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Asset Alliance Group - Head Of Data & Analytics

Job in Glasgow, Glasgow City Area, G1, Scotland, UK
Listing for: Arbuthnot Latham
Full Time position
Listed on 2026-10-06
Job specializations:
  • IT/Tech
    Data Engineering, Data Science Manager, Data Analyst
Salary/Wage Range or Industry Benchmark: 80000 - 120000 GBP Yearly GBP 80000.00 120000.00 YEAR
Job Description & How to Apply Below

Asset Alliance Group - Head Of Data & Analytics

Asset Alliance Group is part of the Arbuthnot Latham Banking Group. We serve the commercial vehicle, bus, coach, and general asset finance sectors with tailored award-winning lending, contract hire, rental and finance packages. We are a full-service finance and leasing business.

Job Purpose

  • The Head of Data & Analytics will lead data initiatives with a goal to leverage data-driven insights to enhance decision-making, drive innovation, and optimize operational efficiency.
  • Data is key to our adoption of agentic AI and predictive analytics and the role will lead solutions to provide a platform for automation and data driven insights.
  • The role will lead a team of multi-disciplined specialists, where focus will be on developing, designing, implementing and maintaining new and existing business focused solutions and data analytics.
  • To place the interests of customers at the centre of all activities, act in a way that is consistent with achieving good outcomes for consumers and to comply with the FCA and PRA's Conduct Rules.
Key Responsibilities
  • Define the strategy and vision, including the road‑map of future enhancements and growth opportunities for the data strategy.
  • Uphold data integrity and availability to provide a reliable data platform for use by key consumers such as agents and customers. Seek to improve data quality through enrichment and governance.
  • Responsible for designing, developing, and managing data engineering solutions, with a primary focus on Azure-based technologies.
  • Establish and maintain scalable and efficient data pipelines and integration processes, ensuring efficient and reliable data ingestion, transformation and storage.
  • Responsible for leading the data strategies in designing, developing, and implementing data solutions using Azure cloud and Salesforce Data Cloud technologies.
  • Collaborate with external teams and business stakeholders to understand data requirements, identify opportunities for data-driven insights, and develop appropriate data models.
  • Develop and enforce data governance policies, ensuring data quality, integrity, and security throughout the data lifecycle.
  • Drive the adoption of best practices and industry standards for data engineering, including data architecture, ETL processes, and data warehousing.
  • Manage and optimise Azure‑based infrastructure and services, ensuring high availability, scalability, and cost efficiency.
  • Keep abreast of industry technical best practices in data engineering, data analytics, Salesforce and Azure, ensuring innovative development of systems to meet organisational immediate and future needs.
  • Collaborate with IT teams to ensure seamless integration of data solutions with existing systems and applications.
  • Work closely with other Senior Leads, IT and Change Leaders to ensure that support is obtained from these areas to deliver the agreed outcomes.
  • Financial responsibility for maintaining and optmising costs within agreed Investment and Operational budgets.
  • Lead the planning of Platform release plans and set the expectation for delivery of new functionalities.
  • Provide technical leadership, guidance, and mentorship to the data engineering and analytics team, fostering a culture of continuous learning and growth.
  • Monitor and analyse data performance metrics, identify areas for improvement, and implement appropriate optimisations.
  • Assure Platform performance and provide leadership and coordination in the resolution of platform defects, outages and incidents.
  • Providing vision and direction to the Platform development team and stakeholders throughout projects and creating customer focussed outcomes.
  • Planning and managing the pipeline of activity for the team (both engineering, analytics, governance…
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