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- Tasks: Lead the design and governance of enterprise data architecture for a global retail-investing platform.
- Company: Join a leading firm managing £400 billion in assets, focused on innovation and regulatory compliance.
- Benefits: Enjoy 35 days leave, a 14% pension contribution, and full family healthcare.
- Why this job: Shape the future of data management while mentoring a dynamic team in a hybrid work environment.
- Qualifications: 12+ years in enterprise data architecture within regulated financial services; experience with cloud data platforms required.
- Other info: This role is ideal for those with a strong background in investment or asset management.
The predicted salary is between 120000 - 210000 £ per year.
Base: c. £140-175k + bonus and LTIP (flexible for the right hire)
Benefits: 35 days leave │ 14% pension │ full family healthcare
Purpose: 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.
12-Month Success Metrics:
- 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.
- Migrate 60% of legacy ETL into an event-stream / Snowflake lakehouse pattern, cutting report latency to < 60 sec.
- Embed data-product operating model across UK & India hubs; uplift data-literacy score by 25%.
Core Accountabilities:
- Architecture & Design Authority: Define reference architectures, patterns, and guardrails for data ingestion, storage, lineage, and access.
- Governance & Quality: Chair Data Design Council; own enterprise glossary, DQ KPIs, and remediation backlog.
- RegTech Enablement: Automate regulatory reporting (MI-FID, PRIIPs, Consumer Duty) via policy-as-code pipelines.
- Platform Modernisation: Drive shift from batch ETL to event-driven streaming; partner with cloud-engineering on Snowflake, Kafka, K8s.
- Vendor & Tooling Strategy: Rationalise BI, MDM, and metadata tooling; negotiate enterprise licences.
- Leadership & Change: Build and mentor a 20-30 FTE cross-location data-architecture guild; embed OKRs and agile ways of working.
Profile We’re After:
- 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).
- Deep grasp of UK/EU retail-investor regs (CASS, Consumer Duty, PRIIPs, GDPR).
- Track record steering £20-100 m change budgets and influencing C-suite & boards.
- Comfortable orchestrating UK/India delivery trains; SAFe / Spotify model experience desirable.
Location & Ways of Working: London HQ | Hybrid 2-3 days on-site.
Head of Data Management employer: Intelix.AI
Contact Detail:
Intelix.AI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Data Management
✨Tip Number 1
Make sure to highlight your experience in enterprise data architecture within regulated financial services. Given the specific requirements for this role, showcasing your familiarity with wealth and pensions will set you apart from other candidates.
✨Tip Number 2
Demonstrate your hands-on experience with cloud data platforms like Snowflake or BigQuery. Be prepared to discuss specific projects where you've designed or implemented these technologies, as this will be crucial for the role.
✨Tip Number 3
Familiarise yourself with UK and EU retail investor regulations such as CASS and Consumer Duty. Being able to speak knowledgeably about these regulations during discussions will show that you understand the compliance landscape relevant to the position.
✨Tip Number 4
Prepare to discuss your leadership experience, particularly in building and mentoring teams. This role requires managing a cross-location data-architecture guild, so examples of how you've successfully led teams in the past will be beneficial.
We think you need these skills to ace Head of Data Management
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your extensive experience in enterprise data architecture, particularly within regulated financial services. Emphasise any hands-on design work with lakehouse or cloud data platforms like Snowflake.
Craft a Compelling Cover Letter: In your cover letter, clearly articulate your understanding of the role's requirements and how your background aligns with them. Mention specific achievements related to data governance, lineage frameworks, and regulatory compliance.
Showcase Relevant Experience: When detailing your work history, focus on your experience with data ingestion, storage, and quality frameworks. Highlight any leadership roles you've held, especially those involving cross-location teams or significant change budgets.
Demonstrate Industry Knowledge: Include insights into your understanding of UK/EU retail-investor regulations such as CASS and Consumer Duty. This will show that you are not only qualified but also well-versed in the regulatory landscape relevant to the position.
How to prepare for a job interview at Intelix.AI
✨Showcase Your Regulatory Knowledge
Given the importance of regulatory compliance in this role, make sure to highlight your understanding of UK/EU retail-investor regulations like CASS and Consumer Duty. Prepare specific examples of how you've navigated these regulations in past roles.
✨Demonstrate Technical Expertise
Be ready to discuss your hands-on experience with cloud data platforms such as Snowflake or BigQuery. Share insights on how you've designed lakehouse architectures and the impact they had on data management efficiency.
✨Highlight Leadership Experience
This position requires leading a cross-location team. Prepare to talk about your experience in building and mentoring teams, especially in a hybrid work environment. Discuss any frameworks or methodologies you've implemented to enhance team performance.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills in data architecture and governance. Think through potential challenges you might face in this role and how you would address them, particularly around data lineage and quality frameworks.
