7 дней назад
Analytics Engineering Manager (AI/GenAI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Analytics Engineering Manager (AI/GenAI): Building and optimising governed security data products, semantic models, and analytics capabilities for cyber teams with an accent on data transformation, quality, and AI-enabled conversational analytics. Focus on leading analytics engineers, designing AI-ready data products, and enabling reliable insights from large-scale security datasets.
Location: Welwyn Garden City, United Kingdom; hybrid. Spend 60% of the week collaborating from office locations or local sites and the remainder remotely.
Company
is a large retail and technology company operating supermarket, mobile network, and digital technology businesses.
What you will do
- Lead analytics engineers and make technical decisions for the cyber data platform.
- Transform, model, and standardise security data according to Open Cybersecurity Schema Framework standards.
- Analyse source, trusted, and curated security data to identify patterns, trends, and outliers with security analysts.
- Maintain data quality across security lake layers and manage catalogues, lineage, dictionaries, and transformation processes.
- Build AI-enabled and conversational analytics capabilities that support natural-language data exploration, insight generation, summarisation, and storytelling.
- Represent cyber data products to senior stakeholders, support recruitment and talent development, and manage budgets and service providers.
Requirements
- Experience as an Engineering or BI Manager leading teams and managing data projects at scale.
- Strong data warehousing, data modelling, and data architecture experience.
- Highly proficient SQL skills and solid experience with Python.
- Experience with cloud platforms such as Azure or GCP, big data technologies such as Spark, and ETL/ELT tools such as dbt.
- Experience with AI or GenAI for analytics, including prompt engineering, model evaluation, and tools such as Databricks Genie, AI Agents, OpenAI, or Claude.
- Knowledge of cybersecurity principles, version control, CI/CD pipelines, data governance, and trusted AI-ready data products.
Culture & Benefits
- Hybrid working with flexible working discussions available throughout the application process.
- Annual bonus scheme of up to 20% of base salary.
- 25 days of holiday plus a personal day and bank holidays.
- Private medical insurance and a 24/7 virtual GP service.
- Paid maternity, adoption, and paternity leave, plus an Employee Assistance Programme and mental wellbeing support.
- Inclusive and accessible recruitment process supported by ’s Disability Confident Leader accreditation.
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