2 of 2 Permanent Data Architecture Jobs in Coventry

I am supporting an organisation within the not-for-profit sector find a Head of Data. The role needs someone with significant leadership experience within a Data function. The person will be responsible for developing and executing a data strategy that drives business growth, in addition they will also be responsible for the leadership and governance of supplier … and contract management for the data function. There are 4 teams this person will be leading: Data Business Partners - looking after data reporting, Stakeholder engagement & gatekeeper for the DevOps Data Management - responsible for data analytics, data modelling, data governance, data quality & data architecture There will also be 2 sprint teams … to look after the existing tech stack and move to new tech, the second team to deal with new demand. The ideal person will have: Strong technical proficiency in data engineering, data architecture, and analytics, with expertise in SQL, Python, and cloud-based technologies (e.g., Azure). 8-10 years' experience leading data teams Strong Experience More ❯

Do you have a passion for turning raw data into meaningful insight? Are you an experienced data professional who thrives on building scalable models that drive real business impact? At Stonewater, were embarking on a major transformation in how we manage, use, and think about data. As our new Data Model l er , youll take a lead … role in this journey , designing, implementing, and maintaining the data models that underpin our strategic decision-making and day-to-day performance. Youll not only bring technical expertise in data architecture and modelling , but you wi ll also help drive a cultural shift across the business, embedding data and insight at the heart of everything we … do. What youll bring A Degree in Computer Science, Information Systems, or related field. Proven experience as a Data Modeller or in a similar role. Excellent analytical and problem-solving abilities. Proficiency in conceptual, logical, and physical data modelling techniques, including normalization and denormalization. Clear communication for complex data challenges to non-technical stakeholders. Strong knowledge of More ❯