Head of Data

ICAEW
Milton Keynes, United Kingdom
2 weeks ago
£110,000 – £125,000 pa
Applications closed

Related Jobs

View all jobs

Head of Data

Spectrum IT Recruitment Poole, Dorset, BH13 7EE, United Kingdom
£70,000 – £75,000 pa On-site

Head of Data and Product

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

Head of Data and BI

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

Head of Data Architecture & Governance

Peabody Chaucer, London, United Kingdom
On-site

Head of AI & Automation

Experis United Kingdom
£85,000 – £100,000 pa Permanent

Data Governance Manager

Softcat Manchester, United Kingdom
Hybrid

Salary

£110,000 – £125,000 pa

Job Type
Permanent
Work Pattern
Full-time
Work Location
Hybrid
Seniority
Director
Education
Degree
Posted
30 Apr 2026 (2 weeks ago)

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.

Industry Insights

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

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

Where to advertise data science jobs UK in 2026: the specialist boards, communities and channels that actually reach senior and lead data science talent. 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.

Data Science Jobs UK 2026: What to Expect Over the Next 3 Years

Data Science Jobs UK 2026: roles, salaries and the trends shaping UK data science hiring over the next three years — from MLE crossover to GenAI workflows. Data science has spent the past decade being described as the sexiest job of the twenty-first century. By 2026, the reality is both more nuanced and more interesting than that label ever suggested. The discipline has matured, fragmented, deepened, and in some respects reinvented itself — and the jobs market has changed with it in ways that create genuine opportunity for those who understand what employers actually want, and genuine difficulty for those still operating on assumptions formed five years ago. The data science jobs market of 2026 is not simply a larger version of what it was three years ago. The generalist data scientist — equally comfortable wrangling data, building models, and presenting insights to the board — is giving way to a more specialised landscape where employers know exactly what problem they are trying to solve and are looking for candidates with the specific depth to solve it. Machine learning engineering, causal inference, experimentation, AI product development, and domain-specific applied science have all emerged as distinct career tracks within what was previously a single, loosely defined profession. At the same time, the arrival of large language models and the broader AI capability wave has both threatened and created data science roles in equal measure. Some of the work that junior data scientists spent their early careers doing — data cleaning, exploratory analysis, basic model building — is being partially automated by AI tooling. But the demand for practitioners who can evaluate AI systems rigorously, apply statistical thinking to complex business problems, and build the data foundations on which AI depends has grown considerably. The candidates who will thrive over the next three years are those who understand where the discipline is heading — which specialisms are attracting the most investment, which technologies are reshaping what data scientists are expected to build and know, and how to position a data science career that will remain valuable as the field continues to evolve around them. This article breaks down what the UK data science jobs market is likely to look like through to 2028 — covering the titles emerging right now, the technologies driving employer demand, the skills that will matter most, and how to position your career ahead of the curve.

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

New Data Science Employers to Watch in 2026: a UK and international shortlist of analytics and AI companies hiring data scientists, ML engineers and analysts. 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.