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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in Data Management and Governance, with a strong focus on implementing frameworks and standards that enhance AI readiness and interoperability. Proven ability to facilitate collaboration across business and IT teams while driving knowledge sharing and capability development.
Highest-signal resume keywords
Data ManagementData GovernanceData QualityInformation ArchitectureAI-Ready Data Requirements
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data Management FrameworksMetadata ManagementEnterprise Data ModelsSemantic ModellingConceptual ModelsBusiness GlossariesTaxonomiesAI/Advanced AnalyticsInformation ManagementData Transformation
Soft Skills
Stakeholder ManagementFacilitationCoachingCommunicationAnalytical Thinking
Certifications & Qualifications
Bachelor’s DegreeMaster’s Degree
Industry Keywords
InteroperabilityAI ReadinessComplex OrganizationsData Management PracticesTransformation Mindset
About the role
Key responsibilities & impact- Connect business concepts, terminology, metadata, ontologies and technical data structures to improve discoverability, interoperability and AI readiness
- Identify gaps between current Data Management practices and future AI and advanced analytics requirements
- Translate strategic objectives and frameworks into practical implementation across business and IT
- Facilitate collaboration and alignment between business, IT, architecture, data and AI teams
- Drive knowledge sharing, coaching and capability development for sustainable Data Management practices
- Challenge traditional approaches, simplify complex topics and drive meaningful improvements across business and IT
- Support business areas in adopting new frameworks, standards, roles and responsibilities
Requirements
What you’ll need- 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)
- 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
- Experience developing and governing enterprise data models, information models, conceptual models, business glossaries, taxonomies or ontologies
- Expertise in semantic modelling and context layers
- Understanding of AI-ready data requirements and AI/advanced analytics Data Management evolution
- 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
- Excellent stakeholder management, facilitation, coaching and communication skills
- Senior, analytical and pragmatic, with a transformation mindset
- Hands-on, proactive and delivery-oriented, with strong ownership and accountability
- Comfortable challenging traditional approaches and introducing new ways of working
- Swedish, advanced degree or professional certifications are meriting, not required
- Must undergo a background check and provide a personal identity number if selected
Benefits
Comp & perks- Consultant team environment focused on people, engagement, collaboration and development
- Flat organization with short decision paths
- Strong sense of community
- Opportunity to shape your own development