Tesco Technology
Analytics Engineering Manager - Cyber Data Intelligence Platform
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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
- 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 Documentation: 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.
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Key Responsibilities
In addition to the above core accountabilities, you are also responsible for:
- Contributing to and supporting the ongoing recruitment and talent development process for the cyber data team at Tesco
- Providing reporting and insights to key stakeholders, including the cyber security leadership team
- The management of service providers and teams you work with inside and outside of Tesco
Key People and Teams
You will work within and outside of Tesco with the following people and teams:
- 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 & Compliance team members)
- Security Stakeholders across Tesco
- 3rd Parties/Vendors
Resources
You are accountable for the following resources:
- Line management of analytics engineers in your team
- Cyber analytics engineering budget
Representing
You will represent cyber data products to senior stakeholders.
Requirements
Skills
- Strong written, verbal, and presentation skills
- Strong analytical skills, with the ability to correlate and identify trends, patterns, and outliers within large security datasets and telemetry
- Ability to work with and evaluate AI-assisted analytics and conversational data tools
- Understanding of prompt engineering and effective use of foundation models such as OpenAI and Claude for analytics use cases
- Experience with collaborative development methods such as mob or ensemble programming
Experience
- Relevant experience as an Engineering or BI Manager, leading teams, and managing data projects at scale
- Solid experience with data warehousing principles, data modelling, and data architecture
- Highly proficient in SQL with solid experience with programming languages like Python
- Experience working with cloud platforms (e.g., Azure, GCP) and big data technologies like Spark
- Working knowledge of ETL and ELT frameworks and tools like dbt
- Experience using AI/GenAI capabilities to support analytics, data exploration, or insight generation
- Familiarity with AI platforms and tools such as Databricks Genie, AI Agents, OpenAI, or Claude, with an understanding of prompts, model evaluation
- Understanding of how to design trusted, governed, and well-documented data products that can be consumed by AI applications
- Working knowledge of Version Control and CI/CD pipelines
- Hiring, developing, and retaining cyber analytics talent
- Ability to provide clear input, guide, empower the team to achieve desired outcomes
- Developing working relationships with various teams and stakeholders at all levels of seniority to drive data-driven decisions and enable end users to make informed decisions through data and AI
- Knowledge of cybersecurity principles and practices
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Benefits
- Annual bonus scheme of up to 20% of base salary
- Holiday starting at 25 days plus a personal day (plus Bank holidays)
- Private medical insurance
- 26 weeks maternity and adoption leave (12 months service required at the qualifying date) at full pay, followed by 13 weeks of Statutory Maternity Pay or Statutory Adoption Pay, we also offer 6 weeks fully paid paternity leave
- Free 24/7 virtual GP service, Employee Assistance Programme (EAP) for you and your family, free access to a range of experts to support your mental wellbeing
About Us
At Tesco, we champion a balance that lets you thrive both in and out of work. Spend 60% of your week collaborating with colleagues at our office locations or local sites and the rest remotely. Whether you're just kicking off your career, juggling passions, or navigating big life events, we're here to support you. We always welcome a conversation about flexible working, so talk to us throughout your application about how we can support.
We're proud to be an accredited Disability Confident Leader, where everyone’s welcome. That’s why we commit to providing a fully inclusive and accessible recruitment process. If you need support with your application, click here for more information. And if you're interested in joining our team but don't tick every box, don't let that hold you back from applying.
When you join us in this role, you'll be employed by Tesco Stores Limited, the Tesco legal entity responsible for your employment.
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