Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Enterprise Data Architect

Intact Insurance (previously RSA)
City of London
3 weeks ago
Create job alert
Introduction

At RSA, we believe insurance is about people, not things. We provide our inspiring colleagues the support and opportunity to grow together, shape the future, and win as a team. We are going through a transformation journey, providing our people with opportunity to be integral to improving our service and delivering better products to brokers and customers. We are a proud member of the Intact family, we feel part of something bigger, with a presence in North America, the UK and Europe.


We have a bold ambition to become the best Commercial Lines business in the UK, demonstrated by our recent acquisition of NIG and Farmweb, allowing us to scale by leveraging our combined financial strength and importantly ensure our people feel the benefits of our joint capabilities.


We are currently recruiting for an Enterprise Data Architect to join our established and experienced Chief Information Office team here at RSA on a hybrid basis.


Your Role

RSA is undergoing a bold transformation to become the UK’s leading commercial lines insurer, and data is at the heart of this ambition. We are implementing a demanding enterprise-wide data strategy that requires leadership, expertise and commitment to excellence. This role is pivotal in shaping and delivering a connected, managed enterprise data architecture that enables the vision for a winning data-driven business.


As Enterprise Data Architect, you will play a key role in designing and evolving the enterprise data blueprint, ensuring it aligns with business goals and future capabilities. You will work closely with the Head of Data Strategy & Data Architecture and act yourself as a thought leader - influencing the direction of data architecture across the organization and contributing to the long-term success of RSA’s data transformation.


This role combines strategic outlook with hands-on ownership. You will lead data impact assessments, update architectural blueprints, be responsible for subject areas in the Enterprise Data Model, and provide expert guidance to projects and initiatives across the company. Collaboration will be central - with fellow architects, the Chief Data Office, a wide range of business and technical stakeholders, and international colleagues across the Intact family - to ensure alignment, buy-in and delivery of cohesive data solutions.


About You

In the role, you will have the following responsibilities:



  • Assess enterprise data requirements and translate them into actionable data guidance.
  • Lead data architecture engagement across delivery portfolios, driving data planning and high-level design.
  • Define and apply data methodologies, patterns and standards for key capabilities such as data modelling, master and reference data management, data integration and the development of a cloud data platform
  • Partner with the Chief Data Office to enable a connected data capability end to end.
  • Lead and inspire teams, formally or informally, providing vision, structure and support.
  • Mentor colleagues in best practices and champion the evolving data culture of the company.

We are also looking for the following skills:



  • Stakeholder Engagement: Comfortable navigating diverse perspectives and challenging conversations, with professionalism, respect and composure.
  • Enterprise Data Leadership: Demonstrated hands-on experience in enterprise data architecture and data management, with solid understanding of data protection, software design and solution delivery.
  • Team Leadership: Ability to lead teams toward impactful outcomes and shared success, with experience in managing resourcing, supporting team processes and scaling capacity through staff augmentation.

Technical Skills -

  • Data Modelling: Hands-on experience with data modelling tools e.g. Erwin is required
  • Data Cataloguing: Experience with an enterprise data catalog, MS Purview is preferred
  • Cloud & Analytics Stack: Working knowledge of the Microsoft stack; Azure cloud, Databricks, Power BI; Azure ML and AI trends.
  • Architecture Management: Experience with architecture asset management processes and tools.

What We Offer You

At RSA we put our people first. We have adopted hybrid working as standard, to give you a better work/life balance and an excellent flexible working mindset. That is on top of a comprehensive range of benefits, including pension contributions of up to 11% looking after you now, and in the future.


We will give you countless opportunities to continuously develop, alongside a diverse and passionate community of experts, the best the industry has to offer. You will be empowered to be your best self, do your best work, and make a meaningful impact. Our employee promise allows you to shape the future, win as a team, and grow with us.


About Us

We celebrate individuality and it is important to us that we have a culture where our people feel respected and valued for who they are. We pride ourselves on being accessible and encourage inclusive environments where our people can always give and show the very best of themselves.


We understand that home life is a priority and are happy to consider reduced hours or job shares.


If you think you would be a great fit for us, but do not meet all the requirements of the role, please contact us as we would love to discuss how RSA could be the next step in your career journey.


As a Disability Confident employer, we will ensure that a fair and proportionate number of disabled applicants that meet the minimum criteria for this position will be offered an interview.


If you wish to be considered under the scheme then please answer yes to the question Do you wish to be considered under the Disability Confident Scheme? in RSAs application form


Please let us know if there are any changes we could make to the application process to make it easier and more comfortable for you. Contact our recruitment team so we can work with you to support you throughout your application.


#J-18808-Ljbffr

Related Jobs

View all jobs

Enterprise Data Architect

Enterprise Data Architect Azure / Snowflake

Enterprise Data Architect

Enterprise Data Architect - FMCG, Azure, Databricks

Enterprise Data Architect - FMCG, Azure, Databricks

Enterprise Data Architect

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Data Science Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.