Client Partner

dentsu
London
9 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer - Databricks

AI Engineer - Machine Learning LLM

AI Engineer - Machine Learning LLM

AI Engineer - Machine Learning LLM

Senior Data Engineer - MS Fabric - Remote - £70k - £75k

Data Scientist - Gen AI - Remote

Company Description

About Merkle

Merkle, a dentsu company, powers the experience economy. For more than 35 years, the company has put people at the heart of its approach to digital business transformation. As the only integrated experience consultancy in the world with a heritage in data science and business performance, Merkle delivers holistic, end-to-end experiences that drive growth, engagement, and loyalty. Merkle’s expertise has earned recognition as a “Leader” by top industry analyst firms, in categories such as digital transformation and commerce, experience design, engineering and technology integration, digital marketing, data science, CRM and loyalty, and customer data management. With more than 16,000 employees, Merkle operates in 30+ countries throughout the Americas, EMEA, and APAC. For more information, visit . 

Job Description

The Role

Due to client growth, we are seeking a new Client Partner to join our Client Services team to cohesively offer and build more integrated offerings to our clients across the Merkle capabilities set. This is a strategic client growth role requiring a deep knowledge across multiple technology solutions.

In this role, you will focus on enterprise clients of Merkle Ireland where there is an opportunity to grow our offering across various practice areas. Working closely with the existing team to understand the customer landscape, you will identify new strategic opportunities for the client demonstrating the value this will bring to them.

The suitable candidate will have a strong background in CRM, data, analytics, digital media and marketing technologies with significant demonstrable experience of growing client accounts and cross selling opportunities.

This role requires the ability to work across our end to end service you will not be a deep dive expert in all these areas you will have the ability to thread these components together to drive growth on your clients. This person would lead and be expected to engage across our capability leads driving value add to clients and revenue growth for Merkle Ireland so must have a commercially focused outlook.

Life as a Client Partner at Merkle

The Client Partner is an invaluable and extended member of the client’s team. You should expect to be in client meetings at least 50% of your time, with the client requesting more once they see the value of your servicesCuriosity and the desire to learn and be an expert in all elements of technology is a must. You are not a subject matter expert, but you are a connector to the broader Merkle teams and must be excited at bringing new capabilities to your clients. People should want to work on your clients. You’re driving change and innovation for your client AND within the Merkle business; which makes your teams an exciting place to grow careers. Client satisfaction is the most important metric, truly happy clients trust you with more work. You are actively challenging the client and bringing new opportunities as their partner. You should be comfortable getting into detail of the existing solution when required but also leading a pitch for a new opportunity We operate in a fast moving, ever changing category. Technology and client expectations move daily. The client partner is an avid industry news reader and seeks opportunities to expand their knowledge in the people-based marketing space.You are commercially responsible for growth and marginand see this as an integral part of your role. Profitability is critical and you must always on top of your book of business. Finally, you will be excited by sales. This role is not about managing a client, but growing your clients through new services. This must be a craving, not a job to be done. Your KPIs are clear around revenue, margin contribution and growth. To deliver that, you must be a sales orientated individual.

Qualifications

What we are looking for in you

Significant experience working with CRM technologies, tools, databases, cloud based solutions, data and digital. Experience working with enterprise clients across a variety of industries would be highly advantageous. Within this, strong evidence of your ability to grow client accounts and cross sell opportunities to increase revenue. Well versed in commercial pricing and delivery models. A trusted partner to clients who see you as their go to person to deliver all their needs. Attention to detail and a focus on delivery as well as your commercials. Motivated, self-starters need only apply. Merkle is a fast paced and challenging organisation. You must not wait for solutions; the expectation is that you deliver them. Proactivity and salesmanship is critical to this role. You are not managing a client, you are building a strategic platform for your client and driving Merkle value add into the client’s business. Active listening is the difference between a Client Partner and the role of an Account Manager. Active listening means knowing the difference between a request from the client and motivation of the ask, which is often a far more strategic challenge. Knowing when to challenge the request and/or delve deeper into what is being asked is critical and ensure Merkle is a strategic partner aligned and delivering against the client’s business strategy. Natural curiosity and openness, with a big dose of fun, is what will make you successful. The solutions we deliver are big and the strategies behind them can be exhausting, so knowing how to have fun will go a long way and ensure you’re a leader in this highly competitive client marketplace

