National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Data Management Governance & Quality Assurance Manager, Fraud Prevention

Chalkwell
2 months ago
Applications closed

Related Jobs

View all jobs

Consultant Psychiatrist

Data Governance Analyst

Project Manager - Carbon Data

Data Asset Register Lead

Enterprise Risk & Controls Manager

Data Governance Manager

Join us as a Data Management Governance & Quality Assurance Manager

We’re looking for someone to set and lead the strategic data management governance and quality direction for the Fraud Prevention COE

You’ll take the lead in implementing our data quality framework and establishing a data quality centre of excellence

This is your opportunity to make an important and far-reaching impact through your work and benefit from excellent stakeholder exposure

What you'll do

We’ll be asking you to lead our data management governance strategic direction, metrics and working practices across the Fraud Prevention COE. You’ll provide data quality insights and make sure that guidance materials and resources are readily available to leadership teams and their colleagues, so that we can improve data quality and help boost data literacy across our organisation.

As well as this you’ll be:

Establishing controls and governance practices to make sure we’re complying with the data management policy

Building and leading a data quality centre of excellence, providing capabilities to detect data quality issues

Establishing the direction and services to continuously improve user access and entitlement management over banking platforms and systems

Representing the current state situation of data management and data quality, including performance against targets, emerging risks and issues, at bank-wide risk governance meetings

The skills you'll need

Crucial to your success will be your experience of driving data management and data quality improvement initiatives to meet long-term goals. Along with coaching and mentoring experience, you’ll have a background in building support and engagement for solutions by sharing information and taking an active leadership role in cross-functional activities.

You’ll also need:

The ability to communicate the context of data issues to senior leaders in order to gain their support to drive improvements

Broad knowledge of data management principles, coupled with the ability to see the bigger picture

The ability to leverage best practice and apply appropriately to continuously improve our data governance and data quality framework

Experience of communicating complex subjects in a simple and accessible way to senior and generalist audiences

The ability to make complex decisions and using a broad range of factors to develop solutions

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How to Get a Better Data Engineering Job After a Lay-Off or Redundancy

Redundancy can be unexpected and unsettling, especially in a field as technically demanding as data engineering. But the good news is: your skills are still in high demand. The UK continues to see strong growth in data infrastructure, cloud analytics, machine learning pipelines, and data governance roles. Whether you're a big data engineer, ETL specialist, cloud data platform expert, or someone working in real-time streaming and pipelines, there are new opportunities to rebuild and rebrand your career. This guide is designed to help UK-based data engineers bounce back after a redundancy, with a step-by-step roadmap to relaunch into a stronger, better-aligned role.

Data Engineering Jobs Salary Calculator 2025: Work Out Your True Worth in Seconds

Why last year’s pay survey misleads data engineers today Ask any Data Engineer elbow‑deep in late‑arriving CDC streams, an Analytics Engineer stockpiling dbt models, or a DataOps Lead juggling Airflow failures: “Am I earning what I deserve?” The answer changes monthly. New GPU‑hungry AI workloads spike storage costs, lakehouse toolchains displace legacy marts, & suddenly real‑time streaming isn’t “nice to have” but the lion’s share of your backlog. Each shift nudges salary bands. A PDF salary guide printed in 2024 under‑reports pay the moment Databricks announces another acquisition or HMRC mandates digital provenance. To provide an up‑to‑date benchmark, DataEngineeringJobs.co.uk distilled a transparent, three‑factor formula. Plug in your discipline, UK region, & seniority; out pops a realistic 2025 salary. No stale averages, no guesswork. This article unpacks the formula, details the forces pushing data‑engineering pay upward, & offers five practical actions to lift your value in the next ninety days.

How to Present Data Engineering Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

As the demand for data engineers grows, so do the expectations. It’s not enough to build robust pipelines or optimise ETL jobs—UK employers now look for candidates who can also communicate clearly with stakeholders, especially those without technical backgrounds. Whether you're applying for a data engineering role in finance, healthcare, retail, or tech, your ability to explain complex systems in plain English is becoming one of the most valued soft skills in interviews and in the workplace. This guide will help you master public speaking for data engineering roles: from structuring your presentation and designing effective visuals, to simplifying terminology, storytelling and confidently answering stakeholder questions.