Business Director

Tbwa Chiat/Day Inc
London
1 month ago
Applications closed

Related Jobs

View all jobs

Business Development Director

Technical Director

Director of Engineering - Advanced Analytics

Product Director - Digital Health

Business Development Manager (Staffing Solutions)

Business Development Manager (Staffing Solutions)

Established in 2004,

OLIVER

is the world’s first and only specialist in designing, building, and running bespoke in-house agencies and marketing ecosystems for brands. We partner with over 300 clients in 40+ countries and counting. Our unique model drives creativity and efficiency, allowing us to deliver tailored solutions that resonate deeply with audiences.

Maximise your chances of a successful application to this job by ensuring your CV and skills are a good match.As a part of

The Brandtech Group , we're at the forefront of leveraging cutting-edge AI technology to revolutionise how we create and deliver work. Our

AI solutions

enhance efficiency, spark creativity, and drive insightful decision-making, empowering our teams to produce innovative and impactful results.Role:

Business DirectorLocation:

London, England, United KingdomAbout the role:

Working in partnership with our client and our large, multi-talented team, our Business Director will lead our core team on some exciting, high profile projects and the creation of powerful, impactful and effective comms for two of the most famous UK brands.You’ll be line managing two Senior Account Directors, two Account Directors and their teams as well as developing great relationships with our fabulous clients. We’ll expect you to draw on your strategic direction, team leadership, client management and strong operational skills to guide and support the team across a broad scope spanning multiple channels, products and audiences, driving best in class campaigns and programmes across the brand.You’ll report into our Managing Partner and be part of a 15 strong Client Services team working alongside our multi-disciplinary creative and production teams as well as our Traffic guardians who ensure we are efficient as well as brilliant.What you will be doing:

Working collaboratively with our client teams to deliver high profile marketing projects across different channels.Identifying ways we can grow the business – for us and our clients. You’ll have an entrepreneurial spirit, both proactive and commercial.Leading the continual transformation and development of the team to be ever-better.Ensuring our client experience is as positive as possible. Encouraging a positive, proactive solution first attitude, with clear communication in person, supported by documentation in email.Building strong relationships with our core team, the wider Oliver team and all your clients.Leading the team by example, helping them be better every day and keeping client centricity at the core of the team culture and values.Taking the lead on projects where we are first – either in absolute terms or in our clients’ world – and relishing the challenge this presents.Driving the scoping, set up, resourcing and implementation of large projects ensuring the right team is activated and the projects are set up for success.Influencing and inspiring your team to deliver projects to an impeccable standard – you’ll be accountable for the timely delivery of projects, and the escalation point for project leads where this might not be the case.Leading and managing your team and projects in terms of profitability, forecasting, client budget management and tracking.What you need to be great in this role:

Excellent people and client engagement skills with the ability to proactively organise, influence and lead clients, building strong and effective working relationships.Excellent account leadership skills with financial and commercial acumen and experience of managing large budgets and teams in an agency context.Excellent at connecting business strategy with creative solutions, always focused on delivering work that meets client objectives.An entrepreneurial spirit with great problem-solving skills and a can-do personality.First-rate communication and storytelling skills, in person, on camera, in email and on ppt.Strong creative appreciation with the ability to generate ideas and practically contribute to the end-to-end creative process.The confidence, empathy and pragmatism to allow you to stand up for what we think is creatively and strategically right.The ability to manage and develop a team and grow our business.10 years+ agency experience; already working at or very near Business Director level on a big piece of business.Proven track record of experience in Financial Services or managing complex, high profile and large-scale accounts in regulated and/or corporate industries, such as utilities or telecoms.Experience across the full range of marketing channels and platforms - from TV and DOOH to email, social and performance.Experience leading large cross-functional teams across multiple disciplines.Our values shape everything we do:Be

Imaginative

to push the boundaries of what’s possible.Be

always learning and listening

to understand.Be

actively pro-inclusive and anti-racist

across our community, clients and creations.OLIVER, a part of the Brandtech Group, is an equal opportunity employer committed to creating an inclusive working environment where all employees are encouraged to reach their full potential, and individual differences are valued and respected.OLIVER has set ambitious environmental goals around sustainability, with science-based emissions reduction targets.Apply for this job#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.

Negotiating Your Machine Learning Job Offer: Equity, Bonuses & Perks Explained

How to Secure a Compensation Package That Matches Your Technical Mastery and Strategic Influence in the UK’s ML Landscape Machine learning (ML) has rapidly shifted from an emerging discipline to a mission-critical function in modern enterprises. From optimising e-commerce recommendations to powering autonomous vehicles and driving innovation in healthcare, ML experts hold the keys to transformative outcomes. As a mid‑senior professional in this field, you’re not only crafting sophisticated algorithms; you’re often guiding strategic decisions about data pipelines, model deployment, and product direction. With such a powerful impact on business results, companies across the UK are going beyond standard salary structures to attract top ML talent. Negotiating a compensation package that truly reflects your value means looking beyond the numbers on your monthly payslip. In addition to a competitive base salary, you could be securing equity, performance-based bonuses, and perks that support your ongoing research, development, and growth. However, many mid‑senior ML professionals leave these additional benefits on the table—either because they’re unsure how to negotiate them or they simply underestimate their long-term worth. This guide explores every critical aspect of negotiating a machine learning job offer. Whether you’re joining an AI-focused start-up or a major tech player expanding its ML capabilities, understanding equity structures, bonus schemes, and strategic perks will help you lock in a package that matches your technical expertise and strategic influence. Let’s dive in.

Machine Learning Jobs in the Public Sector: Opportunities Across GDS, NHS, MOD, and More

Machine learning (ML) has rapidly moved from academic research labs to the heart of industrial and governmental operations. Its ability to uncover patterns, predict outcomes, and automate complex tasks has revolutionised industries ranging from finance to retail. Now, the public sector—encompassing government departments, healthcare systems, and defence agencies—has become an increasingly fertile ground for machine learning jobs. Why? Because government bodies oversee vast datasets, manage critical services for millions of citizens, and must operate efficiently under tight resource constraints. From using ML algorithms to improve patient outcomes in the NHS, to enhancing cybersecurity within the Ministry of Defence (MOD), there’s a growing demand for skilled ML professionals in UK public sector roles. If you’re passionate about harnessing data-driven insights to solve large-scale problems and contribute to societal well-being, machine learning jobs in the public sector offer an unparalleled blend of challenge and impact. In this article, we’ll explore the key reasons behind the public sector’s investment in ML, highlight the leading organisations, outline common job roles, and provide practical guidance on securing a machine learning position that helps shape the future of government services.

Contract vs Permanent Machine Learning Jobs: Which Pays Better in 2025?

Machine learning (ML) has swiftly become one of the most transformative forces in the UK technology landscape. From conversational AI and autonomous vehicles to fraud detection and personalised recommendations, ML algorithms are reshaping how organisations operate and how consumers experience products and services. In response, job opportunities in machine learning—including roles in data science, MLOps, natural language processing (NLP), computer vision, and more—have risen dramatically. Yet, as the demand for ML expertise booms, professionals face a pivotal choice about how they want to work. Some choose day‑rate contracting, leveraging short-term projects for potentially higher immediate pay. Others embrace fixed-term contract (FTC) roles for mid-range stability, or permanent positions for comprehensive benefits and a well-defined career path. In this article, we will explore these different employment models, highlighting the pros and cons of each, offering sample take‑home pay scenarios, and providing insights into which path might pay better in 2025. Whether you’re a new graduate with a machine learning degree or an experienced practitioner pivoting into an ML-heavy role, understanding these options is key to making informed career decisions.