Data Science and AI Lead

3 weeks ago

North West England, United Kingdom Dynamic Search Solutions Full time

Job Title: AI & Data Lead Location: 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.

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.

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.
If you have experience in delivering an AI strategy and have previously helped to modernise a business.

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