At a Glance
- Tasks: Lead transformative data architecture solutions in the UK Insurance sector.
- Company: Sedona Digital, a fast-growing tech services provider in Insurance and Banking.
- Benefits: Private medical insurance, training opportunities, and up to 25 days annual leave.
- Other info: Fast-paced environment with excellent career growth and learning opportunities.
- Why this job: Join a dynamic team and make a real impact with cutting-edge data and AI solutions.
- Qualifications: 10 years in data architecture, 2 years in UK insurance, and Azure expertise required.
The predicted salary is between 70000 - 90000 £ per year.
Sedona Digital is a leading provider of IT Consulting and Services, specialising in Cloud Solutions, Software Engineering, Security, and Data & AI.
We partner with enterprises to optimise their technology estates, delivering flexible engagement models ranging from augmentation to outcome-based projects and managed teams.
Accelerate your development and exposure to high-performance financial services, digital and AI solutions.
Join Sedona Digital, a fast-growing technology services provider specialising in the UK Insurance and Banking sector.
Our global client base and internal services delivery roadmap demand a wide range of capabilities.
Business architects, product owners, PMs and architects leading our projects.
Engineers, developers and QAs who love technology, have deep expertise in software, data and cloud technologies to deliver value fast, with a passion for culture and customers.
- We obsess about our customers
- We build outstanding technical solutions
- We create an awesome culture
- We accelerate learning and career
Your responsibilities will include
- Help our sales and presales solutions team to win new contracts by engaging with Insurance technology owners, data and AI lead to map business value delivery into data framework solutions.
- Define transformative data architecture engineering solutions, from project scope to backlog with our techs, PMs and POs.
- Lead customer project delivery as a data architecture, AI enablement or data engineering lead on Insurance tech solution transformations.
- Co‑own the internal and customer‑facing data framework and capabilities catalogue (and value delivery tracking) as part of our AI roadmap team, and Insurance solutions portfolio.
Activities will include
- Lead data and AI metadata project discoveries with enterprise clients in UK Insurance and Banking.
- Define data architecture and engineering patterns.
- Design proportionate data and AI governance.
- Assess data asset viability and RAG patterns.
- Collaborate with business and tech SMEs and POs.
- Support engineering teams to build data capabilities.
- Design production readiness and governance.
- Assist in change management and adoption activities
Requirements
- 10 years working as a senior data architect, consultant or engineer in regulated enterprise data environments.
- 2 years working within UK insurance sector data projects (underwriting, claims, policy, actuarial, delegations, bordereau, Lloyds syndication etc).
- 2 years working with MS Azure data technologies (Databricks on Azure, Synapse, Purview, SQL, ADF, Fabric, Python etc).
- 6 months working with AI to augment or automate business process (RAG, classification, API and Prompt management, Observability & Audit for FCA/PRA etc)
- 6 months working with sales and commercial teams, pre-contract to close new business.
- Demonstrable, proven ability to elicit, analyze, and document requirements and processes.
- Demonstrable, proven ability with applied data techniques including identification, pipelining/ETL, curation, chunking, modelling, data quality, cataloguing, lineage, package deployment.
- Hands‑on experience with Agile methodologies and active participation in Agile ceremonies (e. g., sprint planning, retrospectives, backlog grooming).
- Exceptional communication and stakeholder management skills with gravitas to lead workstreams and engage with C‑suite.
- Self‑motivated with the ability to work independently and lead BA/PO activities within a multidisciplinary team.
- Strong problem‑solving skills and attention to detail.
- Comfortable working in a fast‑paced, changing environment.
Benefits
- Private medical insurance
- Training on market trends and client needs, solutions & technologies including Microsoft Certs
- 21 days annual leave, with one day per year extra up to 25 days
- 1 day for your Birthday off
- 0.5 days Christmas Shopping off
- Competitive package
- #J-18808-Ljbffr
Consulting Data Architect - Insurance employer: Sedona Digital
Sedona Digital is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of London. With a strong emphasis on employee growth, you will have access to cutting-edge projects in AI and data solutions, alongside opportunities for professional development and advancement within a fast-growing technology services provider. Join us to be part of a team that values your expertise and encourages meaningful contributions to transformative data strategies for our clients.
StudySmarter Expert Advice🤫
We think this is how you could land Consulting Data Architect - Insurance
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Sedona Digital!
✨Show Off Your Projects
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✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Sedona Digital.
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We think you need these skills to ace Consulting Data Architect - Insurance
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 Sedona Digital, 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 Sedona Digital. 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 Sedona Digital
✨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 Sedona Digital!
✨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.
