Data Governance and Delivery Manager

Macquarie Group Limited
London
4 days ago
Create job alert
Overview

drive regional data governance activities, including run regular governance forums by shaping agendas, preparing materials and ensuring clear, actionable outcomes. You develop structured reporting for senior EMEA leaders, providing insight into progress, risk themes and data quality trends. You contribute to regulatory inspections and supervisory interactions by preparing data management packs, audit responses and Board level materials, and you support divisional operations through portfolio tracking, governance alignment and clear communication. You help influence global data governance policies and support the rollout of enterprise tools by advising on regional requirements. You also create and maintain dashboards, KPIs and control analyses to enhance visibility of data risks, partnering with Data Offices, Risk, Technology and business teams to ensure issues are identified, analysed and remediated. In all aspects of the role, you help embed a culture of accountable data ownership.

What you offer
  • Ability to prepare high quality presentations and written materials tailored for senior audiences
  • Experience in management consulting, data governance, data management or regulatory reporting within financial services
  • Strong analytical and problem solving skills, with the ability to identify region specific business requirements
  • Familiarity with tools such as Power BI or Collibra for data analysis or metadata management
  • Strong attention to detail and the ability to work independently while managing multiple priorities in a fast paced environment
What we offer

At Macquarie, you\'re empowered to shape a career that\'s rewarding in all the ways that matter most to you. Macquarie employees can access a wide range of benefits which, depending on eligibility criteria, include wellbeing leave and paid time off, parental leave, fertility leave, volunteering leave, donation matching, and a variety of health, wellbeing and learning benefits. Benefits may vary by eligibility.

About Corporate Operations Group

In our Corporate Operations Group, you will work at the heart of Macquarie to deliver for our people, businesses, and their customers. We\'re a global, collaborative team with deep expertise in technology, data, digital, market operations, corporate real estate, business resilience, procurement and global security.

Our commitment to diversity, equity and inclusion

We are committed to providing a working environment that embraces diversity, equity, and inclusion. We encourage people from all backgrounds to apply regardless of their identity, including age, disability, neurodiversity, gender (including gender identity or expression), sexual orientation, marriage or civil partnership, pregnancy, parental status, race (including ethnic or national origin), religion or belief, or socio-economic background. We welcome further discussions on how you can feel included and belong at Macquarie as you progress through our recruitment process. Our aim is to provide reasonable adjustments to individuals as required during the recruitment process and in the course of employment. If you require additional assistance, please let us know during the application process.

Role summary

Help shape the future of trusted, high quality data across Macquarie\'s EMEA region. In this role, you strengthen the foundations that enable reliable reporting, regulatory compliance and informed decision making, working at the intersection of data governance, delivery and senior stakeholder engagement. You\'ll be part of a collaborative team delivering the Data Governance and Delivery Manager responsibilities, coordinating and delivering the division\'s operational activities and data governance across the region, with support for divisional portfolio tracking, COO reporting, communications, and cross regional alignment.


#J-18808-Ljbffr

Related Jobs

View all jobs

Data Governance and Privacy Manager

Data Governance and Privacy Manager - Government Digital Service - SEO

Data Governance and Privacy Manager - Government Digital Service - SEO

Data Governance and Privacy Office Manager

Data Governance and Privacy Office Manager

Data Governance Manager

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.

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.

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.

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.