Chief Digital, Data & Technology Officer

SHEER JOBS LIMITED

Woking, Surrey, United Kingdom

Last month

£950 – £1,000 pd

Salary

£950 – £1,000 pd

Posted: 8 Apr 2026 (Last month)

Save job

Create job alert

Job Title: Chief Digital, Data & Technology Officer

Location: Surrey (Hybrid)

Rate: £1,000 per day

Contract: Interim

Overview

Sheer Jobs is recruiting on behalf of a local authority for an outstanding Chief Digital, Data & Technology Officer (CDDTO). This is a senior interim leadership role requiring a highly experienced professional with a proven public sector background, capable of leading large-scale digital, data and technology transformation within a complex government environment.

You will act as the Council’s principal authority on digital, data and technology, driving innovation, transformation, and system-wide collaboration to deliver modern, citizen-focused services.

Key Responsibilities

* Lead the strategic vision for digital, data and technology in alignment with organisational and public sector priorities.

* Act as the senior adviser to executive leadership and elected members.

* Oversee a major digital investment portfolio, ensuring value, governance and delivery.

* Drive transformation through adoption of emerging technologies including AI and automation.

* Lead large-scale, multi-agency programmes, acting as SRO where required.

* Develop and implement enterprise-wide data strategy, governance and ethical frameworks.

* Ensure secure, resilient and scalable digital infrastructure and cyber security practices.

* Provide leadership across public sector partners to enable integrated service delivery.

* Lead and develop a high-performing, multidisciplinary team.

* Manage supplier relationships and ensure strong commercial outcomes.

Essential Requirements (Public Sector Experience Mandatory)

* Extensive senior-level experience (CIO/CTO/CDIO) within the public sector (local government strongly preferred).

* Proven track record of delivering digital, data and technology transformation in a government or public service environment.

* Strong understanding of public sector governance, political landscapes and multi-agency working.

* Experience working with elected members, senior officers and external public bodies.

* Deep knowledge of data governance, cyber security, enterprise architecture and emerging technologies.

* Strong commercial acumen with experience managing large budgets and contracts.

About You

* A credible and influential leader, confident operating at executive and political levels.

* Experienced in leading large teams and driving cultural and organisational change.

* Strategic thinker with a hands-on, delivery-focused approach.

* Excellent communicator, able to translate complex technical concepts into clear insights.

Why Apply?

* Lead high-profile digital transformation within a major local authority

* Influence strategy at a system-wide and national level

* Play a key role in shaping the future of public sector digital services

Related Jobs

View all jobs

Data Architect

Triad Milton Keynes, Buckinghamshire, United Kingdom

£75,000 – £80,000 pa Hybrid Clearance Required

Lead Data Scientist

Technify Talent Limited United Kingdom

£80,000 – £90,000 pa Remote

Principal Solutions Engineer Enablement Manager

Snowflake London, United Kingdom

Hybrid

Information Security Manager

GlobalData Plc Blackfriars, City And County Of the City Of London, EC4V 6BJ, United Kingdom

Lead Data Scientist - Deep Learning Practitioner

Capital One West Bridgford, Nottinghamshire, NG2 6BT, United Kingdom

Lead Data Scientist - Deep Learning Practitioner

Capital One Nottingham, Nottinghamshire, United Kingdom

Industry Insights

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

Apr 9, 2026

Products

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.

Apr 5, 2026

Jobs

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

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.

Mar 24, 2026

Jobs

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.