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- Tasks: Lead the design and delivery of innovative data platforms for AI and analytics.
- Company: Global transformation consultancy at the forefront of data and AI innovation.
- Benefits: Competitive salary, bonuses, flexible benefits, and a dedicated data academy for learning.
- Why this job: Shape strategy and make a real impact in a dynamic, ethical environment.
- Qualifications: Experience with cloud technologies and enterprise-grade data platforms required.
- Other info: Flexible hybrid working and opportunities for senior leadership roles.
The predicted salary is between 36000 - 60000 £ per year.
Our client is a global transformation consultancy operating at the forefront of data, AI and cloud innovation. They work with some of the most complex organisations to design and deliver next-generation data platforms that enable intelligent decision-making, responsible AI and long-term value creation. This is an environment built for technologists who want to shape strategy, influence enterprise-scale architecture and turn emerging technologies into real-world impact—without losing sight of ethics, sustainability and people.
The Data Platform Architecture & Engineering Consultant will sit at the intersection of strategy, innovation and delivery, leading the design and implementation of modern, cloud-native data platforms that power advanced analytics, AI and enterprise transformation.
Role Highlights- Lead the architecture and delivery of scalable, secure data and AI platforms across cloud environments
- Design and implement hybrid and cloud-native data architectures using modern data platforms
- Create proofs of concept and MVPs that demonstrate measurable business value from data and AI
- Embed DevOps, CI/CD and Infrastructure-as-Code to accelerate and harden delivery
- Shape enterprise data platform strategy, roadmaps and architecture blueprints for senior stakeholders
- Deep experience designing enterprise-grade data platforms and AI-enabled architectures
- Strong hands-on background with AWS, Azure or GCP and modern data technologies
- Proven expertise in DevOps, automation and Infrastructure-as-Code practices
- Consulting experience advising senior stakeholders and leading complex engagements
- Eligibility for UK security clearance (SC)
- Lead high-visibility data and AI transformation programmes across sectors
- Structured pathway for certifications and continuous learning via a dedicated data academy
- The freedom to experiment with emerging AI and automation technologies
- Flexible hybrid working with comprehensive wellbeing and benefits support
- A genuine opportunity to step into senior leadership within a global consulting environment
Apply today to take your career to the next level with a forward-thinking employer committed to equal opportunity. We are committed to promoting equality of opportunity for all employees and job applicants. In line with the Equality Act 2010, we strive to create and maintain a working environment free from discrimination or harassment, where decisions are based solely on merit.
Due to a high number of applicants, we are only able to respond to successful candidates.
Manager Data Management in City of London employer: Tarka Talent
Contact Detail:
Tarka Talent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Manager Data Management in City of London
✨Tip Number 1
Network like a pro! Reach out to people in the industry on LinkedIn or at events. 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. It’s a great way to demonstrate what you can bring to the table.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to data management. We recommend doing mock interviews with friends or mentors to boost your confidence.
✨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 hearing from passionate candidates like you!
We think you need these skills to ace Manager Data Management in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the job description. Highlight your experience with data platforms and cloud technologies like AWS, Azure, or GCP. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data management and how you can contribute to our innovative projects. Keep it concise but impactful—show us your personality!
Showcase Your Achievements: When detailing your experience, focus on specific achievements that demonstrate your expertise in designing enterprise-grade data platforms. Numbers and results speak volumes, so don’t hold back on the details!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our team at StudySmarter!
How to prepare for a job interview at Tarka Talent
✨Know Your Data Platforms
Make sure you brush up on your knowledge of cloud-native data platforms like AWS, Azure, and GCP. Be ready to discuss your hands-on experience with these technologies and how you've implemented them in past projects.
✨Showcase Your Consulting Skills
Prepare examples that highlight your consulting experience, especially when advising senior stakeholders. Think about complex engagements you've led and how you navigated challenges to deliver value.
✨Demonstrate DevOps Expertise
Familiarise yourself with DevOps practices, CI/CD, and Infrastructure-as-Code. Be prepared to explain how you've embedded these practices in your previous roles to accelerate delivery and improve efficiency.
✨Align with Company Values
Research the company's commitment to ethics, sustainability, and people. During the interview, express how your values align with theirs and how you can contribute to creating responsible AI and long-term value.
