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Protocol Intelligence
Data-driven signals on your job's competitivenessTier-1 brand and metro locations increase competition, though seniority reduces applicant density.
Financial services governance, PBWM and UK regulatory knowledge make the role industry-specific.
Explicit 15+ years, mandatory Snowflake/dbt and governance make filters highly selective.
Job Description
Structured overview of role & requirementsAbout This Role
Lead strategic and technical direction for analytics engineering within PBWM, including defining standards, governance frameworks, and data strategy.
Design and govern complex cross-domain data models and trusted data products aligning with enterprise architecture and business goals.
Drive adoption of DataOps and analytics best practices (dbt, CI/CD, data quality), deliver automation of data pipelines, manage platform costs, and mentor analytics engineers.
Minimum Requirements
At least 15 years of experience in Analytics Engineering, Data Architecture, Data Modelling, or related fields.
Expertise in canonical and semantic data modelling, data product governance, and analytics engineering tools including dbt and Snowflake.
Experience working within regulated environments, preferably in Financial Services, with understanding of GDPR, data privacy, and UK regulatory compliance.
Work Experience Required: Minimum 15 years as specified; Notice Period: Not explicitly mentioned in the JD.
Ideal Candidate Profile
Senior-level candidate capable of providing strategic and technical leadership in analytics engineering for Personal Banking & Wealth Management (PBWM).
Experienced in operating within highly governed and regulated financial services environments with strong data governance and regulatory compliance knowledge.
Proficient in integrating modern cloud-native analytical platforms and advanced data modelling with practical cost and platform management.