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Head of Data Deployment & Risk Management - VP Level

Jefferson Frank

Glasgow

Hybrid

GBP 66,000 - 91,000

Full time

Today
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Job summary

A global financial services leader is seeking a Head of Data Deployment & Risk Management in Glasgow. This strategic VP-level role involves designing a scalable service transition framework for high-volume data platform changes, overseeing risk management, and managing a growing team. Ideal candidates will have strong experience in Change & Risk Management within Financial Services, particularly with AWS knowledge and a strategic mindset. This role includes a competitive salary and a hybrid work model.

Qualifications

  • Strong experience in Change & Risk Management within Financial Services.
  • Proven ability to design service frameworks in complex, high-change environments.
  • Knowledge of AWS cloud environments (certification preferred).

Responsibilities

  • Define and implement standards for how engineering teams deliver change across the data platform.
  • Lead the creation of a 'how-to' guidebook for data platform changes, ensuring consistency and safety.
  • Design and embed a service transition framework to manage high volumes of change.
  • Oversee change release and risk management, ensuring platform integrity and compliance.
  • Collaborate with internal customers to gather feedback and continuously improve service delivery.

Skills

Change Management
Risk Management
Service Design
AWS knowledge

Tools

AWS
Agile methodologies
Job description
Overview

Head of Data Deployment & Risk Management - VP Level
Location: Glasgow (Hybrid - 2 days/week in office)
Salary: £66,000 - £91,000 + Bonus + Benefits
Sponsorship Available

We're working with a global financial services leader to find a Head of Data Deployment & Risk Management - a strategic VP-level role that blends service design, change governance, and risk management across a high-volume data platform environment.

This isn't your typical ITIL service manager role. It's about designing a scalable service transition framework that ensures hundreds of monthly changes are delivered safely, efficiently, and with measurable value to internal engineering teams.

What You'll Be Doing
  • Define and implement standards for how engineering teams deliver change across the data platform.
  • Lead the creation of a "how-to" guidebook for data platform changes, ensuring consistency and safety.
  • Design and embed a service transition framework to manage high volumes of change.
  • Oversee change release and risk management, ensuring platform integrity and compliance.
  • Collaborate with internal customers to gather feedback and continuously improve service delivery.
  • Manage a growing team (starting with 2 experienced VPs, scaling to 8-10 over time).
What You'll Bring
  • Strong experience in Change & Risk Management within Financial Services.
  • Proven ability to design service frameworks in complex, high-change environments.
  • Knowledge of AWS cloud environments (certification preferred).
  • Familiarity with Scaled Agile or similar delivery frameworks.
  • A strategic mindset with a customer-first approach to internal service delivery.
Bonus Points For
  • Experience with DevOps, CI/CD, or test automation strategy.
  • Risk Management qualifications.
  • A background in service design or transition planning.
Why This Role?
  • You'll shape how a major financial institution delivers change at scale.
  • You'll work closely with senior leadership and influence enterprise-wide standards.
  • You'll be measured by real impact - internal customer satisfaction and platform safety.
  • You'll have the autonomy to build and lead a high-performing team.

Tenth Revolution Group / Nigel Frank are the go-to recruiter for Data and AI roles in the UK, offering more opportunities across the country than any other. We're the proud sponsor and supporter of SQLBits, and the London Power BI User Group. To find out more and speak confidentially about your job search or hiring needs, please contact me directly at v.simpson@tenthrevolution.com

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