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

Nominate & Attend

Data Governance Lead

TalkTalk
Greater Manchester
2 weeks ago
Create job alert

Fixed Term role for 1 Year

Job Summary:

We are looking for an experienced Data Governance Lead to drive enterprise-wide data governance initiatives with a focus on modern cloud data platforms, specifically Databricks and Microsoft Azure. This role will define and enforce data policies, standards, and best practices that ensure high data quality, security, and regulatory compliance across our data ecosystem. You will collaborate with cross-functional teams to embed governance into our cloud-based data architecture and analytics processes.

Key Responsibilities:

Develop and implement enterprise-level data governance frameworks, standards, and operating models, aligned with business objectives and compliance requirements.

Collaborate with data engineering and platform teams to integrate data governance within Databricks and Azure environments, including Data Lake, Synapse, and Purview.

Define and enforce data classification, access management, and lineage tracking using Azure-native and third-party tools.

Lead the Data Governance Council, facilitate stakeholder engagement, and ensure alignment across business, IT, compliance, and security teams.

Establish data quality metrics, rules, and monitoring mechanisms across cloud data pipelines and lakehouses.

Champion the use of metadata management, data catalogs (e.g., Azure Purview, Unity Catalog), and standardized business glossaries.

Provide governance oversight for data sharing and consumption in Databricks notebooks, Power BI reports, and machine learning workflows.

Drive awareness and adoption of governance policies through training, documentation, and data literacy programs.

Ensure data governance supports regulatory compliance, (e.g. GDPR) and internal risk frameworks.

Qualifications:

Required:

Bachelor's degree in Information Management, Computer Science, Business, or a related field.

5+ years of experience in data governance, data management, or data architecture.

Hands-on experience with Databricks and/or Microsoft Azure data services (e.g., Data Lake Storage, Synapse, Purview, Azure Data Factory).

Strong understanding of data governance frameworks such as DAMA-DMBOK.

Familiarity with data privacy, security, and compliance regulations.

Preferred:

Certifications in Azure (e.g., Azure Data Engineer, Azure Fundamentals) or Databricks (e.g., Lakehouse Fundamentals).

Experience with governance tools such as Azure Purview.

Knowledge of modern data platforms and data lakehouse architecture.

Excellent communication and leadership skills with the ability to influence across functions.

As a recognised Top 50 Inclusive Employer in the UK, we know that diversity means success and innovation. We want our workplace to reflect the communities and customer we serve. Being inclusive is part of our DNA; we are all 100% human, and we create a culture where you can truly be yourself.

We’re also not your usual 9-5. We are a dynamic workplace and we want to talk to you about how you like to work.

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.