Data Partner

At Ayvens, progress starts with you. Our ambitions to shape the future of sustainable mobility are powered by our talent. Join us, and get better with every move. The Digital & IT division supports the Ayvens business by providing effective and efficient technology capabilities that allow us to operate in a flexible, secure and sustainable way. We work with the business to understand the needs of our employees, customers and wider stakeholders to ensure we meet their current needs and enable their strategic objectives.

The Digial & IT division is responsible for providing the organisation with the appropriate capabilities relating to Architecture, Analysis, Service Delivery, Infrastructure, Data, Reporting, Engineering and Information Security.

• Act as the subject matter expert for data within assigned business domains, providing guidance and support to stakeholders, project teams, analysts, and engineers.
• Define and maintain enterprise and domain-level data models, ensuring consistency, accuracy, scalability, and alignment with business requirements.
• Assess and review technical requirements and changes across business functions & projects. Demand management alignment with Architecture, Digital departments and the Data Delivery Team Leader to ensure that new proposed initiatives follow rigorous and effective evaluation and shaping. Oversee the delivery of technical solutions by being the lead in relevant project teams.
• Liaise with, educate, and positively influence stakeholders on the implementation of good data and reporting practices including supporting the adoption and maintenance of fully accountable data stewards throughout the business.
• Work closely with the Architecture team to create artefacts needed of the data architect and support the business areas under your remit to create and maintain lineage documentation, business definitions and other key data artefacts for existing and new data feeds and stores and reports.
• Work closely with Data Management team to ensure continuous improvement on data completeness and accuracy can be incorporated to deliverables.
• Conduct exploratory and investigative analysis on new and existing data sources.
• Provide cross project coordination regarding data integration issues and define rules for consolidation and transformation.
• Ensure the capture, consolidation and dissemination of knowledge related to improving data and reporting practices across the team.

Lead by example, maintain expert knowledge of business processes and how they are supported by data and reporting and associated data models and tools to offer subject matter expert guidance and technical direction.

Act as a change agent to improve the definition, use and capability of data and information across the UK business. Engage and inspire employees at a individual/team and functional level for the Ayvens future roadmap. Be courageous in the activation of change, be that minor or organisational. Implement effective plans, including clear communication, vision, and stakeholder engagement to energise the team and the wider organisation in achieving business goals.

Collaborate effectively with other teams, departments, divisions and entities where required to drive business success and people engagement. Be a leader and focus energy and talent on collective success. Mastery in providing clear, concise and relevant advice and summarisation of projects.

Keen interest in understanding new technologies and their business applications. Stay up to date with industry and technical trends, best practice, and regulatory requirements to drive business benefit.

Competently manages cross-team technical dependencies demonstrating appropriate levels of autonomy in decision making and can progress despite missing information.

Champions company values and introduces and implements new ideas to foster wider team cohesion and a positive working environment.

• Experience with enterprise data platforms, preferably SAPBW and at least 3+ years on Azure with Databricks and PowerBI
• Advanced knowledge of enterprise data architecture, data warehousing principles, and data modelling methodologies including Kimball and Data Vault and designing the business semantic layer.
• Strong understanding of data integration architectures, ETL/ELT processes, APIs, event-driven integrations, and enterprise data…