Head of Data Management

Head of Data Management

London Full-Time 120000 - 210000 Β£ / year (est.) No home office possible
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At a Glance

  • Tasks: Lead the design and governance of enterprise data architecture for a global retail-investing platform.
  • Company: Join a leading firm managing Β£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 platforms essential.
  • Other info: This role requires expertise in UK/EU regulations and a proven track record in managing significant change budgets.

The predicted salary is between 120000 - 210000 Β£ per year.

Base c. Β£140-175k + bonus and LTIP (flexible for the right hire)

35 days leave β”‚ 14 % pension β”‚ full family healthcare

Purpose

Establish and scale a single enterprise data backbone for a global retail-investing and pensions platform (~Β£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 %.

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 Β£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

As a leading player in the global retail-investing and pensions sector, our company offers an exceptional work environment that prioritises innovation and employee development. With a competitive salary package, generous leave, and comprehensive healthcare benefits, we foster a culture of collaboration and continuous learning, empowering our employees to excel in their roles. Located in London, our hybrid working model allows for flexibility while being part of a dynamic team dedicated to transforming enterprise data management.
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Contact Detail:

Intelix.AI Recruiting Team

StudySmarter Expert Advice 🀫

We think this is how you could land Head of Data Management

✨Tip Number 1

Network with professionals in the investment and asset management sectors. Attend industry events, webinars, or meetups to connect with individuals who can provide insights into the role and potentially refer you.

✨Tip Number 2

Familiarise yourself with the latest trends and technologies in data architecture, especially those relevant to financial services. Being well-versed in tools like Snowflake and Kafka will demonstrate your commitment and expertise during discussions.

✨Tip Number 3

Prepare to discuss your experience with regulatory frameworks such as CASS and Consumer Duty. Highlight specific examples of how you've navigated these regulations in past roles to showcase your suitability for the position.

✨Tip Number 4

Consider reaching out to current or former employees of StudySmarter to gain insights into the company culture and expectations for the Head of Data Management role. This can help you tailor your approach and demonstrate your genuine interest.

We think you need these skills to ace Head of Data Management

Enterprise Data Architecture
Data Governance
Regulatory Compliance Knowledge (CASS, Consumer Duty, PRIIPs, GDPR)
Cloud Data Platforms (Snowflake, BigQuery, Redshift)
Data Lineage and Quality Frameworks (Collibra, Atlan, Informatica)
Event-Driven Data Processing
API Development and Integration
Data Modelling and Transformation
Leadership and Team Management
Agile Methodologies (SAFe, Spotify model)
Stakeholder Management
Budget Management (Β£20-100m change budgets)
Cross-Location Collaboration (UK & India)
Technical Negotiation Skills for Vendor Licensing

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 cloud data platforms like Snowflake or BigQuery.

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 that demonstrate your capability.

Showcase Relevant Experience: When detailing your work history, focus on projects where you led significant change initiatives, especially those involving data architecture in wealth or pensions. Use metrics to quantify your impact, such as budget sizes and improvements in data quality or efficiency.

Highlight Leadership Skills: Since this role involves building and mentoring a cross-location team, be sure to include examples of your leadership experience. Discuss how you've successfully managed teams, implemented agile methodologies, and influenced senior stakeholders.

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 or 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 discuss your hands-on experience with these tools and how you've implemented them in past roles.

✨Understand Regulatory Frameworks

Brush up on UK/EU retail investor regulations like CASS, Consumer Duty, and PRIIPs. During the interview, be prepared to explain how you have ensured compliance in previous positions and how you would approach regulatory challenges in this role.

✨Prepare for Leadership Questions

As this role involves building and mentoring a cross-location data-architecture guild, think about your leadership style and experiences. Be ready to share examples of how you've led teams, managed change, and fostered an agile working environment.

Head of Data Management
Intelix.AI
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  • Head of Data Management

    London
    Full-Time
    120000 - 210000 Β£ / year (est.)

    Application deadline: 2027-06-25

  • I

    Intelix.AI

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