Enterprise Data Architect

Intelix.AI
London
8 months ago
Applications closed

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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. £140-155 k + 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!

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 levelDirector

Employment type

  • Employment typeFull-time

Job function

  • Job functionInformation Technology
  • IndustriesFinancial Services and Technology, Information and Media

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