2 of 2 Remote Data Governance Jobs in Surrey

Data Analytics Lead | Retail & Consumer Brands | Hybrid - London | £80k-£90k + Benefits/Progression Zachary Daniels are delighted to be working with a growing portfolio of UK retail and lifestyle brands to recruit an experienced AI, Data & Analytics Lead. This is a pivotal opportunity to take ownership of data strategy, reporting, and AI adoption across a multi … brand group. As the AI, Data & Analytics Lead, you'll spearhead the consolidation of multiple reporting suites, databases, and middleware platforms, shaping the roadmap and embedding a data-driven culture across the business. From integrating ERP and ecommerce systems, to building reliable dashboards and exploring the adoption of AI tools, this is a high-impact role at the … centre of transformation. Benefits You'll Enjoy: · Competitive salary up to £90,000 DOE· High visibility, reporting directly into IT leadership· Autonomy to shape the group's AI and data strategy· Supportive, fast-paced retail culture with real career growth· Hybrid working model (2-3 days in office) Role Responsibilities: · Develop and deliver the group-wide data and More ❯

way the industry operates and putting customers at the heart of everything we do. Having completed our recent multi-year digital transformation, we’re now leveraging advanced technology and data-driven insights alongside exceptional service, to deliver personalised experiences that meet our customers ever-changing needs today and in the future. Job Description We currently have a phenomenal opportunity … who shares our vision to fix insurance for good. What you’ll do: Collaborate with business partners to identify use-cases where GenAI can provide measurable benefits. Support the data science and AI team in deploying scalable AI applications across the enterprise. Work with a multi-functional team (DevOps, data engineers, developers, testers, Infosec) to productionize AI services … benefit analysis. Deliver projects from scoping and R&D to production deployment and benefit measurement. Follow and contribute to standards for code quality, R&D, and model development. Engineer data for optimal AI application performance. Advise peers and senior management on business and customer impact. Write production-grade Python code, leveraging CI/CD, Databricks, and ensuring appropriate test More ❯