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Data Management Lead
Instant Impact. Build and embed an enterprise data management framework covering data quality, metadata, lineage, master data management, reference data management and authoritative data sources .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building and implementing enterprise data management frameworks, ensuring data quality, metadata management, and lineage standards. Proven ability to lead teams, manage data products, and drive the adoption of modern data management tools.
Highest-signal resume keywords
Enterprise Data Management FrameworksData Quality ManagementMetadata ManagementTeam LeadershipStakeholder Management
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 QualityMetadataData LineageMaster Data ManagementReference Data ManagementData Product DevelopmentData Catalog ManagementData Quality RulesAutomationAI-Enabled Capabilities
Soft Skills
Stakeholder ManagementCommunication Skills
Tools & Technologies
Microsoft PurviewCollibraInformaticaCloud-Based Data Platforms
Industry Keywords
Data ManagementData GovernanceData AnalyticsData TransparencyData Efficiency
Tech Stack
Tools & technologiesCloudInformatica
About the role
Key responsibilities & impact- Build and embed an enterprise data management framework covering data quality, metadata, lineage, master data management, reference data management and authoritative data sources
- Assess, select and implement tools supporting the organisation’s developing data management capability
- Own and develop the enterprise data catalogue and business glossaries
- Establish data quality rules, controls, dashboards and remediation processes
- Define and maintain metadata and lineage standards across data pipelines, platforms and data products
- Develop master and reference data frameworks across key business domains
- Build well-defined data products with ownership, SLAs, lineage and quality controls
- Own and prioritise the data management backlog
- Partner with Data Engineering, Architecture, Product and IT teams to embed data management controls
- Lead implementation and adoption of modern data management tooling, potentially including Microsoft Purview, Collibra or Informatica
- Lead and develop a team of Data Management and Data Insight Analysts
- Identify opportunities to use automation and AI-enabled capabilities to improve data quality, transparency and efficiency
Requirements
What you’ll need- Strong experience within data management, data quality or a closely related discipline
- Proven experience designing and implementing enterprise data management frameworks and standards
- Strong knowledge of data quality, metadata, data lineage, MDM and RDM
- Experience building or managing enterprise data catalogues and business glossaries
- Experience developing data products with clear definitions, ownership, SLAs, lineage and quality rules
- Good understanding of enterprise data platforms and how they are owned and operated
- Experience selecting, implementing and driving adoption of modern data management tools
- Experience embedding data management practices within cloud-based data platforms
- Previous team leadership experience, including backlog management, prioritisation and planning
- Strong stakeholder management skills, with ability to explain complex data topics to business and technical audiences
- Understanding of how trusted, high-quality data supports analytics, reporting and responsible AI