As the Lead Enterprise Architect for Data & AI, you will be responsible for defining and driving an enterprise-wide data and information architecture strategy. Your role will ensure data platforms, governance frameworks, and information assets are fully aligned with the needs of business domains such as Commercial, Finance, Supply Chain, Product, and Regulatory. You will lead the … design of a scalable, trusted, and connected data architecture that enables AI/ML, advanced analytics, digital transformation, and regulatory compliance. This is a critical leadership role in advancing the organization’s data-driven enterprise vision. Core Responsibilities of the Enterprise Architect Role: Bridge alignment between business and IT across a federated technology environment. Build strong stakeholder relationships … grow its organizational influence. Continuously evolve the enterprise architecture practice and service portfolio. Mentor architects, product managers, and business leaders to embed architectural thinking. Principal Accountabilities: Define the enterprise data architecture vision, target state, and guiding principles, aligned with business priorities and regulatory frameworks. Lead architecture for enterprise data platforms such as Azure Synapse, Databricks, Power BI, and More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Hays
Data Architect (18-Month Fixed Term Contract) Salary: £65,000 - £72,000 per annum + benefits Location: London/Hybrid Our client is underway with an exciting Transformation Programme and is looking to recruit an experienced Data Architect. The role is critical in helping to shape their future as a data-led organisation. The Data Architect … will be instrumental in building the foundational architecture, governance and strategy needed to bring that vision to life. Key Responsibilities Include Defining and owning the enterprise and commercial data strategy aligned with the digital transformation goals Establishing data governance policies, metadata standards, datastewardship roles, and classification models Designing scalable data architecture that integrates corporate … services and operational data systems Architect data pipelines and semantic layers to support BI, advanced analytics, and future AI capabilities. Presenting data models, architecture diagrams, and governance strategies to executive and technical stakeholders Key Skills Required Demonstrable hands-on systems integration and enterprise-scale data strategy experience Expertise in data governance, data modelling, metadata More ❯
Job Description: Data Governance Lead Location: London/South East England Department: Data and Analytics/Finance Contract: Permanent Reports to: Head of Data SS002 Position Overview: We are looking for an experienced and proactive Data Governance Lead to take ownership of implementing and operationalising a company-wide data governance framework. This position plays a … central role in maintaining the integrity, quality, and accessibility of enterprise data assets, enabling informed decision-making and unlocking business value through better data practices. Key Responsibilities: Lead the rollout and continuous refinement of a holistic data governance framework, ensuring alignment with strategic business objectives and compliance obligations. Drive the development and integration of foundational elements such … as master data management (MDM), metadata standards, and data quality principles. Oversee the lifecycle of master data assets, including onboarding new entities, defining authoritative sources, and fostering standardisation across systems. Leverage tools like Informatica to ensure consistency, quality, and integration. Support the function of internal governance councils or steering groups, ensuring collaborative decision-making and structured dataMore ❯
Purpose of role: The successful candidate will play a key role in Data solution design activities on behalf of the Chief Data Office, ensuring that Data is considered as a key enabler at the very heart of any solution designs and operating models created. The Solution Partner leads engagements with, and acts as the key point of … contact for business customers both to support BAU and change initiatives on behalf of Data Solution and CDO. She/He is expected to build a close working relationship and deep understanding of the business activities, business priorities and data sets they consume and create. They will work with and support the business to adopt strategic data capabilities, comply with data policies and deliver value through Data Solutions. The ideal candidate has an up-to-date understanding of relevant Private Markets (Real Estate Equity/Private Credit) asset classes, investment products; understands asset management capabilities, data domains, data models, familiar with the vendor/service provider landscape within the industry, understands ESG More ❯
City of London, England, United Kingdom Hybrid / WFH Options
Starr Underwriting
turning down headhunters for years. Whatever your priorities – work/life balance, career progression, sustainability, volunteering – you’ll find like-minded people driving change at Howden. Position: Master & Reference Data Management Steward Howden is evolving its Master and Reference data capability to provide a wider service to the organisation, so that trusted and enriched master and reference data entities are in place, enabling effective business operations and providing richer analytical capabilities. The Group Data Management function is accountable for mastering the Group’s common critical data domains covering Party, Lloyd’s Market, Industry, Business Unit, Product and Geography utilising Howden’s strategic master data management solution, Reltio. The overall goal is to ensure the … critical data is appropriately governed through datastewardship and mastered to create a unique and enriched golden record. This enables the business to perform its critical operational processes more efficiently and provide greater insights to support new business opportunities. The job holder will also act as an SME supporting Howden’s use of external company enrichment dataMore ❯