Group Director, Business Intelligence & Customer Master (Basé à London)

Jobleads
London
1 week ago
Applications closed

Related Jobs

View all jobs

Accounting Technician

Authorising Engineer (Technical Assurance)

Business Development Manager

Finance Business Partner - Supply Chain/Logistics background

Director of Artificial Intelligence - Manufacturing & Industrial

Director of Data Science & AI – Global Manufacturing Transformation

Group Director, Business Intelligence & Customer Master

Join to apply for theGroup Director, Business Intelligence & Customer Masterrole atMitel

Group Director, Business Intelligence & Customer Master

2 weeks ago Be among the first 25 applicants

Join to apply for theGroup Director, Business Intelligence & Customer Masterrole atMitel

At Mitel, you will have the opportunity to help businesses connect, collaborate and provide better experiences for our customers. You will deliver valuable contributions in creating business success within our global organization utilizing your unique attributes, skills and experience.

Please take a moment to look over this opportunity and if interested, feel free to send us your application. If this is not the right opportunity for you, you can also sign up for Job Alerts by creating an account. This will give you a profile that you can use for all future applications, and you will be notified whenever a new position that matches your criteria becomes available.

Overview

The Director of Business Intelligence & Customer Master is a strategic leadership role responsible for overseeing the development, implementation, and management of the organization’s Business Intelligence (BI) and Customer Master Data Management (MDM) initiatives. This role ensures the availability of accurate, consistent, and actionable data to drive business decisions, enhance customer experiences, and support organizational growth. The Director will lead cross-functional teams, collaborate with senior leadership, and align data strategies with business objectives.

Responsibilities

Business Intelligence (BI) Leadership

  • Develop and execute the organization’s BI strategy to enable data-driven decision-making.
  • Oversee the design, development, and maintenance of BI tools, dashboards, and reports.
  • Ensure the delivery of high-quality, timely, and actionable insights to stakeholders across the organization.
  • Identify key performance indicators (KPIs) and metrics to measure business performance.
  • Collaborate with business units to understand their data needs and provide tailored BI solutions.
  • Stay updated on emerging BI technologies and trends to drive innovation.

Customer Master Data Management (MDM)

  • Lead the development and governance of the Customer Master Data strategy to ensure a single, accurate, and unified view of customer data across the organization.
  • Establish and enforce data quality standards, policies, and procedures for customer data.
  • Partner with IT, marketing, sales, and customer service teams to integrate customer data across systems and platforms.
  • Drive the implementation of MDM tools and technologies to improve data accuracy, consistency, and accessibility.
  • Monitor and resolve data quality issues, ensuring compliance with data privacy regulations (e.g., GDPR, CCPA).

Team Leadership & Collaboration

  • Build, mentor, and lead a high-performing team of data analysts, BI developers, and data governance professionals.
  • Foster a culture of collaboration, innovation, and continuous improvement within the team.
  • Work closely with senior leadership to align BI and MDM initiatives with organizational goals.
  • Act as a trusted advisor to business units, providing strategic guidance on data-related matters.

Data Governance & Compliance

  • Establish and maintain a robust data governance framework to ensure data integrity, security, and compliance.
  • Collaborate with legal and compliance teams to ensure adherence to data privacy regulations and industry standards.
  • Develop and implement data stewardship programs to promote accountability and ownership of data assets.

Technology & Innovation

  • Evaluate and recommend BI and MDM tools, platforms, and technologies to enhance data capabilities.
  • Drive the adoption of advanced analytics, artificial intelligence (AI), and machine learning (ML) to unlock new insights from customer data.
  • Ensure seamless integration of BI and MDM solutions with existing systems and workflows.

Requirements

  • Bachelor’s degree in Data Science, Computer Science, Information Systems, Business Administration, or a related field. Master’s degree preferred.
  • 10+ years of experience in Business Intelligence, Data Management, or related fields, with at least 5 years in a leadership role.
  • Proven experience in Customer Master Data Management (MDM) and data governance.
  • Strong knowledge of BI tools (e.g., SAP BusinessObjects, SAP BW/4HANA, Tableau) and MDM platforms (e.g., SAP MDG, Salesforce CRM).
  • Experience with data integration, ETL processes, and data warehousing solutions.
  • This role may require occasional travel to other company locations or client sites.

For more information, visit Why Mitel or follow us on LinkedIn here.

Mitel is committed to achieving workforce diversity and creating an inclusive working environment.Diversity makes sense for us, for our customers and for our future. We value differentperspectives, skills and experiences, and welcome applications from all sections of the community.Seniority level

  • Seniority levelDirector

Employment type

  • Employment typeFull-time

Job function

  • Job functionBusiness Development and Sales
  • IndustriesTelecommunications

Referrals increase your chances of interviewing at Mitel by 2x

Get notified about new Director Business Intelligence jobs inLondon, England, United Kingdom.

