Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead the creation of a global data backbone for a major retail-investing platform.
- Company: Join a leading firm managing around £400 billion in assets under administration.
- Benefits: Enjoy 35 days leave, 14% pension, and full family healthcare.
- Why this job: Be at the forefront of data innovation and governance in a dynamic environment.
- Qualifications: 12+ years in enterprise data architecture, preferably in regulated financial services.
- Other info: This role is fully remote with occasional on-site collaboration in London.
The predicted salary is between 140000 - 175000 £ per year.
Base c. £140-175k + bonus and LTIP (flexible for the right hire)
35 days leave │ 14 % pension │ full family healthcare
Establish and scale a single enterprise data backbone for a global retail-investing and pensions platform (~£400 bn AUA), enabling regulatory-grade lineage, real-time analytics, and API-driven product innovation.
You will be tasked with the front, middle and back-office solution, defining the interactions, integration and data model transformation.
Candidate with no Investment or Asset Management experience are not being considered for this role at this time.
Publish an enterprise-wide canonical data model covering custody, wrappers, trading, and digital touchpoints.
- Stand-up policy-as-code controls delivering automated Consumer Duty & CASS MI.
- Embed data-product operating model across UK & India hubs; uplift data-literacy score by 25%.
- Define reference architectures, patterns, and guardrails for data ingestion, storage, lineage, and access.
- Chair Data Design Council; RegTech Enablement: Automate regulatory reporting (MI-FID, PRIIPs, Consumer Duty) via policy-as-code pipelines.
- Drive shift from batch ETL to event-driven streaming.
- Vendor & Tooling Strategy: Rationalise BI, MDM, and metadata tooling.
- Build and mentor a 20-30 FTE cross-location data-architecture guild; embed OKRs and agile ways of working.
12+ yrs enterprise-data architecture in regulated financial-services (wealth/pensions a plus).
Hands-on design of lakehouse or cloud-data-platform (Snowflake, BigQuery, Redshift).
Proven lineage & quality frameworks (Collibra, Atlan, Informatica, or equivalent).
London HQ | Hybrid 2-3 days on-site.
Head of Data - FULLY REMOTE employer: Intelix.AI
Contact Detail:
Intelix.AI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Data - FULLY REMOTE
✨Tip Number 1
Network with professionals in the investment and asset management sectors. Attend industry events or webinars to connect with potential colleagues and learn about the latest trends in data architecture within this field.
✨Tip Number 2
Familiarise yourself with the specific regulatory frameworks relevant to financial services, such as MiFID and PRIIPs. Understanding these regulations will not only enhance your knowledge but also demonstrate your commitment to compliance in your role.
✨Tip Number 3
Showcase your experience with cloud data platforms like Snowflake or BigQuery in conversations. Be prepared to discuss how you've implemented data governance and quality frameworks in previous roles, as this is crucial for the position.
✨Tip Number 4
Prepare to discuss your leadership style and experience in mentoring teams. Highlight any past successes in building cross-location teams and implementing agile methodologies, as these are key aspects of the role.
We think you need these skills to ace Head of Data - FULLY REMOTE
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in enterprise data architecture, especially within regulated financial services. Emphasise any relevant projects or roles that demonstrate your ability to manage data governance and quality.
Craft a Compelling Cover Letter: In your cover letter, clearly articulate why you are the right fit for this role. Mention your experience with investment or asset management, and how it aligns with the responsibilities outlined in the job description.
Showcase Relevant Skills: Highlight specific skills that are crucial for this position, such as your hands-on experience with cloud data platforms like Snowflake or BigQuery, and your familiarity with regulatory reporting automation.
Demonstrate Leadership Experience: Since this role involves building and mentoring a cross-location data-architecture guild, be sure to include examples of your leadership experience and how you've successfully managed teams in previous roles.
How to prepare for a job interview at Intelix.AI
✨Showcase Your Experience
Make sure to highlight your extensive experience in enterprise data architecture, especially within regulated financial services. Be prepared to discuss specific projects where you've successfully implemented data governance and quality frameworks.
✨Understand the Role's Requirements
Familiarise yourself with the key responsibilities outlined in the job description. Be ready to explain how your skills align with establishing a single enterprise data backbone and driving the shift to event-driven streaming.
✨Demonstrate Leadership Skills
As this role involves building and mentoring a cross-location data-architecture guild, be prepared to share examples of your leadership style and how you've successfully managed teams in the past.
✨Prepare for Technical Questions
Expect technical questions related to data ingestion, storage, and lineage. Brush up on your knowledge of tools like Snowflake, BigQuery, and Collibra, and be ready to discuss how you've used them in previous roles.
