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- 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 in a dynamic, agile environment.
- Qualifications: 12+ years in enterprise data architecture, preferably in regulated financial services.
- Other info: This is a remote role with a hybrid option; London HQ.
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.
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.
- 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 (Remote) employer: Intelix.AI
Contact Detail:
Intelix.AI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Data (Remote)
✨Tip Number 1
Network with professionals in the investment and asset management sectors. Attend industry events or webinars to connect with key players and gain insights into the latest trends and challenges in enterprise data architecture.
✨Tip Number 2
Familiarise yourself with the specific tools and technologies mentioned in the job description, such as Snowflake, BigQuery, and Collibra. Consider taking online courses or certifications to demonstrate your expertise and commitment to these platforms.
✨Tip Number 3
Prepare to discuss your experience with regulatory frameworks and governance in financial services. Be ready to share examples of how you've implemented data quality frameworks and automated reporting processes in previous roles.
✨Tip Number 4
Showcase your leadership skills by highlighting any experience you have in building and mentoring teams. Be prepared to discuss your approach to fostering a data-driven culture and improving data literacy within an organisation.
We think you need these skills to ace Head of Data (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 your understanding of the role and how your background aligns with the company's needs. Mention specific experiences related to data lineage, real-time analytics, and your familiarity with tools like Snowflake or BigQuery.
Showcase Leadership Experience: Since this is a senior position, highlight your leadership skills and experience in building and mentoring teams. Provide examples of how you've successfully led data architecture initiatives and improved data literacy in previous roles.
Demonstrate Industry Knowledge: Given the focus on investment and asset management, include any relevant industry knowledge or certifications you possess. This will show that you understand the specific challenges and requirements of the sector.
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.
✨Demonstrate Technical Proficiency
Familiarise yourself with the tools and technologies mentioned in the job description, such as Snowflake, BigQuery, and Collibra. Be ready to explain how you've used these platforms in past roles to drive data innovation and improve analytics.
✨Discuss Leadership and Mentoring
As this role involves building and mentoring a cross-location data-architecture guild, be prepared to share examples of how you've led teams in the past. Highlight your approach to fostering collaboration and uplifting data literacy within your team.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills in real-time analytics and data model transformation. Think about challenges you've faced in previous roles and how you overcame them, particularly in relation to regulatory compliance and data lineage.
