AI & Data Lead

Liverpool
3 months ago
Applications closed

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About the Role

We are seeking a highly skilled AI & Data Lead to spearhead our transformation into a truly data-driven organisation. This individual will define our AI and analytics strategy, elevate our Power BI capabilities into advanced AI-powered insights, and deliver hands-on development across data platforms, models, and solutions.

This is a hybrid role combining strategic leadership, consultancy, solution architecture, and hands-on technical execution. You will guide the business on how to maximise value from data, introduce AI opportunities, establish governance, and embed data-driven decision-making across teams.

Key Responsibilities

  • Strategic Leadership & Planning Develop and own the company’s AI, analytics, and data strategy

  • Create a roadmap for moving from traditional BI to a modern, AI-augmented data ecosystem.

  • Identify opportunities where AI, ML, and automation can drive measurable value.

  • Act as a trusted advisor to senior leaders and departments regarding data, BI, and AI.

  • Translate complex data and AI concepts into clear business language and use cases.

  • Facilitate workshops, run discovery sessions, and guide teams on AI best practices.

  • Build prototypes and production-level AI/ML solutions, such as predictive models, natural language interfaces, and automation workflows.

  • Develop robust data models, pipelines, and integrations to ensure scalable AI adoption.

  • Establish data governance standards, security controls, and compliance practices.

  • Own data quality frameworks to ensure trusted reporting and model reliability.

  • Lead end-to-end delivery of AI/data projects from ideation through deployment.

    Skills & Experience Required

  • Proven experience in a senior data/AI/analytics role (e.g., Data Lead, Analytics Lead, AI Specialist, BI Lead).

  • Strong background with Power BI, including DAX, modelling, governance, and enterprise deployments.

  • Hands-on experience building AI and machine learning solutions using modern cloud tools (Azure preferred).

  • Strong understanding of data engineering concepts (ETL/ELT, pipelines, warehousing).

  • Ability to translate business challenges into technical AI/analytics solutions.

  • Excellent stakeholder engagement and communication skills.

  • Strategic thinker capable of setting direction and driving organisational change.

    If you have experience in delivering an AI strategy and have previously helped to modernise a business. Please don’t hesitate to apply

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