We are seeking an experienced Data Governance leader who can help us to build a robust data governance operating model, develop high-quality standards and policies, craft training programs, and collaborate effectively with privacy, security, product, and technology leaders to implement and manage the Trainline data governance strategy.

The mission of this role is to lead Data Governance at Trainline, taking ownership of the data governance operating model and framework, continuously improving policies and standards, and engaging the organization in a federated model to ensure active participation in data ownership and management.

We'd love to hear from you if you have experience with...🔍

• Data Governance Operating Model Design: Designing a modern, pragmatic data governance model appropriate to the scale and risk profile of an organisation. 
• Data Governance Framework Design: Expertise in writing practical standards and policies that will maximise impact and minimise overheads.   
• Leading and Executing Data Governance Operations: Proven ability to lead data governance in a matrix organisation, managing across functional lines to engage and mobilise resources within a federated operating model. 
• Governance project focus: Expertise in managing complex projects involving the data governance lifecycle including areas like data retention.  
• Data Governance Documentation and Data Mapping: Facilitating the data mapping within data domains, ensuring that critical data elements, data standards, systems, processes, definitions, business rules and lineage are captured accurately and reviewed regularly. 
• Workshop Facilitation: Experienced in setting up and leading data governance workshops to onboard data domain team members and initiate data mapping activites.  
• Leading Data Governance Meetings: Demonstrate disciplined and organised approach to running meetings needed for the operating model, ensuring there are clear agendas, actions and minutes. 
• Writing Training Materials: Creating simple and memorable materials to support training in the operating model, policies and standards.  
• Data Privacy: Solid understanding of privacy law and underlying principles as they apply to data management. 
• Collaboration with Privacy and Security SMEs: Work closely with Privacy and Security SMEs to align the Data Governance Framework and Operating Model, sharing resources and knowledge and reducing duplication of governance activities. 
• Technical and Data Literacy: Knowledge of data practices both in operational and analytical realms and experience of leading, modern data governance platforms and tools. 
• Planning and Delivery: Experience in creating implementation plans and managing delivery for Data Governance. 
• Risk Management: Managing the data goverance risk register and monitoring risk level to ensure that Trainline operates within risk appetite. 
• Guiding Data Governance Improvement Work: Helping technology teams to purchase or build systems that automate data governance processes.