Additional Information

What we'll give to you:

This is a permanent role. The team is based in our London office but operates under flexible working arrangements. The team are in the office twice a week. Whether it's the joy of working with people at the top of their game or the Dentsu social calendar, people love working here – and we hope you will too

Flexible hybrid working with wonderful central London office location Career development through Dentsu University and other tools; with access to courses, textbooks, mentorship, and external training funding Private Medical Insurance, Company Pension, life insurance, and other corporate benefits A selection of other benefits includes 3 wellness days, birthday day off and 2 volunteer days.

Diversity, Equity & Inclusion

Dentsu does not discriminate against job applicants on the basis of age, disability, gender reassignment, marital or civil partner status, pregnancy or maternity, race, colour, nationality, ethnic or national origin, religion or belief, sex or sexual orientation. Experience stipulated in this job description serves as a guide only and all applications will be considered on their merits, irrespective of experience.

As part of our Diversity and Inclusion agenda, and as an Equal Opportunities employer, if you require reasonable adjustments during the selection process please engage directly with your Recruiter.

To Apply 

To apply for this role, please click the apply now button where you will be redirected to our careers site to complete a few further details. 

#LI-Hybrid

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.

Portfolio Projects That Get You Hired for Machine Learning Jobs (With Real GitHub Examples)

In today’s data-driven landscape, the field of machine learning (ML) is one of the most sought-after career paths. From startups to multinational enterprises, organisations are on the lookout for professionals who can develop and deploy ML models that drive impactful decisions. Whether you’re an aspiring data scientist, a seasoned researcher, or a machine learning engineer, one element can truly make your CV shine: a compelling portfolio. While your CV and cover letter detail your educational background and professional experiences, a portfolio reveals your practical know-how. The code you share, the projects you build, and your problem-solving process all help prospective employers ascertain if you’re the right fit for their team. But what kinds of portfolio projects stand out, and how can you showcase them effectively? This article provides the answers. We’ll look at: Why a machine learning portfolio is critical for impressing recruiters. How to select appropriate ML projects for your target roles. Inspirational GitHub examples that exemplify strong project structure and presentation. Tangible project ideas you can start immediately, from predictive modelling to computer vision. Best practices for showcasing your work on GitHub, personal websites, and beyond. Finally, we’ll share how you can leverage these projects to unlock opportunities—plus a handy link to upload your CV on Machine Learning Jobs when you’re ready to apply. Get ready to build a portfolio that underscores your skill set and positions you for the ML role you’ve been dreaming of!

Machine Learning Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

Machine learning is fuelling innovation across every industry, from healthcare to retail to financial services. As organisations look to harness large datasets and predictive algorithms to gain competitive advantages, the demand for skilled ML professionals continues to soar. Whether you’re aiming for a machine learning engineer role or a research scientist position, strong interview performance can open doors to dynamic projects and fulfilling careers. However, machine learning interviews differ from standard software engineering ones. Beyond coding proficiency, you’ll be tested on algorithms, mathematics, data manipulation, and applied problem-solving skills. Employers also expect you to discuss how to deploy models in production and maintain them effectively—touching on MLOps or advanced system design for scaling model inferences. In this guide, we’ve compiled 30 real coding & system‑design questions you might face in a machine learning job interview. From linear regression to distributed training strategies, these questions aim to test your depth of knowledge and practical know‑how. And if you’re ready to find your next ML opportunity in the UK, head to www.machinelearningjobs.co.uk—a prime location for the latest machine learning vacancies. Let’s dive in and gear up for success in your forthcoming interviews.

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.