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- Tasks: Lead the Data & Analytics Architecture and AI initiatives to drive innovation.
- Company: Join a fast-growing global biscuits and confectionery brand committed to quality.
- Benefits: Competitive salary, diverse work culture, and opportunities for personal growth.
- Why this job: Make a real impact in a dynamic environment while shaping the future of data and AI.
- Qualifications: Proven experience in data architecture and strong leadership skills required.
- Other info: Be part of a team that values collaboration, creativity, and accountability.
The predicted salary is between 48000 - 84000 £ per year.
Want to help us bring happiness to the world? Want to join an ambitious and fast growing global biscuits and confectionery business investing heavily in iconic global brands, infrastructure and people? Then this is the place for you. As proud bakers and chocolatiers and custodians of iconic global brands, we don’t compromise on the quality of ingredients in our products or on the people we hire. We are looking for entrepreneurial spirits who share our passion for bringing happiness to our consumers and who embody our Winning Traits.
To succeed at pladis you need to be purpose-led, resilient and positive because we expect pace and agility, insist on collaboration and demand accountability. If that is your thing, then pladis offers global ambition, a clear Vision and roadmap for success, challenge, and unrivalled opportunities to learn and make an impact.
The Head of Data & Analytics Architecture and AI mission has three facets:
- Data & Analytics (D&A) Infrastructure Management: Develop, maintain, and optimize the D&A architecture on AWS and Azure, including the design, deployment, and maintenance of the cloud based Pladis’ data platform (PDP). Deliver an architecture that’s globally scalable, agile, and supportive of digital services through Data and Insights as a service via APIs.
- Data Technology Capability Enhancement: Design and oversee the implementation of the PDP 2.0 Tech stack. Champion engineering standards and ensure new engineers' quick integration and productivity. Lead engineering problem solving and provide technical guidance to squad engineers.
- Data Governance, Security, and Quality: Implement end to end data security measures, including periodic penetration testing, audits, and assurance of PDP. Coordinate with the CISO, DPO, and other teams to ensure data security, GDPR compliance, and overall data assurance.
- AI & Advanced Analytics Strategy and Vision: Set and align the AI architecture vision with the company’s overarching business goals. Stay updated with latest AI and ML trends to keep the company at the technological forefront.
- AI Solutions Design and Integration: Design AI solutions that are robust, scalable, and in line with business requirements. Integrate generalized AI models into business processes and ensure they harmonize with existing systems.
- AI Data Management and Storage: Manage and safeguard data for AI models, emphasizing governance, quality, security, and accessibility. Design storage solutions optimized for real time processing, querying, and scalability.
- AI Technical Leadership and Engagement: Mentor and guide AI teams, ensuring alignment with business objectives. Engage regularly with business stakeholders to align AI outputs with business needs.
- AI Solution Lifecycle Oversight: Ensure smooth deployment, monitoring, and maintenance of AI models in production environments. Uphold ethical standards and ensure compliance with data privacy regulations.
Technical Competencies: The role is a hands-on technical leadership role with advanced experience in at least most of the following technologies:
- Cloud Platforms: AWS (Amazon Web Services), Azure.
- Data Storage & Databases: SQL & NoSQL Databases, Big Data Ecosystems.
- Data Integration & ETL: Data Pipelining Tools, ETL Tools.
- AI & Machine Learning: Frameworks, AI Services.
- DevOps & Infrastructure as Code: Containerization, Infrastructure Automation.
- API & Microservices: API Development, Microservices Tools.
- Security & Governance: Identity & Access Management, Data Governance Tools, Data Security Tools.
- Data Analytics & BI: Visualization Tools, Analytics Services.
- Development & Collaboration Tools: Version Control, CI/CD Tools.
Other Key Skills: IaC (Infrastructure as Code), Serverless Architectures, Edge Computing, Networking & Content Delivery.
Competencies: Communication & Leadership, Experience, Technical Expertise, Industry Experience, Efficiency, Agile Expertise, Customer-Centric, Problem-Solving, Integrity & Independence, Quick Learner, Creativity, Data-Oriented, Detail-Oriented, Open Communication.
pladis is an Equal Opportunity Employer, committed to hiring a diverse workforce. All openings will be filled based on qualifications without regard to race, color, sex, sexual orientation, gender identity, national origin, marital status, veteran status, disability, age, religion or any other classification protected by law.
Head of Data & Analytics Architecture and AI in London employer: pladis
Contact Detail:
pladis Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Data & Analytics Architecture and AI in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for interviews by researching the company and its culture. Understand their mission and values, and think about how your skills align with their goals. This will help you stand out as a candidate who truly gets what they’re about.
✨Tip Number 3
Showcase your skills through projects or a portfolio. If you’ve worked on relevant data and analytics projects, make sure to highlight them. This gives you a chance to demonstrate your expertise beyond just words.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining our team at pladis.
We think you need these skills to ace Head of Data & Analytics Architecture and AI in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Head of Data & Analytics Architecture and AI role. Highlight your technical expertise in cloud platforms and data governance, as well as any leadership experience you have.
Craft a Compelling Cover Letter: Your cover letter is your chance to show us your personality and passion for the role. Share why you're excited about working with pladis and how your entrepreneurial spirit can contribute to our mission of bringing happiness to consumers.
Showcase Your Achievements: When detailing your past experiences, focus on specific achievements that demonstrate your ability to lead data architecture projects and enhance technology capabilities. Use metrics where possible to quantify your impact.
Apply Through Our Website: We encourage you to apply directly through our website. This ensures your application gets to the right people quickly and allows us to see your enthusiasm for joining our team at pladis!
How to prepare for a job interview at pladis
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially AWS and Azure services. Brush up on your knowledge of data architecture and AI frameworks like TensorFlow and PyTorch, as these will likely come up during technical discussions.
✨Showcase Your Leadership Skills
As a Head of Data & Analytics, you'll need to demonstrate strong leadership capabilities. Prepare examples of how you've led teams, mentored engineers, or driven projects to success. Highlight your servant leadership mindset and how it aligns with the company’s values.
✨Understand the Business Goals
Familiarise yourself with pladis' mission and how data and analytics can drive their business objectives. Be ready to discuss how your role can contribute to bringing happiness to consumers through innovative data solutions.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills and ability to handle real-world challenges. Think about past experiences where you’ve implemented data security measures or improved data quality, and be ready to share those stories.