AI-Ready Data Analytics Architect (Senior IC)

Capital One Group

Nottingham

Hybrid

GBP 90,000 - 120,000

Full time

2 days ago
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Benefits offered by this job

Pension and bonus schemes
25 days annual leave (increasing with/
Private medical insurance
Enhanced parental leave

Job summary

Capital One UK is seeking a Data Analytics Manager (Individual Contributor) to shape UK data strategy, establishing governance, lineage, and metadata foundations for AI-enabled decisioning and reporting. You will translate commercial intent into scalable data requirements and lead high-impact initiatives without direct reports.

The role emphasizes partnering with business and tech teams, delivering reusable data services, and driving data quality as a standard across the organization.

Qualifications

  • Extensive experience in data analysis, data strategy, or data management in large enterprises.
  • Proven track record as a senior individual contributor influencing stakeholders without direct reports.
  • Knowledge of semantic data modelling, metadata management, and data cataloguing principles for AI-ready ecosystems.
  • Proficiency in SQL and Python; familiarity with AWS; ability to translate business needs into data requirements.

Responsibilities

  • Partner with cross-functional teams at inception to define data requirements, lineage and governance.
  • Create AI-ready data catalog definitions and conceptual relationships from day one.
  • Design reusable data services to avoid rebuilding data infrastructure.
  • Act as an authoritative Data voice in non-technical and executive forums to minimise risk.

Skills

SQL
Python
Data modelling
Metadata management
AI tooling awareness

Education

Bachelor's degree in a relevant field

Tools

AWS
Java

Job description

Capital One UK is seeking a Data Analytics Manager (Individual Contributor) to shape UK data strategy, establishing governance, lineage, and metadata foundations for AI-enabled decisioning and reporting. You will translate commercial intent into scalable data requirements and lead high-impact initiatives without direct reports.

The role emphasizes partnering with business and tech teams, delivering reusable data services, and driving data quality as a standard across the organization.

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