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- Tasks: Lead the strategy and delivery of data and AI platforms for a dynamic organisation.
- Company: Join a forward-thinking company at the forefront of data innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Be part of a collaborative team driving transformation in data services.
- Why this job: Shape the future of data and AI while making a real impact in the industry.
- Qualifications: Proven leadership in data platforms and engineering with a focus on innovation.
The predicted salary is between 80000 - 100000 £ per year.
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.
- Platform Engineering & Architecture
- 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.
- Data Governance, Quality & Compliance
- 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.
- Change & Delivery
- 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.
- Run / Business-as-Usual Operations
- 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.
- Leadership & Team Management
- 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 Slough 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 Slough
✨Tip Number 1
Network like a pro! Reach out to folks in the data and AI space, especially those who work at companies you're interested in. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio or a personal project that highlights your expertise in data platforms and AI. This gives you something tangible to discuss during interviews and makes you stand out.
✨Tip Number 3
Prepare for the interview by diving deep into the company’s data strategy. Understand their platforms and challenges, and come ready with ideas on how you can contribute to their goals.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Head of Data & AI Platforms & Engineer with P&C Insurance in Slough
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 platforms, engineering, 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 and AI, and how you can contribute to our mission at StudySmarter. Keep it engaging and relevant to the job description.
Showcase Your Achievements: When detailing your experience, focus on specific achievements that demonstrate your ability to lead data platform transformations. Numbers and outcomes speak volumes, so don’t shy away from sharing metrics that highlight your success!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at SANS Consulting Services, Inc.
✨Know Your Data Inside Out
Make sure you’re well-versed in the latest trends and technologies in data platforms and AI. Brush up on your knowledge of tools like Databricks and be ready to discuss how you’ve implemented data architecture and engineering frameworks in past roles.
✨Showcase Your Leadership Skills
As a Head of Data & AI Platforms, you’ll need to demonstrate your ability to lead teams effectively. Prepare examples of how you’ve built high-performing teams and managed vendor relationships to deliver successful projects.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve hypothetical problems related to data governance, quality, and compliance. Think through potential challenges you might face in this role and how you would address them, showcasing your strategic thinking.
✨Align with Business Objectives
Understand the company’s business goals and be ready to discuss how your vision for data and AI platforms aligns with these objectives. This shows that you’re not just focused on technology but also on driving business value.