London, England, United Kingdom 4 days ago

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 1 month ago

London, England, United Kingdom 2 weeks ago

City Of London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 1 week ago

London, England, United Kingdom 3 weeks ago

London, England, United Kingdom 1 month ago

London, England, United Kingdom 3 months ago

London, England, United Kingdom 6 days ago

Data Analytics Associate Director - Internal Offer Palak Bhargava

London, England, United Kingdom 1 month ago

Strategy and M&A Director, Advanced Analytics-R-245133

London, England, United Kingdom 3 days ago

Brentford, England, United Kingdom 1 day ago

London, England, United Kingdom 18 hours ago

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 1 day ago

Regional Commercial Analytics, Associate Director NEAD

London, England, United Kingdom 5 days ago

London, England, United Kingdom 1 day ago

London, England, United Kingdom 1 week ago

London, England, United Kingdom 1 day ago

London, England, United Kingdom 1 day ago

London, England, United Kingdom 6 days ago

London, England, United Kingdom 6 hours ago

London, England, United Kingdom 1 month ago

Greater London, England, United Kingdom 1 week ago

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 6 days ago

London, England, United Kingdom 1 month ago

Director, Business Development & Analytics (SaaS) - Remote

Salfords, England, United Kingdom 6 days ago

London, England, United Kingdom 5 days ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

#J-18808-Ljbffr

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

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

Jobs

Data Science Jobs at Newly Funded UK Start-ups: Q3 2025 Investment Tracker

Data science has become an indispensable cornerstone of modern business, driving decisions across finance, healthcare, e-commerce, manufacturing, and beyond. As organisations scramble to capitalise on the insights their data can offer, data scientists and machine learning (ML) experts find themselves in ever-higher demand. In the UK, which has cultivated a robust ecosystem of tech innovation and academic excellence, data-driven start-ups continue to blossom—fuelled by venture capital, government grants, and a vibrant talent pool. In this Q3 2025 Investment Tracker, we delve into the newly funded UK start-ups making waves in data science. Beyond celebrating their funding milestones, we’ll explore the job opportunities these investments have created for aspiring and seasoned data scientists alike. Whether you’re interested in advanced analytics, NLP (Natural Language Processing), computer vision, or MLOps, these start-ups might just offer the career leap you’ve been waiting for.

Jobs

Portfolio Projects That Get You Hired for Data Science Jobs (With Real GitHub Examples)

Data science is at the forefront of innovation, enabling organisations to turn vast amounts of data into actionable insights. Whether it’s building predictive models, performing exploratory analyses, or designing end-to-end machine learning solutions, data scientists are in high demand across every sector. But how can you stand out in a crowded job market? Alongside a solid CV, a well-curated data science portfolio often makes the difference between getting an interview and getting overlooked. In this comprehensive guide, we’ll explore: Why a data science portfolio is essential for job seekers. Selecting projects that align with your target data science roles. Real GitHub examples showcasing best practices. Actionable project ideas you can build right now. Best ways to present your projects and ensure recruiters can find them easily. By the end, you’ll be equipped to craft a compelling portfolio that proves your skills in a tangible way. And when you’re ready for your next career move, remember to upload your CV on DataScience-Jobs.co.uk so that your newly showcased work can be discovered by employers looking for exactly what you have to offer.

Jobs Careers

Data Science Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

Data science has become one of the most sought‑after fields in technology, leveraging mathematics, statistics, machine learning, and programming to derive valuable insights from data. Organisations across every sector—finance, healthcare, retail, government—rely on data scientists to build predictive models, understand patterns, and shape strategy with data‑driven decisions. If you’re gearing up for a data science interview, expect a well‑rounded evaluation. Beyond statistics and algorithms, many roles also require data wrangling, visualisation, software engineering, and communication skills. Interviewers want to see if you can slice and dice messy datasets, design experiments, and scale ML models to production. In this guide, we’ll explore 30 real coding & system‑design questions commonly posed in data science interviews. You’ll find challenges ranging from algorithmic coding and statistical puzzle‑solving to the architectural side of building data science platforms in real‑world settings. By practising with these questions, you’ll gain the confidence and clarity needed to stand out among competitive candidates. And if you’re actively seeking data science opportunities in the UK, be sure to visit www.datascience-jobs.co.uk. It’s a comprehensive hub featuring junior, mid‑level, and senior data science vacancies—spanning start‑ups to FTSE 100 companies. Let’s dive into what you need to know.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.