Data Partner

About the role

Key responsibilities

• Advise stakeholders, project teams, analysts, and engineers as the data subject matter expert for assigned domains.
• Define and maintain enterprise and domain data models aligned with business requirements, consistency, accuracy, and scalability.
• Review technical requirements and changes, align demand with Architecture and Digital teams, shape initiatives, and lead relevant project delivery.
• Educate and influence stakeholders on data and reporting practices and accountable data stewardship.
• Create data architecture artefacts and maintain lineage, business definitions, and documentation for data feeds, stores, and reports.
• Work with Data Management to improve data completeness and accuracy; analyse data sources and coordinate data integration issues.
• Define consolidation and transformation rules and share knowledge that improves data and reporting practices.
• Lead change to improve data and information capability across the UK business, using communication and stakeholder engagement.
• Manage cross-team technical dependencies and make autonomous decisions while progressing despite missing information.

Skills and experience

• Experience with enterprise data platforms; SAP BW is preferred, and at least 3 years of experience with Azure, Databricks, and Power BI is specified.
• Advanced knowledge of enterprise data architecture, data warehousing, Kimball and Data Vault modelling, and business semantic layer design.
• Strong understanding of integration architectures, ETL/ELT, APIs, event-driven integrations, and enterprise data flows.
• Ability to create conceptual, logical, and physical data models, data dictionaries, and report dictionaries.
• High-level knowledge of cloud opportunities and ability to develop sustainable, robust, and secure data ecosystems.

Capabilities

• Provide expert guidance on business processes and supporting data, reporting, models, and tools.
• Lead change and engage stakeholders across individual, team, and functional levels.
• Collaborate across teams and divisions, provide concise project advice, and focus on collective success.
• Stay informed about technologies, industry trends, best practice, and regulatory requirements.
• Make autonomous cross-team technical decisions and progress work when information is incomplete.
• Support team cohesion and a positive working environment.