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- Tasks: Lead the strategy and delivery of cutting-edge data and AI platforms.
- Company: Dynamic tech organisation focused on innovation and excellence.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Join a collaborative team driving transformation in data technology.
- Why this job: Shape the future of data and AI while making a real impact.
- Qualifications: Proven leadership in data platforms and engineering with strong governance knowledge.
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 in Hemel Hempstead 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 in Hemel Hempstead
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨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.
✨Tip Number 3
Prepare for the interview by researching the company’s data strategy. Tailor your answers to show how your experience aligns with their goals, especially around data governance and platform engineering.
✨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!
We think you need these skills to ace Head of Data & AI Platforms & Engineer in Hemel Hempstead
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Head of Data & AI Platforms & Engineer role. Highlight your leadership experience in data platforms and any relevant projects you've led that showcase your ability to deliver large-scale changes.
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 your vision aligns with our goals at StudySmarter. Don’t forget to mention specific achievements that demonstrate your expertise in data governance and platform engineering.
Showcase Your Technical Skills: In your application, be sure to highlight your technical skills related to modern data platforms and analytics. Mention any experience you have with tools like Databricks or frameworks for data quality and compliance, as these are key to the role.
Apply Through Our Website: We encourage you to apply directly through our website. This way, we can ensure your application gets the attention it deserves. Plus, it’s the best way to stay updated on your application status!
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, analytics, and AI architectures. Brush up on the latest trends and technologies in the field, as well as any specific tools mentioned in the job description, like Databricks. This will show your passion and expertise during the interview.
✨Showcase Your Leadership Skills
Prepare examples that highlight your experience in leading teams and managing multi-disciplinary projects. Think about times when you successfully delivered large-scale data platform changes or improved BAU operations. Be ready to discuss how you motivate and build high-performing teams.
✨Understand the Business Impact
Be prepared to discuss how data platforms can drive business intelligence and decision-making. Think about how you would align data strategies with enterprise priorities and what metrics you would use to measure success. This shows that you’re not just technically savvy but also business-minded.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company’s current data challenges, their vision for AI integration, and how they measure the success of their data platforms. This demonstrates your genuine interest in the role and helps you assess if it’s the right fit for you.