Data Lead - Data Transformation Programme

Red King Resourcing

London, United Kingdom

Last month

Applications closed

Related Jobs

View all jobs

Data & Insight Lead

Tai Tarian Briton Ferry, West Glamorgan, SA11 2NH, United Kingdom

£65,000 pa On-site

Data Platform Manager

Deerfoot Recruitment Solutions Luton, Bedfordshire, United Kingdom

£70,000 pa Hybrid

Enterprise Account Exective - Observability

Snowflake London, United Kingdom

On-site

Data Delivery Lead

VIQU IT Clerkenwell, London, EC1R 0EA, United Kingdom

£90,000 – £100,000 pa Hybrid

Data Migration Lead

Opus People Solutions Northampton, Northamptonshire, United Kingdom

£600 pd Hybrid

Lead Data Scientist - Financial Crime

Data Idols Farringdon, Greater London, London, EC1M 4BJ, United Kingdom

£85,000 – £110,000 pa Hybrid

Seniority: Lead
Posted: 3 Apr 2026 (Last month)

Save job

Create job alert

Applications closed

Key Responsibilities

Programme Delivery

Lead delivery across multiple workstreams including platform, data ingestion, modelling, and reporting

Manage an outsourced delivery partner across scope, timelines, budget, and quality

Track KPIs, milestones, and governance forums (e.g. SteerCo, Design Authority)

Proactively manage risks, issues, and interdependencies

Data Architecture

Define, implement, and govern the target data architecture (platforms, data models, integrations)

Ensure alignment with enterprise architecture and strategic objectives

Review and challenge vendor designs to ensure quality and scalability

Drive best practices across:

Data modelling

Data pipelines

Storage (lakehouse/warehouse)

Metadata, lineage, and data quality

Operating Model

Align with and enhance data governance frameworks, ownership, and stewardship

Establish sustainable operating models and run-state processes

Support data lifecycle management and continuous improvement

Stakeholder Management

Act as the primary interface between client leadership and delivery partners

Engage with business functions including Underwriting, Claims, and Finance

Translate complex business requirements into effective data solutions

Provide clear, concise updates to senior stakeholders

Vendor Management

Hold vendors accountable for delivery performance and outcomes

Assess capability, resourcing, and collaboration effectiveness

Drive continuous improvement in delivery and partnership

Business Outcomes

Deliver measurable value including:

Enhanced underwriting insights

Improved reporting and regulatory compliance

Reduction in manual processes

Track business case progress and benefits realisation

Skills & Experience

Essential

15+ years' experience in data and analytics, including leadership roles

Strong expertise in data architecture and large-scale platform delivery

Proven experience managing third-party vendors

Experience within London Market or specialty insurance

Deep knowledge of modern data platforms (e.g. Azure, AWS, Snowflake, Databricks)

Strong understanding of data modelling, integration, governance, and data quality

Demonstrated programme delivery and governance experience

Desirable

Experience with underwriting, claims, or delegated authority data

Knowledge of insurance regulatory and reporting requirements

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)

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.

Apr 5, 2026

Jobs

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.

Mar 24, 2026

Jobs

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.