Head of Data

ICAEW
Milton Keynes, United Kingdom
Today
£110,000 – £125,000 pa

Salary

£110,000 – £125,000 pa

Job Type
Permanent
Work Pattern
Full-time
Work Location
Hybrid
Seniority
Director
Education
Degree
Posted
30 Apr 2026 (Today)

Benefits

Flexible working arrangements Pension plan Gym discounts Season ticket travel loans Health and dental plans

Head of Data
Milton Keynes
Hybrid
Permanent
Full time - 35 hours
£110,000 - £125,000

Join the ICAEW

At ICAEW, you'll be part of an organisation that's shaping the future of business, finance and the accountancy profession on a global scale. Our bold 2030 Strategy puts members, innovation, sustainability and trust at the heart of everything we do-creating an exciting, forward-looking environment where your work has real impact. We invest in our people through our benefits package, continuous development and a supportive, inclusive culture that empowers you to grow and thrive. If you're looking for a role with purpose, influence and opportunity, ICAEW is a place where your future can truly take shape.

Role Profile

The Head of Data leads the organisation's data strategy, advanced analytics, and system integration efforts. This role is responsible for building and scaling data capabilities that enable data-driven decision-making across the business.

By overseeing teams focused on data Analytics & Reporting, data engineering, and Data Governance, this leader creates robust, scalable, and secure data pipelines and advanced analytical models, ultimately driving better insights and outcomes for the organisation.

Responsibilities include:
* Define and execute a holistic data strategy aligned with organisational objectives.
* Lead teams of data analysts in developing predictive models and advanced analytics solutions.
* Architect, maintain, and scale robust data infrastructures, including ETL/ELT pipelines, data lakes, and warehouses.
* Establish and maintain a comprehensive data governance framework meeting regulatory and security standards.
* Partner with cross-functional teams to define data needs and deliver tailored solutions.
* Ensure compliance with data privacy regulations and collaborate with Information Security to implement secure data handling practices.

Candidate Profile

Requirements include:
* Demonstrable experience in Data.

* Extensive experience in a leadership role.
* Proven track record in leading data science and data engineering teams or functions.
* Hands-on experience with machine learning, predictive modelling, statistical analysis, and integration strategy/implementation.
* Experience implementing and managing ETL/ELT pipelines, data lakes, and data warehouses.
* Proven track record of successfully leading organization-wide transformation of data strategy & supporting governance.


For the full role profile please click the document attached.

Why work for us?
We want you to enjoy your work and flourish in your role.
Our working environment is friendly and supportive, and we encourage everyone to understand personal differences and treat each other with respect.
We are a diverse organisation, employing skilled and motivated people from all backgrounds and helping them to reach their full potential, through training and development.
Sustainability is important to us, and we work hard to reduce our carbon footprint, whether that's in our buildings through lighting and heating, or encouraging staff to recycle and reduce paper consumption.
Our employee benefits include:
* A substantial suite of training and development
* Flexible working arrangements
* A generous benefits package which includes gym discounts, pension plan, season ticket travel loans and health and dental plans
We are a disability confident employer.

Related Jobs

View all jobs

Head of Data

ICAEW Milton Keynes, United Kingdom
£110,000 – £125,000 pa Hybrid

Head of Data

WeDoData London, United Kingdom
£50,000 – £55,000 pa

Head of Data and Product

Aspire Personnel Ltd Poole, Dorset, BH13 7EE, United Kingdom
£65,000 – £75,000 pa On-site

Head of Data & AI

BRUSH Group Loughborough, LE11 2QG, United Kingdom
£70,000 – £120,000 pa Hybrid

Head of Data and BI

Corecom Consulting York, North Yorkshire, YO1 8RS, United Kingdom
£90,000 – £95,000 pa Hybrid

Head of Data & Analytics - London

Michael Page London, United Kingdom
£90,000 – £110,000 pa

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.