Job Description

VP Digital Insights and Artificial Intelligence - UK

We are seeking a highly capable and strategic VP Digital Insights and Artificial Intelligence to lead on own the strategy, implementation, and governance of data, analytics and AI platform architecture across the organization. This newly created role is responsible for shaping the company's approach to information management, enterprise data management, which includes data governance, data quality and data management; analytics, predictive analytics, and AI -- while also ensuring the design, delivery, and continuous improvement of the underlying technology platforms that enable these capabilities.


This leader will partner with business stakeholders, IT, and data science teams to identify high-value opportunities, deliver innovative and responsible AI solutions, and build a robust, scalable architecture that supports insight generation, process optimization, and automation.

Location:

UK

Reports to:

Directly reporting to the CIO

Your Role in our Future

The VP of Digital Insights and AI is entrusted with the following tasks:

Leadership

Define and lead the enterprise-wide Digital Insights & AI Platform Strategy, ensuring alignment with business priorities and long-term technology roadmaps Establish governance frameworks for data, analytics, and AI to ensure quality, security, and ethical use Drive adoption of AI, automation, and analytics solutions across business functions to maximize ROI and efficiency

Information and Data Management

Lead the development and maintenance of information management and enterprise data management frameworks to ensure data quality, consistency, and availability Oversee data integration, taxonomy, metadata management, and data stewardship initiatives Ensure proper architecture and tooling for data pipelines, data lakes, and enterprise reporting platforms IT Platform Architecture & Delivery

Platform Architecture and Delivery

Own the design, delivery, and evolution of enterprise technology platforms that enable data, analytics, and AI Define the technical architecture (data, application, integration, and cloud architecture) to support business needs, scalability, and resilience Partner with IT delivery teams to ensure timely implementation of platform enhancements and upgrades Evaluate and select technology solutions (BI tools, ML platforms, automation frameworks) that align with the enterprise architecture and future-proof the business.

Analytics & Insights

Build and partner on advanced analytics and business intelligence capabilities to deliver actionable insights Develop predictive and prescriptive analytics use cases that inform strategic decisions and improve operational outcomes Champion self-service analytics and empower business teams to access and use data confidently

Responsible Artificial Intelligence & Automation

Identify, evaluate, and deliver AI initiatives including: Conversational AI (e.g., chatbots, virtual assistants) Intelligent Automation (RPA + AI-driven decisioning) Machine Learning and Predictive Models for forecasting and optimization Collaborate with product, operations, and technology teams to embed AI into products, services, and workflows Drive process optimization initiatives using AI insights to reduce friction and improve efficiency

Collaboration & Stakeholder Engagement

Act as a trusted advisor to business and IT stakeholders, identifying opportunities where AI and analytics can create business value Build strong relationships with internal and external partners (vendors, technology providers, consultants) to accelerate capability building Lead change management efforts to drive adoption of digital intelligence solutions and foster a data-driven culture

Team Leadership & Capability Building

Support the building of high-performing team of data analysts, data scientists, solution architects, and AI/automation specialists Develop and deliver education and training programs on data literacy, analytics, and AI best practices * Stay abreast of emerging trends and technologies in AI, machine learning, cloud platforms, and analytics to inform strategic decisions