Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead the strategy and delivery of data and AI platforms for a dynamic organisation.
- Company: Innovative company in the P&C insurance sector, focused on data-driven solutions.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Join a high-performing team with a focus on innovation and excellence.
- Why this job: Shape the future of data and AI while making impactful decisions in a collaborative environment.
- Qualifications: Senior leadership experience in data platforms and strong knowledge of analytics and AI architectures.
The predicted salary is between 80000 - 100000 £ per year.
Location - UK (London)
Duration - C2H
Role Purpose: The Head of Data & AI Platforms & Engineering is accountable for the strategy, delivery, and day-to-day operation of the organisation’s data and AI platforms. The role ensures that data platforms are secure, reliable, scalable, and fit for both business intelligence and advanced analytics and AI use cases. This role owns both change (transformation and enhancement) and run (BAU operations) across data platforms, leading internal and vendor teams to deliver high-quality data services.
Key Responsibilities
- Strategy & Roadmap
- Own the roadmap for data and AI platform transformation, including data hub, analytics and consumption platforms.
- Introduce new platform capabilities and integrate strategic data sources in line with enterprise priorities.
- Define and own data platform architecture, design patterns, and engineering standards.
- Lead the implementation of data architecture and data engineering frameworks across ingestion, data layers, semantic layers, and consumption.
- Own policies and standards for data platforms, including Databricks, integration, data management, and access controls.
- Ensure platforms are designed for performance, scalability, reliability, and security.
- Implement frameworks for data quality, lineage, observability, and metadata management.
- Ensure compliance with security, privacy, and regulatory requirements across all data platforms.
- Oversee remediation of data quality issues within BAU operations.
- Accountable for delivery of data platform change initiatives aligned with enterprise prioritisation and release management processes.
- Manage delivery of new components, pipelines, and platform enhancements.
- Lead and coordinate change delivery teams, including third-party vendors.
- Own the BAU operation of data and consumption platforms, ensuring availability and performance.
- Define, maintain, and report against SLAs and OLAs.
- Oversee operational monitoring, incident management, defect resolution, and performance optimisation.
- Ensure smooth user onboarding and ongoing platform support.
- Build and lead high-performing data engineering, platform, and data management teams.
- Establish in-house BAU capability across engineering, data quality, and platform operations.
- Manage vendor partners to ensure effective delivery and value for money.
Key Skills & Experience
- Senior leadership experience in data platform and data engineering roles.
- Strong knowledge of modern data platforms, analytics, and AI enablement architectures.
- Proven experience delivering large-scale data platform change and running enterprise data platforms.
- Strong understanding of data governance, data quality, security, and compliance.
- Experience managing multi-disciplinary teams and third-party suppliers.
Outcomes of the Role
- Reliable, secure, and high-performing data and AI platforms.
- Clear standards and governance across data engineering and platform services.
- Effective balance between transformation delivery and stable BAU operations.
- Data platforms that enable analytics, AI, and business decision-making at scale.
Head of Data & AI Platforms & Engineer with P&C Insurance in City of London employer: SANS Consulting Services, Inc.
Contact Detail:
SANS Consulting Services, Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Data & AI Platforms & Engineer with P&C Insurance in City of London
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the data and AI space. Attend meetups, webinars, or industry events. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to data platforms and AI. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of data governance and compliance. Be ready to discuss how you've tackled challenges in past roles. We want to see your problem-solving skills in action!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are genuinely interested in joining our team.
We think you need these skills to ace Head of Data & AI Platforms & Engineer with P&C Insurance in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Head of Data & AI Platforms. Highlight your experience with data architecture, engineering frameworks, and any leadership roles you've held. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data platforms and AI. Share specific examples of how you've led teams or delivered successful projects in the past. Let us know why you’re the perfect fit for this role!
Showcase Relevant Experience: When filling out your application, focus on your senior leadership experience in data platform roles. Mention any large-scale changes you've managed and how you ensured compliance and data quality. We love seeing concrete examples of your achievements!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss any important updates. Plus, it’s super easy to do!
How to prepare for a job interview at SANS Consulting Services, Inc.
✨Know Your Data Inside Out
Make sure you have a solid understanding of data platforms, especially those mentioned in the job description like Databricks. Brush up on your knowledge of data architecture and engineering frameworks, as well as the latest trends in AI and analytics. This will help you demonstrate your expertise and show that you're the right fit for the role.
✨Showcase Your Leadership Skills
Prepare examples of how you've successfully led teams in previous roles. Think about specific instances where you managed change initiatives or improved data governance. Being able to articulate your leadership style and how it aligns with the company's goals will set you apart from other candidates.
✨Understand Compliance and Governance
Familiarise yourself with data governance, quality, and compliance standards relevant to the insurance industry. Be ready to discuss how you've implemented frameworks for data quality and compliance in past roles. This knowledge will be crucial in demonstrating your ability to oversee operational monitoring and incident management.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in real-world scenarios. Think about challenges you've faced in managing data platforms and how you overcame them. Practising these scenarios will help you articulate your thought process and decision-making skills during the interview.