At a Glance
- Tasks: Shape and deliver innovative data solutions for insurance clients while leading transformation initiatives.
- Company: WTW, an inclusive employer committed to diversity and innovation.
- Benefits: 25 days annual leave, private healthcare, pension scheme, and hybrid working options.
- Other info: Opportunity for professional growth with global client engagements and a supportive work environment.
- Why this job: Join a dynamic team and make a real impact in the insurance technology sector.
- Qualifications: Experience in data architecture and strong understanding of insurance domains required.
The predicted salary is between 70000 - 90000 £ per year.
We are seeking a capable Consulting Data Architect to join our Insurance Technology Consulting practice and play a pivotal role in shaping, selling, and delivering data-led consulting engagements for insurance clients.
Location: London, United Kingdom (Hybrid)
Scope: UK-Based Role with Global Client & Delivery Remit
Reporting To: Head of Architecture Advisory, Insurance Technology Consulting
This role sits at the intersection of insurance consulting, data architecture and business development, requiring an individual who can influence propositions, engage credibly with senior client stakeholders, and lead the design and implementation of modern data solutions. The successful candidate will help insurers unlock the value of their data across the insurance value chain, supporting transformation initiatives spanning Underwriting, Claims, Pricing, Reserving, Capital Modelling, Risk & Finance Operations.
This is an ideal opportunity for:
- A senior Data Architect who wants greater exposure to proposition development, client engagement, and pre-sales activities while retaining a strong technical foundation.
- A senior Data Consulting professional who enjoys working at the intersection of business and technology and wants to deepen their focus within the insurance sector.
Key Responsibilities
- Shape Go to Market Propositions
- Contribute to evolution of our Insurance Technology Consulting propositions by embedding modern data, analytics & AI capabilities into market-facing solutions.
- Collaborate with Insurance and Technology Consulting leaders to develop differentiated data-led propositions.
- Apply emerging data capabilities to strengthen transformation outcomes across underwriting, claims, actuarial, finance, and risk functions.
- Contribute thought leadership and establish best practices for modern data platforms and operating models.
- Sell Consulting Engagements
- Support pre-sales activities by structuring compelling, commercially attractive, and pragmatic data solutions for insurance clients.
- Partner with clients and consulting teams to understand business challenges and define pragmatic data-centric solution approaches.
- Demonstrate knowledge of insurance processes and apply modern data capabilities to address business needs.
- Develop proposals, presentations, and solution narratives that clearly articulate business value and data transformation outcomes.
- Deliver Data Consulting Projects
- Lead the design and oversee implementation of modern data capabilities that deliver measurable business results for insurance clients.
- Define scalable target-state architectures, insurance data models, governance frameworks, and integration approaches aligned to business and technology objectives.
- Provide data architecture leadership across complex transformation programmes and guide engineering teams through successful implementation.
- Ensure solutions meet enterprise requirements for security, resilience, scalability, compliance, and operational excellence.
Qualifications
What you’ll bring
- Leadership & Commercial Acumen
- Proven experience leading the architecture and delivery of enterprise-scale data transformation programmes, translating business strategy into scalable, practical, and measurable outcomes.
- Demonstrated operating across the full lifecycle of proposition development, pre-sales, solution shaping, architecture leadership, and programme delivery within consulting, insurance technology, or transformation environments.
- Ability to engage and influence senior business, technology, and executive stakeholders, building trusted relationships and communicating complex concepts in terms of business value, outcomes, and return on investment.
- Strong commercial and operational awareness, balancing strategic ambition, implementation complexity, delivery risk, and value realisation to ensure successful programme outcomes.
- Proven ability to lead multidisciplinary teams and architecture decisions across complex transformation initiatives, applying modern data capabilities to solve insurance business challenges and deliver tangible value across underwriting, claims, actuarial, finance, and risk functions.
- Insurance Domain Knowledge
- Strong understanding of one or more of the following insurance domains: Underwriting, Claims, Pricing and Rating, Actuarial and Reserving, Capital Modelling, Finance and Regulatory Reporting.
- Candidates must be able to demonstrate how modern data platforms, governance, analytics, and AI capabilities can support decision-making and operational improvement within these domains.
- Data & Technology Expertise
- Data Infrastructure & Platform Architecture – Strong understanding of modern cloud-native data platforms; including data lakes, Lakehouse, data warehouses, integration patterns, and API-led architectures. Experience designing scalable and secure enterprise data platforms using technologies such as Microsoft Fabric, Azure Synapse Analytics, Azure Data Factory, Azure Data Lake, Databricks, and Snowflake.
- Data Management, Governance & Controls – Experience establishing data governance frameworks, operating models, metadata management, lineage, cataloguing, data quality, and master data management capabilities. Familiarity with governance and compliance tooling such as Microsoft Purview, Profisee, Informatica and Collibra.
- Data Modelling & Information Architecture – Strong knowledge of enterprise data modelling, information architecture, and data design principles, with the ability to align logical and physical data structures to business, operational, and regulatory requirements. Proficient in SQL and data modelling tools.
- Analytics & Business Intelligence – Experience enabling reporting, analytics, and decision-support capabilities that drive business outcomes across insurance functions. Ability to design architectures that support self-service analytics, management information, and performance reporting using platforms such as Power BI, Microsoft Fabric, Databricks, and Snowflake.
- AI & Advanced Data Capabilities – Understanding of emerging Artificial Intelligence & ML Ops platforms. Experience designing architectures that enable trusted, governed, and scalable AI adoption, underpinned by strong data foundations using platforms such as Azure AI Foundry, Databricks, Snowflake, AWS Bedrock, GCP Vertex etc.
What we offer
Enjoy a benefits package designed to help you thrive, both professionally and personally. You'll receive 25 days of annual leave plus an extra WTW day to relax and recharge. Our comprehensive health and wellbeing offering includes private healthcare, life insurance, group income protection, and regular health assessments, all giving you peace of mind. Secure your future with our defined contribution pension scheme, featuring matched contributions up to 10% from the company.
We support your growth and balance with hybrid working options, access to an employee assistance programme, and a fully paid volunteer day to make a difference in your community. On top of these, you can opt into a variety of additional perks including an electric vehicle car scheme, share scheme, cycle-to-work programme, dental and optical cover, critical illness protection, and much more. Start making the most of your career and wellbeing with a range of benefits tailored for you.
Equal Opportunity Employer
We’re committed to equal employment opportunity and provide application, interview and workplace adjustments and accommodations to all applicants. If you foresee any barriers, from the application process through to joining WTW, please email candidatehelpdesk@wtwco.com
Data Architect employer: WTW
WTW is an exceptional employer that fosters a dynamic work culture, offering a hybrid work model that promotes flexibility and work-life balance. Employees benefit from comprehensive health insurance and have ample opportunities for professional growth within the M&A team, making it an ideal environment for those looking to thrive in a collaborative and innovative setting.
StudySmarter Expert Advice🤫
We think this is how you could land Data Architect
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Data Architect
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at WTW, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at WTW. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at WTW
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at WTW!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
