ServiceNow Product Manager Bank

Huxley Associates
Knutsford, Cheshire, United Kingdom
3 weeks ago
£70,000 – £100,000 pa

Salary

£70,000 – £100,000 pa

Posted
2 Apr 2026 (3 weeks ago)

ServiceNow Product Manager Banking

This is a new and exclusive opportunity for a ServiceNow owner Product Manager to join this thriving Banking business as they grow their ServiceNow centre of excellence

Role logistics

Job title: Product Manager

Technology focus- ServiceNow

Location Knutsford or Manchester, 2 days a week in the office and home working hybrid

Permanent role, salary £70,000- £100,000 dependent on experience

For this role as a ServiceNow Product Manager, you will help this Bank be better at collaborating with technology teams to optimise and improve the IT service management processes involved in the delivery and support of technology services to meet the needs of the bank.

You will be bringing your ServiceNow expertise to plan, create and design technology solutions which create solutions based on sophisticated analytical thought comparing and selecting complex alternatives. In-depth analysis with interpretative thinking will be required to define problems and develop innovative solutions.

To be successful as a Product Manager, you should have experience with:-

Deep ServiceNow expertise

Agile product ownership (OKRs, backlog, release planning) leading cross-functional squads and vendor partners

Strong data governance & quality management, experience with critical data elements, lineage, attestations, automated compliance monitoring and MI publishing

The successful candidate will be based in our Knutsford or Manchester office.

For more information, and the chance to be considered, please do send through a CV through to Kimberley Roe at Huxley

Many thanks

To find out more about Huxley, please visit

Huxley, a trading division of SThree Partnership LLP is acting as an Employment Business in relation to this vacancy | Registered office | 8 Bishopsgate, London, EC2N 4BQ, United Kingdom | Partnership Number | OC(phone number removed) England and Wales

Related Jobs

View all jobs

Senior Enterprise Architect - ServiceNow US available

TJX Europe Watford, Hertfordshire, United Kingdom
Remote

IT Vendor and Integration Lead

Dabster Systems UK Limited Dublin, City Of Dublin, Ireland
Contract

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.

Where to Advertise Data Science Jobs in the UK (2026 Guide)

Advertising data science jobs in the UK requires a different approach to most technical hiring. Data science spans a broad and often misunderstood spectrum — from statistical modelling and experimental design through to machine learning engineering, product analytics and AI research. The strongest candidates identify firmly with specific subdisciplines and are frustrated by adverts that conflate data scientist with data analyst, business intelligence developer or machine learning engineer. General job boards produce high application volumes for data roles but consistently fail to match specialist data science profiles with the right opportunities. This guide, published by DataScienceJobs.co.uk, covers where to advertise data science roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

New Data Science Employers to Watch in 2026: UK and International Companies Leading Analytics and AI Innovation

Data science has emerged as one of the most transformative forces across industries, turning raw information into actionable insights, predictive models, and AI-powered solutions. In 2026, the UK is witnessing a surge in organisations where data science is not just a support function but the core of their products and services. For professionals exploring opportunities on www.DataScience-Jobs.co.uk , identifying these employers early can provide a competitive advantage in a market with high demand for advanced analytics and machine learning expertise. This article highlights new and high-growth data science employers to watch in 2026, focusing on UK startups, scale-ups, and global firms expanding their data science operations locally. All of the companies included have recently raised investment, won high-profile contracts, or significantly scaled their analytics teams.

How Many Data Science Tools Do You Need to Know to Get a Data Science Job?

If you’re trying to break into data science — or progress your career — it can feel like you are drowning in names: Python, R, TensorFlow, PyTorch, SQL, Spark, AWS, Scikit-learn, Jupyter, Tableau, Power BI…the list just keeps going. With every job advert listing a different combination of tools, many applicants fall into a trap: they try to learn everything. The result? Long tool lists that sound impressive — but little depth to back them up. Here’s the straight-talk version most hiring managers won’t explicitly tell you: 👉 You don’t need to know every data science tool to get hired. 👉 You need to know the right ones — deeply — and know how to use them to solve real problems. Tools matter, but only in service of outcomes. So how many data science tools do you actually need to know to get a job? For most job seekers, the answer is not “27” — it’s more like 8–12, thoughtfully chosen and well understood. This guide explains what employers really value, which tools are core, which are role-specific, and how to focus your toolbox so your CV and interviews shine.