At a Glance
- Tasks: Lead the transformation of agentic AI for top global brands and shape marketing strategies.
- Company: Join WPP, a leader in marketing innovation and creativity.
- Benefits: Competitive salary, diverse team culture, and opportunities for global collaboration.
- Other info: Work with a diverse team of over 1000 specialists from 55+ nationalities.
- Why this job: Be at the forefront of AI technology and make a real impact on industry transformation.
- Qualifications: Proven leadership in AI/ML, strong client engagement skills, and strategic mindset.
The predicted salary is between 80000 - 100000 £ per year.
WPP is the trusted growth partner for the world’s leading brands. We unite cutting‑edge media intelligence and data solutions, world‑class creativity, next‑generation production, transformative enterprise solutions and expert strategic counsel in a single company – powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth.
This is a rare opportunity for a visionary leader to help define and build a critical part of our global marketing transformation engine. As Head of Agentic AI at VML MAP, WPP's global centre of excellence for CRM, loyalty, and personalization, you will lead the charge in translating agentic AI from experimental technology into scaled, outcome‑based transformation for some of the world’s most admired brands. This is not a research role or an internal innovation title. You will work directly with CMOs, COOs, and CIOs at enterprise clients, architecting multi‑agent systems that redesign how marketing, data, and operations work, with humans in the loop and measurable business outcomes at the centre.
Responsibilities:
- Shaping Executive‑Level Strategy & Vision: Directly engaging with C‑suite clients (CMOs, COOs, CIOs) to co‑create their long‑term marketing, data, and operations strategies, positioning agentic AI as the core driver of their future transformation.
- Orchestrating Global AI Transformation Programs: Defining the strategic roadmap and overseeing the execution of multi‑million dollar, multi‑year agentic AI programs, ensuring alignment across client organizations and VML's global network to deliver measurable, industry‑redefining outcomes.
- Building & Nurturing Strategic Partnerships: Forging deep relationships with key stakeholders across WPP Open and VML's global ecosystem to unlock cutting‑edge capabilities and secure the necessary resources and intellectual capital to deliver groundbreaking client solutions.
- Defining and Validating Outcome Frameworks: Establishing robust frameworks for measuring the transformative business impact of agentic AI deployments, continually refining strategic approaches based on high‑level performance data and market intelligence to ensure continuous value creation.
- Pioneering the Future of Agentic AI: Acting as a leading voice and architect in the field, influencing industry discourse, identifying emergent opportunities for applying agentic AI at scale, and continually pushing the boundaries of what’s possible for some of the world’s most admired brands.
Qualifications:
- Visionary Leadership: Proven track record in leading, scaling, and inspiring high‑performing AI/ML teams, ideally within a global or client‑facing consultancy environment.
- Deep Agentic AI Expertise: Extensive hands‑on experience and a profound understanding of agentic AI systems, multi‑agent frameworks, large language models (LLMs), and related tooling (e.g., LangChain, AutoGen, CrewAI).
- Exceptional Client Acumen: A natural ability to engage with, influence, and build strong relationships with senior‑level global clients.
- Strategic & Commercial Mindset: Demonstrated capability to identify, architect, and deliver agentic AI solutions that generate tangible business outcomes, competitive advantage, and significant ROI for clients.
- Technical Authority: A robust technical background to guide sophisticated development efforts and uphold best practices across our multi‑agent workflow implementations.
- Innovation Driver: A fervent passion for staying at the absolute forefront of AI research, actively evaluating emerging technologies, and pushing the boundaries to develop proprietary agentic IP and methodologies.
- Global Collaboration & Influence: Experience navigating diverse international business cultures, collaborating effectively with global teams, and influencing strategic direction across multiple markets.
- Team Builder & Mentor: A commitment to attracting, developing, and retaining top‑tier AI talent, fostering a culture of innovation, continuous learning, and technical excellence within your team.
- Problem‑Solving Prowess: A pragmatic, results‑oriented approach to tackling complex, real‑world business challenges with innovative and scalable agentic AI solutions.
VML MAP is a world‑leading Centre of Excellence that helps businesses humanize the relationship between the brand and the customer through hyper personalisation at scale, marketing automation and CRM. Together, we are 1000+ technology specialists, data scientists, strategic thinkers, consultants, operations experts, and creative minds from 55+ nationalities.
We are part of the global VML network that encompasses more than 30,000 employees across 150+ offices in 60+ markets, each contributing to a culture that values connection, belonging, and the power of differences. WPP (VML MAP) is an equal opportunity employer and considers applicants for all positions without discrimination or regard to characteristics.
Head of Agentic AI employer: Map
WPP is an exceptional employer that champions innovation and collaboration, offering a dynamic work culture where visionary leaders can thrive. As the Head of Agentic AI at VML MAP, you will be part of a global network of over 30,000 professionals dedicated to transforming marketing through cutting-edge technology and data solutions. With a strong commitment to employee growth, diversity, and inclusion, WPP provides unparalleled opportunities for career advancement while working with some of the world's most admired brands.
StudySmarter Expert Advice🤫
We think this is how you could land Head of Agentic AI
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Map!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Head of Agentic AI at Map.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Map.
✨Apply Directly through Our Website
When you find a suitable opening like Head of Agentic AI at Map, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Head of Agentic AI
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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Map, 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 Map. 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 Map
✨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!
✨Showcase Your Projects
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
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Map!
✨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.
