National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Data Governance Lead

Fractal
Greater London
2 months ago
Create job alert

It's fun to work in a company where people truly BELIEVE in what they are doing!

Data Governance Lead

Location - London

Fractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets. An ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite is the one who empowers imagination with intelligence. Fractal has been featured as a Great Place to Work by The Economic Times in partnership with the Great Place to Work® Institute and recognized as a ‘Cool Vendor’ and a ‘Vendor to Watch’ by Gartner.

Please visit for more information about Fractal


You will be part of the Data Governance team working on Data Strategy, Data Analytics, Data Quality, Data Privacy and Data Security. Supporting the Data Governance Team of Consultants in different phases of the project including problem definition, effort estimation, diagnosis, solution generation, design and participate in unit level and organization level initiatives with the objective of providing high quality and value adding consulting solutions to customers within the guidelines, policies and norms of Fractal.


Responsibilities:

Conduct secondary research on Data Governance, Data Management and Data Strategy related topics, which would help identify problem areas in order to assist in identifying the problem Conduct secondary research to provide data points on effort estimation and proposal development Conduct As-Is assessment of customer’s current state and prepare input and roadmap for next phase of the project Understand solutions recommended and explore alternatives based on research (literature survey, information in public domains, vendor information), provide inputs in building POCs and seek reviews in order to assist in providing solution alternatives Collaborate with clients to understand their business objectives and data challenges, and develop comprehensive data governance strategies aligned with their specific needs. Support leadership in designing thought leadership in establishing data governance policies, procedures, and frameworks that ensure the effective management, privacy, and security of data assets. Expertise in working with data and analytics with a data oriented mindset to support data driven decision making

Qualifications:

Basic understanding of data governance best practices, data quality management, data privacy regulations Data Governance, Data quality, Data cataloging Data observability, Data privacy Familiarity with AI, machine learning, and analytics technologies Knowledge of SQL or any other database Strong analytical and problem-solving skills, with the ability to address complex data governance challenges. Excellent communication and interpersonal skills to collaborate effectively with clients and internal teams.

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

Not the right fit? Let us know you're interested in a future opportunity by clickingin the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!

Related Jobs

View all jobs

Data Governance Lead

Data Governance Lead

Data Governance Lead

Data Governance Lead

Data Governance Lead

Data Governance Lead

National AI Awards 2025

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.

How to Get a Better Data Science Job After a Lay-Off or Redundancy

Redundancy can be tough to face, especially in a competitive field like data science. But it’s important to know: your experience, analytical thinking, and modelling skills are still in demand. Across sectors like healthcare, finance, e-commerce, government and AI startups, UK employers continue to seek data scientists who can deliver value through insight, prediction, and automation. This guide will walk you through how to bounce back from redundancy with purpose and clarity—whether you're a data analyst looking to step up, a mid-level data scientist, or a machine learning specialist seeking a better-aligned opportunity.

Data Science Jobs Salary Calculator 2025: Find Out What You Should Earn in the UK

Why last year’s pay survey is already out of date for UK data scientists “Am I being paid enough?” Every data professional eventually asks that question—often after a teammate reveals a hefty counter‑offer, a recruiter shares a six‑figure opening, or a headline trumpets the latest multimillion‑pound AI investment. Yet salary guides published even twelve months ago belong in a museum. Generative‑AI hype re‑priced Machine‑Learning Engineer roles, LLM fine‑tuning turned Prompt Engineering into a genuine career path, & fresh regulation forced companies to hire Responsible‑AI Officers on senior‑scientist money. To cut through the noise, DataScience‑Jobs.co.uk distilled a transparent, three‑factor formula. Insert your role, your region, & your seniority, and you’ll get a realistic 2025 salary benchmark—no stale averages, no vague ranges. This article walks you through the formula, examines the forces pushing data‑science pay ever higher, and offers five concrete actions to boost your market value within ninety days.

How to Present Data Science Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

The ability to communicate clearly is now just as important as knowing how to build a predictive model or fine-tune a neural network. In fact, many UK data science job interviews are now designed to test your ability to explain your work to non-technical audiences—not just your technical competence. Whether you’re applying for your first data science role or moving into a lead or consultancy position, this guide will show you how to structure your presentation, simplify technical content, design effective visuals, and confidently answer stakeholder questions.