About the role As the Analytics Engineering Manager in the cyber data team, you will play a crucial role in the development, management, and optimisation of security data products. You will lead technical decisions and be responsible for a team of analytics engineers to ensure the delivery of high-quality data products needed for security teams operations, analytics, machine learning and Gen AI applications. The Analytics Engineering team plays a direct role in the success of the Cyber Data Intelligence team and is a key driver in promoting a data-centric culture within the security function. You will also help shape how AI and conversational analytics are used to make security data more accessible, enabling users to explore data, generate insights and answer questions using natural language rather than relying solely on traditional SQL, reports and dashboards. You will be responsible for Following our Business Code of Conduct and always acting with integrity and due diligence and have these specific risk responsibilities: Data Transformation and Modelling: Transforming raw data into various data models by cleaning, normalising, standardising, filtering, aggregating, and formatting the data adhering to Open Cybersecurity Schema Framework standards. Data Analysis: Support a variety of data analysis, involving the exploration and analysis of source, trusted, and curated security data to identify patterns, trends, and insights in collaboration with security analysts. Data Quality and Documentations: Maintaining the data quality across the security lake (silver, gold and reporting layers) by implementing various validation and quality measures. Collaborate with source data owners, security analysts, and engineers to manage the data catalog, lineage, data dictionary, and data transformation processes. AI-enabled and Conversational Analytics: Enable security teams to interact with and analyse data using natural language and AI, reducing the reliance on writing SQL or building traditional reports and to support data exploration, insight generation, summarisation and storytelling. AI-ready Data Products: Ensure data products, semantic models and metadata are designed to support AI and GenAI use cases, with appropriate governance, access controls, quality and trusted context to enable reliable AI-driven analytics. Contributing to and supporting the ongoing recruitment and talent development process for cyber data team at Tesco Providing reporting and insight to key stakeholders, including the cyber security leadership team The management of service providers and teams I work with inside and outside of Tesco Key people and teams I work within and outside of Tesco: People, budgets, and other resources I am accountable for in my job: Members of the cyber data platform team (Heads, Managers, Product Managers, Data Platform Engineers, Analytics Engineers, Machine Learning Engineers and Software Engineers) Members of the broader security team (Heads, Product Managers, Security Managers, Security Engineers, Security Testers, Security Analysts and Risk
Analytics Engineering Manager - Cyber Data Intelligence Platform employer: Tesco Technology
At Tesco Technology, we pride ourselves on being an excellent employer that fosters a collaborative and innovative work culture. Our commitment to employee growth is evident through tailored development programmes and opportunities to lead impactful projects in a dynamic environment. Located at the heart of our operations, this role offers unique advantages such as access to cutting-edge technology and the chance to shape pricing strategies that drive real business value.
