Head of Data Strategy EMAP

Experian Information Solutions, Inc.

London

1 day ago

Create job alert

Overview

We are looking for a Head of Data Strategy to build, shape and implement our data strategy across EMAP. This is an exciting and important position within EMAP, managing a team of 1. You will understand our current data sets and data capabilities and measure their effectiveness and ROI across 20+ diverse markets, and you will build a data strategy for each region, identifying the market opportunities, trends and competitors, and data opportunities. Experian EMAP is a challenger in these markets, using data to power software, AI, and technology to disrupt traditional models and become a market leader. This is a hands-on influential role. You will partner with senior leaders across each region to define a clear, forward-looking data strategy that aligns with Experian\'s global vision while addressing regional market dynamics. Your remit spans consumer credit bureaus, business information bureaus, and extends to supporting product strategy for Decisioning, Identity & Fraud, and Analytics software. You will be in one of the most influential roles in driving Experian\'s growth and transformation in EMAP. This role will require 10% of international travel.

Responsibilities

Management consulting experience or experience running strategic data or analytics consulting projects.
Extensive experience in data strategy or data management, building and executing a data strategy across global regions. Experience delivering transformative data projects.
Understanding of Data businesses - how to measure data scale, data quality, and data economics
Experience working in financial services or with credit risk solution providers, with an understanding of identity, fraud, and analytics products across the credit lifecycle.
Presence with Executive leaders and influencing - you will present to senior leaders across EMAP and globally
Lead data projects virtually and work across diverse geographies.
Deep understanding of the data-driven financial ecosystem and its role in promoting trust and growth.
Experience navigating regulatory environments and ensuring compliance in data governance and privacy.
Experience operating across multiple markets and cultures, driving consistency while adapting to local needs.

About Experian

Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to accomplish their financial goals and help them save time and money.

We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 25,000 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com.

Benefits

Hybrid working - 40% office based
Great compensation package including discretionary bonus
Core benefits include pension, bupa healthcare, sharesave scheme and more
25 days annual leave with 8 bank holidays and 3 volunteering days. You can purchase additional annual leave.

Culture and Equal Opportunity

Experian\'s culture and people are important differentiators. We take our people agenda very seriously and focus on what matters; DEI, work/life balance, development, authenticity, collaboration, wellness, reward and recognition, volunteering... the list goes on. Experian\'s people first approach is award-winning; World\'s Best Workplaces 2024 (Fortune Top 25), Great Place To Work in 24 countries, and Glassdoor Best Places to Work 2024 to name a few. Check out Experian Life on social or our Careers Site to understand why. Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is an important part of Experian\'s DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, colour, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.

Grade C/EB7 #LI-DS1 #LI-Hybrid Experian Careers - Creating a better tomorrow together

#J-18808-Ljbffr

Related Jobs

View all jobs

EMAP Data Strategy Lead

Head of Data Strategy & Partnerships

Head of Data Science & ML Engineering

Head of Data Engineering & DataOps Europe

Head of Data Analytics

Global Data Strategy Lead Analytics & BI (Remote)

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

Industry Insights

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

Feb 3, 2026

Jobs

What Hiring Managers Look for First in Data Science Job Applications (UK Guide)

If you’re applying for data science roles in the UK, it’s crucial to understand what hiring managers focus on before they dive into your full CV. In competitive markets, recruiters and hiring managers often make their first decisions in the first 10–20 seconds of scanning an application — and in data science, there are specific signals they look for first. Data science isn’t just about coding or statistics — it’s about producing insights, shipping models, collaborating with teams, and solving real business problems. This guide helps you understand exactly what hiring managers look for first in data science applications — and how to structure your CV, portfolio and cover letter so you leap to the top of the shortlist.

Jan 23, 2026

Education

The Skills Gap in Data Science Jobs: What Universities Aren’t Teaching

Data science has become one of the most visible and sought-after careers in the UK technology market. From financial services and retail to healthcare, media, government and sport, organisations increasingly rely on data scientists to extract insight, guide decisions and build predictive models. Universities have responded quickly. Degrees in data science, analytics and artificial intelligence have expanded rapidly, and many computer science courses now include data-focused pathways. And yet, despite the volume of graduates entering the market, employers across the UK consistently report the same problem: Many data science candidates are not job-ready. Vacancies remain open. Hiring processes drag on. Candidates with impressive academic backgrounds fail interviews or struggle once hired. The issue is not intelligence or effort. It is a persistent skills gap between university education and real-world data science roles. This article explores that gap in depth: what universities teach well, what they often miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in data science.

Jan 18, 2026

Careers Jobs

Data Science Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Thinking about switching into data science in your 30s, 40s or 50s? You’re far from alone. Across the UK, businesses are investing in data science talent to turn data into insight, support better decisions and unlock competitive advantage. But with all the hype about machine learning, Python, AI and data unicorns, it can be hard to separate real opportunities from noise. This article gives you a practical, UK-focused reality check on data science careers for mid-life career switchers — what roles really exist, what skills employers really hire for, how long retraining typically takes, what UK recruiters actually look for and how to craft a compelling career pivot story. Whether you come from finance, marketing, operations, research, project management or another field entirely, there are meaningful pathways into data science — and age itself is not the barrier many people fear.