AI Strategy & Data Transformation Lead (Hybrid UK)

rmg digital; England; Hybrid; GBP 68,000 - 92,000; Full time

Job summary

Financial Services Organisation is seeking a Data and AI Lead to shape and govern the enterprise-wide AI strategy. The role sits at the intersection of technology, data and business, turning AI capabilities into practical, scalable solutions that improve decision-making, efficiency, and customer outcomes.

You will lead governance, architecture decisions and cross-functional collaboration with senior stakeholders to deliver measurable business value and sustainable internal AI capability.

Qualifications

• Proven track record leading AI strategy and data transformation in large enterprises.
• Experience delivering scalable AI/ML solutions and governance in regulated environments.
• Strong ability to translate AI concepts into business decisions and roadmaps.

Responsibilities

• Define and execute enterprise AI strategy and transformation roadmap.
• Lead development of generative AI, ML, and intelligent automation capabilities.
• Establish AI governance, ethics, and controls for regulated contexts.
• Guide data platforms, data engineering, cloud infrastructure, and AI solutions.
• Collaborate with senior leaders to identify opportunities and drive adoption.
• Translate AI concepts into business priorities and investment roadmaps.
• Define KPIs and maturity measures for AI adoption and ROI.
• Build reusable AI delivery patterns and capabilities.

Skills

AI strategy

Data transformation

Enterprise architecture

Cloud platform experience

Governance & controls

Stakeholder management

KPIs & ROI focus

Education

Degree in Computer Science / Data Science / Mathematics / Statistics or equivalent

Tools

AWS

Azure

GCP

Job description

Financial Services Organisation is seeking a Data and AI Lead to shape and govern the enterprise-wide AI strategy. The role sits at the intersection of technology, data and business, turning AI capabilities into practical, scalable solutions that improve decision-making, efficiency, and customer outcomes.

You will lead governance, architecture decisions and cross-functional collaboration with senior stakeholders to deliver measurable business value and sustainable internal AI capability.