Senior Systems Operation Engineer, Wells Fargo

Wells Fargo

Location:
United Kingdom, City of London

Category:
IT - Software Development

Contract Type:
Employment contract

Salary:

Not provided

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Job Description:

Wells Fargo is seeking a Data Scientist to join the Payments & Liquidity Technology (GPLT) with a focus on enabling data-driven decision making across Service Operations, Problem Management, Change, Resilience, and other key functions within Platform. This role will support the development of platform-wide data governance frameworks, enhance visibility into operational health, and improve how demand and utilisation are tracked across teams. You will work horizontally across all platform functions to identify gaps, surface trends, and build the insight layer that enables leadership to act faster, smarter, and more proactively.

Job Responsibility:

Develop and run platform-wide data frameworks and dashboards that provide a single source of truth for Service Management, demand, and stability metrics
Support the build-out of hotspot tracking and thematic analysis to proactively identify and prioritise operational risk
Design and implement data models that help assess team utilisation, demand vs. capacity alignment, and control health
Partner with function leads (Ops, Problem, Transition, Automation) to embed data governance into BAU routines
Help mature the use of AI/ML and automated analytics to drive insight from unstructured operational data (e.g. incident tickets, changes, tech debt)
Create intuitive visualisations that support senior management and platform leads in making informed, data-backed decisions
Ensure data pipelines, sources, and reporting processes are governed, repeatable, and auditable

Requirements:

Experience in Systems Engineering, and Technology Architecture, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
Strong experience in applied data science, operations analytics, or data governance in a complex technology or financial environment
Proficiency in Python, SQL, and data manipulation libraries
Ability to work with structured and unstructured data, building models that drive insight and action
Strong understanding of dashboards and visualisation (Power BI, Tableau, or similar)
Experience in building frameworks for operational visibility, risk tracking, or performance measurement
Familiarity with SRE/production engineering metrics (e.g. MTTR, incident volume, tech debt) and their business context

Nice to have:

Experience in building frameworks for operational visibility, risk tracking, or performance measurement
Familiarity with SRE/production engineering metrics (e.g. MTTR, incident volume, tech debt) and their business context

What we offer:

Equal opportunity employer
Workplace accommodation available for persons with disabilities
Comprehensive risk and compliance programs

Additional Information:

Job Posted:
September 08, 2025

Expiration:
September 14, 2025

Employment Type:

Fulltime

Work Type:

On-site work

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Senior Systems Operation Engineer