or business glossaries.
• Understanding of AI-ready data requirements and data needs for advanced analytics.
• Strong stakeholder management, communication, and coaching skills.
• Ability to translate strategies and frameworks into practical implementation.
• Language: Fluent English required; Swedish is an advantage