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

Nominate & Attend

Data Product Owner, Financial Crime Technology

Bishopsgate
2 months ago
Applications closed

Related Jobs

View all jobs

Product Owner - Credit Risk Stress Testing

Associate Software Engineer

Senior Backend Developer

Analytics Governance Technical Analyst - AVP

Technical Product Manager - Data Platform

Business Analyst - Insurance

Join us as a Data Product Owner, Financial Crime Technology

Build your career in an influential role, as you’ll own a product vision and roadmap and be contributing to the wider platform vision and roadmap

You’ll be working with Financial Crime Process Owners and Platform Leads, keeping them up to date and getting their feedback to help us shape the future of our business

Drawing on your knowledge of data, controls and Agile methodologies and your passion for innovation, you'll be making a key contribution to our team culture 

What you'll do

As a Data Product Owner for Financial Crime Technology, you’ll bring the point of view of our Product Teams, end users and stakeholders to the forefront of understanding the product vision for our data controls environment. You’ll be defining the Data (Key Data Elements) used in the Financial Crime Services (FCS) process journeys and ensuring that they are maintained and managed in line with Bank Data Governance.

With exceptional leadership skills, you’ll drive your team towards this vision, regularly stopping along the way to check-in, adjust, calibrate and move forward. We’ll also look to you to make sure that stories and enablers meet acceptance and quality criteria, keeping them in-line with the vision, features and programme increment objectives.

Your responsibilities will include:

Working with the Financial Crime process owners, and platform leads, defining, maintaining and enhancing the Data Controls across the process journey

Making sure the data controls allow us to identify, measure, monitor the data consumed by our Financial Crime processes

Driving the prioritisation of data issues; and ensure we remediate data quality issues impacting our Financial Crime processes

Driving the culture of data ownership across product and platform teams

Making sure that the backlog is maintained, and that your delivery teams are frequently collaborating with customers or users to populate and refine the backlog

Helping to drive programme iteration objectives at a team or enterprise level, and coordinating with other product owners and system teams

Working with enterprise architects and teams to understand and prioritise the enablers

Supporting the development of your teams by answering any questions and removing impediments

Tracking and reporting progress, and attending any retrospective, spanning all delivery teams that are involved with delivering the product

The skills you'll need

We’re looking for a creative thinker, with a good understanding of data, controls and Agile methodologies and experience of working in an Agile or controls team. You’ll need to be able to relate your everyday work to the broader strategic vision of your feature team, along with the ability to maintain a strong focus on business outcomes. And, you’ll have excellent communication and influencing skills.

Additionally, we’ll expect you to have:

Knowledge of the data lifecycle; including ownership and management of data

Knowledge of data modelling and data architecture and the how they can be used in our data lifecycle

The ability to explain complex data issues using language understood by all colleagues

Knowledge of product development and management techniques

Experience of changing team or department mind-sets, culture and structure

A background of working with delivery teams and knowledge of collaboration techniques

The ability to motivate, actively engage and communicate with colleagues at all levels

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.

LinkedIn Profile Checklist for Data Engineering Jobs: 10 Tweaks to Maximise Recruiter Visibility

As organisations harness vast volumes of data, the demand for skilled data engineers—experts in ETL pipelines, data warehousing, and scalable architectures—has surged. Recruiters routinely search LinkedIn for candidates proficient in tools like Spark, Kafka and SQL pipelines. To stand out, your profile must be optimised for relevant keywords and showcase your technical impact. This LinkedIn for data engineering jobs checklist provides ten precise tweaks to maximise recruiter visibility. Whether you’re building your first data platform or architecting petabyte-scale systems, these targeted adjustments will make your profile attract hiring managers and land interviews.

Part-Time Study Routes That Lead to Data Engineering Jobs: Evening Courses, Bootcamps & Online Masters

Data engineering is at the heart of modern digital transformation. From building scalable ETL pipelines in finance to designing real-time analytics platforms in e‑commerce, organisations across the UK are investing heavily in data infrastructure. As a result, demand for skilled data engineers—professionals who can ingest, process, store and serve vast volumes of data—is soaring. Yet many aspiring engineers cannot pause their careers to study full time. Thankfully, an extensive range of part-time learning pathways—Evening Courses, Intensive Bootcamps and Flexible Online Master's Programmes—allows you to learn data engineering while working. This in-depth guide covers every route: foundational modules and short courses, hands‑on bootcamps, accredited online MScs, plus funding options, planning strategies and a real-world case study. Whether you’re a database administrator, software developer or business analyst aiming to pivot into data engineering, this article will help you map out a tailored path to build in-demand skills without interrupting your professional or personal life.

The Ultimate Assessment-Centre Survival Guide for Data Engineering Jobs in the UK

Assessment centres for data engineering positions in the UK rigorously test your ability to design, build and optimise data pipelines under real-world conditions. Employers use a blend of technical challenges, psychometric assessments, group exercises and interviews to see how you handle data architecture, collaboration and problem-solving at scale. Whether you’re focusing on batch processing, stream engineering or data warehousing, this guide will lead you through every stage with actionable strategies to stand out.