At a Glance
- Tasks: Drive enterprise transformation through strategic client partnerships and innovative AI solutions.
- Company: Join Datatonic, a leading AI consultancy and Google Cloud partner.
- Benefits: Enjoy 25 days holiday, private health insurance, gym discounts, and a hybrid work model.
- Other info: Work with a team of AI enthusiasts and access learning platforms for growth.
- Why this job: Be at the forefront of AI and data, making a real impact in a fast-paced environment.
- Qualifications: Proven experience in enterprise consulting and a passion for technology.
The predicted salary is between 43200 - 72000 £ per year.
Shape the Future of AI & Data with Us. At Datatonic, we are Google Cloud's premier partner in AI, driving transformation for world‑class businesses. We push the boundaries of technology with expertise in machine learning, data engineering, and analytics on Google Cloud Platform (GCP). By partnering with us, clients future‑proof their operations, unlock actionable insights, and stay ahead of the curve in a rapidly evolving world.
The Mission: Driving Enterprise Transformation. We are a rapidly scaling Data & AI consultancy, and we are looking for a Senior Client Partner to join our team. This is not a standard account management role. We seek a strategic leader who thrives on long‑term, transformational journeys with enterprise clients, delivering multi‑million‑pound engagements that redefine their business through data and AI. You will be the commercial and strategic nexus of our significant client relationships. This role requires exceptional experience in navigating complex corporate landscapes and a desire to be an owner in a fast‑paced, high‑growth scale‑up environment. If chaos and change excite you, and you have a proven track record of selling and expanding huge pieces of technical work, let’s talk.
What You Will Deliver: As a Senior Client Partner, your focus is on driving strategic revenue through deeply embedded, high‑value relationships:
- Own the Transformation Pipeline: Strategically identify, qualify, and land new enterprise clients, demonstrating where our Data & AI expertise can deliver unprecedented, measurable business value.
- Deepen Enterprise Accounts: Develop and execute comprehensive 1‑3 year account plans for existing clients, proactively mapping out the next phase of their transformation journey and expanding our footprint through strategic follow‑on engagements.
- Navigate the C‑Suite: Establish and maintain trusted‑advisor relationships with C‑level and SVP stakeholders across technology, product, finance, and business units, acting as the commercial lead for all Master Services Agreements (MSAs) and strategic contract negotiations.
- Commercial Leadership & Value Realisation: Ensure every piece of work (new and existing) is scoped, priced, and delivered to a standard that guarantees client success, enabling you to articulate the ROI and secure continuous investment.
- Scale‑Up Growth Owner: Balance the pursuit of new logos with the exponential growth of current accounts, serving as a proactive force for revenue generation in a dynamic, high‑ambiguity setting.
What You Will Bring: Proven Enterprise Consulting Experience: Significant professional experience in a client‑facing role, specifically selling and leading multi‑year, strategic engagements within the Data, AI, or advanced Technology Consulting space. Scale‑Up DNA: A genuine enthusiasm for working in a fast‑paced, high‑growth, scale‑up environment. You must be resilient, adaptable, and see opportunity in rapid change and operational fluidity. Strategic Relationship Architect: Demonstrated ability to build sophisticated stakeholder maps, navigate complex decision‑making processes within large organisations, and exert influence across technical and commercial functions (Engineering, Data Science, Product, C‑Suite). Value‑Driven Commercial Leader: A track record of identifying business pain points and translating complex technical solutions (e.g., ML platforms, GenAI strategy, Big Data architecture) into clear, compelling business outcomes and financial justifications. Consultative Approach: Exceptional “listen‑first” skills, with the ability to lead the conversation, tailor messaging to different audiences, and challenge client assumptions constructively.
A Powerful Differentiator: Deep Domain Expertise: Extensive experience managing and growing enterprise‑level accounts in sectors such as TMT (Technology, Media, Telecom), Retail, CPG, or Finance. Infectious Technical Passion: A true passion for modern technology. You are genuinely enthusiastic about the practical application of AI, Machine Learning, and Cloud Data Analytics, and you communicate this passion effectively to both technical and non‑technical audiences.
What’s in It for You? Holiday: 25 days plus bank holidays (obviously!) Health Perks: Private health insurance (Vitality Health) and Smart Health Services Fitness & Wellbeing: 50% gym membership discounts (Nuffield Health, Virgin Active, Pure Gym). Hybrid Model: A WFH allowance to keep you comfortable. Learning & Growth: Access to platforms like Udemy to fuel your curiosity.
Why Datatonic? Join us to work alongside AI enthusiasts and data experts who are shaping tomorrow. At Datatonic, innovation isn’t just encouraged—it’s embedded in everything we do. If you’re ready to inspire change and deliver value at the forefront of data and AI, we’d love to hear from you! Are you ready to make an impact? Apply now and take your career to the next level.
Client Partner in Harrow employer: Datatonic
Datatonic is an exceptional employer that fosters a vibrant and innovative work culture, perfect for those passionate about cloud technologies and DevOps practices. With a strong emphasis on employee growth, you will have ample opportunities to enhance your skills while working alongside talented teams on cutting-edge projects for prestigious clients. Located in a dynamic scale-up environment, Datatonic offers a unique chance to make a significant impact in the tech landscape while enjoying a collaborative and supportive atmosphere.
StudySmarter Expert Advice🤫
We think this is how you could land Client Partner in Harrow
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We think you need these skills to ace Client Partner in Harrow
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at Datatonic, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Datatonic. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Datatonic
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
