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- Tasks: Lead the creation of a global data backbone for a major retail-investing platform.
- Company: Join Intelix.AI, a leader in financial services and technology innovation.
- Benefits: Enjoy a competitive salary, 35 days leave, 14% pension, and full family healthcare.
- Why this job: Make a real impact in data management while working in a hybrid environment with a dynamic team.
- Qualifications: 12+ years in enterprise data architecture, preferably in regulated financial services.
- Other info: This role is based in London with a flexible hybrid working model.
The predicted salary is between 120000 - 210000 £ per year.
This range is provided by Intelix.AI. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range
Direct message the job poster from Intelix.AI
Base c. £140-175k + bonus and LTIP (flexible for the right hire)
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.
Candidate with no Investment or Asset Management experience are not being considered for this role at this time.
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 %.
- 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.
- 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.
Location & Ways of Working
London HQ | Hybrid 2-3 days on-site.
Seniority level
-
Seniority level
Director
Employment type
-
Employment type
Full-time
Job function
-
Job function
Information Technology
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Industries
Financial Services and Technology, Information and Media
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Head of Data Management (London) employer: Intelix.AI
Contact Detail:
Intelix.AI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Data Management (London)
✨Tip Number 1
Make sure to highlight your experience in enterprise data architecture, especially within regulated financial services. This role specifically requires a deep understanding of UK/EU retail-investor regulations, so be prepared to discuss how your background aligns with these requirements.
✨Tip Number 2
Familiarise yourself with the latest technologies mentioned in the job description, such as Snowflake, Kafka, and K8s. Being able to speak confidently about your hands-on experience with these tools will set you apart from other candidates.
✨Tip Number 3
Demonstrate your leadership skills by preparing examples of how you've built and mentored teams in the past. This role involves leading a cross-location data-architecture guild, so showcasing your ability to inspire and manage a team is crucial.
✨Tip Number 4
Network with professionals in the financial services sector, particularly those with experience in data management. Engaging with industry peers can provide valuable insights and potentially lead to referrals, increasing your chances of landing an interview.
We think you need these skills to ace Head of Data Management (London)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in enterprise data architecture, especially 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, address how your skills align with the specific responsibilities outlined in the job description. Mention your experience with regulatory frameworks and your ability to lead cross-location teams.
Showcase Your Achievements: Quantify your past successes in data management roles. For instance, mention how you have previously reduced report latency or improved data literacy scores, as these metrics are crucial for this position.
Research Intelix.AI: Familiarise yourself with Intelix.AI's mission and values. Understanding their approach to data management and innovation will help you tailor your application and demonstrate your genuine interest in the role.
How to prepare for a job interview at Intelix.AI
✨Showcase Your Experience in Financial Services
Make sure to highlight your extensive experience in enterprise data architecture within regulated financial services. Be prepared to discuss specific projects where you've successfully navigated the complexities of wealth and pensions management.
✨Demonstrate Technical Proficiency
Familiarise yourself with the technologies mentioned in the job description, such as Snowflake, Kafka, and cloud data platforms. Be ready to explain how you've used these tools in past roles to drive data transformation and improve analytics.
✨Prepare for Governance and Quality Discussions
Since governance and quality are key aspects of this role, prepare examples of how you've implemented data quality frameworks and managed compliance with regulations like CASS and GDPR. This will show your understanding of the regulatory landscape.
✨Emphasise Leadership and Change Management Skills
As a senior role, they will be looking for strong leadership skills. Prepare to discuss your experience in building and mentoring teams, as well as how you've successfully led change initiatives in previous positions.
