Business Intelligence and Automation Director

London
1 week ago
Create job alert

Business Intelligence and Automation Director

CBRE Global Workplace Solutions is a leading global provider of integrated facilities and corporate real estate management. Do you enjoy working in an international environment in a company with a strong focus on growth? We are recruiting for an experienced Business Intelligence and Automations Director to join our Global Account Team within the Financial and Professional Services Sector.

Key Tasks:

Handling all digital transformation initiatives and leading the global analytics portfolio.
Building advanced dashboards, automated tools and scenario planning models to strategic decision-making.
Leading the decision-making process and the technological initiatives for the client and the internal CBRE team with full ownership of tableau and vantage analytics for all regions and across different service lines .
Working closely with the CBRE D&T Team for new technological developments and innovation adoption for the account as needed.
Mentor, supervise and cross-train the team and the client for high performing analytical demands.
Work with senior business partners to create policies and execute large corporate initiatives.
Design business metrics for accountability. This includes client rankings, aggregate portfolio additions, run-off, etc.
Oversee large and high-profile projects and coordinate the involvement of personnel from other departments and information technology groups.
Direct the end-to-end model development process from complex problem identification through data gathering, evaluation, gaining consensus, and implementation into business practice.
Track performance measurement, reporting, and campaign optimization. This includes performance vs. KPI, ROI, and consumer trends.
Prepare and present results of data review and reports along with their relative impact on the business to executive management.
Apply a robust knowledge of multiple disciplines, the business, and key drivers that impact departmental and cross-functional performance.
Lead by example and model behaviors that are consistent with CBRE RISE values. Persuade managers and other colleagues to take action while being guided by the organization's functional business plans.
Negotiate with external partners, vendors, and customers of divergent interests to reach a common goal.
Identify and solve multi-dimensional, complex, operational, and organizational problems leveraging the appropriate resources within or outside the department.
Significantly improves and changes existing methods, processes, and standards within job discipline.

What You'll Need:

Bachelor's Degree preferred with 8-12 years of relevant experience. In lieu of a degree, a combination of experience and education will be considered
Experience in the areas of staffing, selection, training, development, coaching, mentoring, measuring, appraising, and rewarding performance and retention is preferred.
Ability to lead the exchange of sensitive, complicated, and difficult information, convey performance expectations, and handle problems.
Leadership skills to set, manage and achieve targets with a direct impact on multiple department results within a function.
In-depth knowledge of Microsoft Office products. Examples include Word, Excel, Outlook, etc.
Expert organizational skills and an advanced inquisitive mindset.About CBRE Global Workplace Solutions:

As one of CBRE's core global businesses, Global Workplace Solutions (GWS) provides end-to-end services to occupier clients across the entire lifecycle of a building. Our teams help companies improve their operations and reduce costs, through expert facilities management, project management, real estate and energy and sustainability services. Our dedicated teams work across all industries, and support clients ranging from global Fortune 500 companies to single, iconic buildings.

Why CBRE:

When you join CBRE, you become part of the global leader in commercial real estate services and investment that helps businesses and people thrive. We are dynamic problem solvers and forward-thinking professionals who create significant impact. Our collaborative culture is built on our shared values - respect, integrity, service and excellence - and we value the diverse perspectives, backgrounds and skillsets of our people. At CBRE, you have the opportunity to chart your own course and realize your potential. We welcome all applicants.

Applicant AI Use Disclosure:

We value human interaction to understand each candidate's unique experience, skills and aspirations. We do not use artificial intelligence (AI) tools to make hiring decisions, and we ask that candidates disclose any use of AI in the application and interview process

Application Process:

Your application will be reviewed by our Talent Resourcing Team and you will be contacted if you have been successful in being short listed for the role.

No agencies please.

Please note: the job title shown above may be different to local job titles used in our business and issued on any contract of employment.

#GWSEMEA

Related Jobs

View all jobs

Director Business Intelligence

Data Engineer

Data Engineering & Tech Lead

Data Engineering & Tech Lead - Infected Blood Compensation Authority - G6

Data Engineering & Tech Lead - Infected Blood Compensation Authority - G6

Data Engineering & Tech Lead - Infected Blood Compensation Authority - G6

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.

New Data Science Employers to Watch in 2026: UK and International Companies Leading Analytics and AI Innovation

Data science has emerged as one of the most transformative forces across industries, turning raw information into actionable insights, predictive models, and AI-powered solutions. In 2026, the UK is witnessing a surge in organisations where data science is not just a support function but the core of their products and services. For professionals exploring opportunities on www.DataScience-Jobs.co.uk , identifying these employers early can provide a competitive advantage in a market with high demand for advanced analytics and machine learning expertise. This article highlights new and high-growth data science employers to watch in 2026, focusing on UK startups, scale-ups, and global firms expanding their data science operations locally. All of the companies included have recently raised investment, won high-profile contracts, or significantly scaled their analytics teams.

How Many Data Science Tools Do You Need to Know to Get a Data Science Job?

If you’re trying to break into data science — or progress your career — it can feel like you are drowning in names: Python, R, TensorFlow, PyTorch, SQL, Spark, AWS, Scikit-learn, Jupyter, Tableau, Power BI…the list just keeps going. With every job advert listing a different combination of tools, many applicants fall into a trap: they try to learn everything. The result? Long tool lists that sound impressive — but little depth to back them up. Here’s the straight-talk version most hiring managers won’t explicitly tell you: 👉 You don’t need to know every data science tool to get hired. 👉 You need to know the right ones — deeply — and know how to use them to solve real problems. Tools matter, but only in service of outcomes. So how many data science tools do you actually need to know to get a job? For most job seekers, the answer is not “27” — it’s more like 8–12, thoughtfully chosen and well understood. This guide explains what employers really value, which tools are core, which are role-specific, and how to focus your toolbox so your CV and interviews shine.

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.