About the Job you are considering:
The Senior Data Architect provides end-to-end ownership of data architecture across London Market and Commercial Insurance domains. This role shapes enterprise-scale data platforms, data products, analytics, and AI-enabled capabilities supporting underwriting, pricing, claims, reinsurance, and delegated authority. Operating with an enterprise mindset, the architect influences senior stakeholders, guides architecture governance, and ensures data solutions are scalable, governed, compliant, and future-ready.
Hybrid working:
The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend of Company offices, client sites, and your home; noting that you will be unable to work at home 100% of the time.
Your Role:
- Define and govern enterprise and solution data architecture aligned to business strategy and operating models.
- Design cloud-native data platforms using Medallion (Bronze/Silver/Gold) architecture and domain-oriented data products.
- Produce and maintain conceptual, logical, and physical data models across insurance domains.
- Provide architectural leadership across underwriting, pricing, claims, reinsurance, finance, and reporting landscapes.
- Act as a design authority within architecture review boards, presenting options and recommendations.
- Enable data products, advanced analytics, AI and ML use cases including pricing optimisation, fraud detection, and exposure management.
- Define and embed data governance, quality, master data, metadata, and lineage solutions.
- Engage senior stakeholders as a trusted advisor, identifying enterprise-wide risks, opportunities, and optimisation areas.
Your Skills:
- Extensive experience in London Market / Lloyd's insurance environments.
- Deep knowledge of syndicates, managing agents, delegated authority, reinsurance, and policy lifecycle.
- Proven experience as a Senior / Lead / Enterprise Data Architect.
- Strong expertise in cloud-native data architecture and modern data platforms.
- Experience designing data products, analytics platforms, and AI-ready architectures.
- Solid understanding of data governance, DQ, MDM, metadata, and regulatory readiness.
- Ability to translate complex technical concepts into clear business outcomes.
- Strong leadership, stakeholder influence, and enterprise-level decision-making capability.
Disability Confident Employer:
Capgemini is proud to be a Disability Confident Employer (Level 2) under the UK Government's Disability Confident scheme.
As part of our commitment to inclusive recruitment, we will offer an interview to all candidates who:
- Declare they have a disability, and
- Meet the minimum essential criteria for the role.
Please opt in during the application process.
Benefits:
- You'd be joining an accredited Great Place to work for Wellbeing in 2024. Employee wellbeing is vitally important to us as an organisation. We see a healthy and happy workforce a critical component for us to achieve our organisational ambitions.
To help support wellbeing we have trained 'Mental Health Champions' across each of our business areas, and we have invested in wellbeing apps such as Thrive and Peppy. - You will be empowered to explore, innovate, and progress. You will benefit from Capgemini's 'learning for life' mindset, meaning you will have countless training and development opportunities from thinktanks to hackathons, and access to 250,000 courses with numerous external certifications from AWS, Microsoft, Harvard ManageMentor, Cybersecurity qualifications and much more.
- You will be joining one of the World's Most Ethical Companies®, as recognised by Ethisphere® for 13 consecutive years. We live our values by making ethical business choices every day. Working ethically is at the centre of our culture at Capgemini, meaning you will be helping to create a future we can all be proud of.
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