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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 high-performing team with a focus on collaboration and success.
- Why this job: Shape the future of data and AI while making a real impact.
- Qualifications: Senior leadership experience in data platforms and engineering required.
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 Worcester 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 Worcester
✨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 is your chance to demonstrate your expertise and make a lasting impression on potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of data governance and platform engineering. Be ready to discuss how you've tackled challenges in past roles and how you can contribute to the company's goals.
✨Tip Number 4
Don't forget to apply through our website! We love seeing applications directly from candidates who are passionate about data and AI. It shows initiative and gives us a chance to see your enthusiasm right from the start.
We think you need these skills to ace Head of Data & AI Platforms & Engineer in Worcester
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, AI architectures, and the specific technologies mentioned in the job description. Brush up on your knowledge of Databricks, data governance, and compliance standards. Being able to discuss these topics confidently will show that you're not just familiar with the role but genuinely passionate about it.
✨Showcase Your Leadership Skills
As a Head of Data & AI Platforms, you'll need to lead teams effectively. Prepare examples of how you've built and managed high-performing teams in the past. Think about challenges you've faced and how you overcame them, especially in multi-disciplinary settings. This will demonstrate your capability to lead and inspire others.
✨Prepare for Change Management Questions
Expect questions around change delivery and transformation initiatives. Be ready to discuss specific projects where you've successfully implemented changes in data platforms or engineering processes. Highlight your approach to managing vendor relationships and ensuring value for money, as this is crucial for the role.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company's data strategy, current challenges they face, and their vision for the future. This not only shows your interest in the role but also helps you gauge if the company aligns with your career goals and values.