Senior Director, Systems Architect (Agentic Intelligence)

London, England, United Kingdom

GroupM

GroupM is the world’s leading media investment company. We make advertising work better for people.

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About WPP Media

WPP is the creative transformation company. We use the power of creativity to build better futures for our people, planet, clients and communities. For more information, visit wpp.com.

WPP Media is WPP’s global media collective. In a world where media is everywhere and in everything, we bring the best platform, people, and partners together to create limitless opportunities for growth. For more information, visit wppmedia.com

About Choreograph: A Leading WPP Media Brand

Choreograph is WPP’s global data products and technology company. We’re on a mission to transform marketing by building the fastest, most connected data platform that bridges marketing strategy to scaled activation.

We work with agencies and clients to transform the value of data by bringing together technology, data and analytics capabilities. We deliver this through the Open Media Studio, an AI-enabled media and data platform for the next era of advertising.

We’re endlessly curious. Our team of thinkers, builders, creators and problem solvers are over 1,000 strong, across 20 markets around the world.

Role Summary and Impact

We are seeking a seasoned Systems Architect to lead the design, strategy, and implementation

of our Agentic Intelligence cloud infrastructure, with a specific focus on architecting systems

that enable seamless agentic workflows and intelligent agent interactions across our product

ecosystem.

In this leadership role, you will be responsible for architecting scalable, secure, and highperforming

cloud and data ecosystems that align with the organisation’s business and

technology goals, enabling the development and deployment of sophisticated agentic

intelligence solutions. You will collaborate with engineering, analytics, and business leaders to

ensure that our systems support data-driven decision-making, meet the demands of a modern,

cloud-native enterprise, and facilitate the orchestration of intelligent agents.

 

  • Define and execute the organisation’s data and cloud architecture strategy, aligning it with
  • business objectives and long-term goals, with a particular emphasis on supporting agentic
  • workflows and agent interactions.
  • Develop architectural standards, best practices, and governance policies for cloud
  • platforms, data infrastructure, and integrations, ensuring they are conducive to the
  • development and deployment of agentic intelligence solutions.
  • Lead the design and adoption of a cloud-native architecture that supports scalability,
  • reliability, and cost-efficiency, while also providing the necessary infrastructure for agent
  • orchestration and communication.
  • Partner with business leaders to identify and prioritise initiatives that leverage data and
  • cloud capabilities to drive value, with a focus on identifying opportunities for agentic
  • intelligence to enhance our products and services.
  • Design and implement a modern data architecture, including data lakes, data warehouses,
  • and real-time analytics platforms, ensuring they are optimised for agent access and data
  • processing.
  • Ensure data platforms support advanced analytics, machine learning, and business
  • intelligence requirements, as well as the specific data needs of agentic systems.
  • Oversee data integration, data modelling, and data governance processes to ensure
  • accuracy, consistency, and compliance, while also enabling agents to access and utilise
  • data effectively.
  • Establish policies for data security, privacy, and regulatory compliance across all data
  • assets, ensuring that agentic systems adhere to the highest standards of data protection.
  • Architect and oversee cloud infrastructure, ensuring high availability, security, and
  • scalability, while also providing the necessary resources for agent execution and
  • management.
  • Drive the adoption of cloud-native tools and technologies, including serverless computing,
  • microservices, and container orchestration, to support the development and deployment of
  • agentic applications.
  • Implement cost-optimisation strategies to ensure efficient use of cloud resources, while
  • also considering the specific resource requirements of agentic systems.
  • Collaborate with DevOps and SRE teams to enable CI/CD pipelines, automation, and
  • monitoring, ensuring that agentic applications can be deployed and managed efficiently.
  • Design and implement architectures for agent-to-agent communication, ensuring seamless
  • interaction and collaboration between intelligent agents.
  • Develop strategies for enabling agents to interact with diverse data sets, ensuring they can
  • access and process the information they need to perform their tasks effectively.
  • Architect how we enable workflows across our products that leverage agentic intelligence,
  • enabling agents to automate tasks, make decisions, and improve overall system
  • performance.
  • Evaluate and select appropriate agentic frameworks and technologies, ensuring that our
  • architecture is aligned with the latest advancements in the field.

Skills and Experience

At WPP Media, we believe in the power of our culture and our people. It’s what elevates us to deliver exceptional experiences for both our clients and each other. In this role it will be critical to embrace WPP & WPP Media’s shared core values:

  • Be Extraordinary by Leading Collectively to Inspire transformational Creativity.
  • Create an Open environment by Balancing People and Client Experiences by Cultivating Trust.
  • Lead Optimistically by Championing Growth and Development to Mobilize the Enterprise.

 

 

  • Bachelor’s degree in Computer Science, Engineering, or a related field (Master’s preferred).
  • 10+ years of experience in data architecture, cloud infrastructure, or related roles, with at
  • least 5+ years in a leadership or director-level position.
  • Proven expertise in designing and implementing large-scale data and cloud architectures.
  • Strong knowledge of cloud platforms (AWS, GCP, Azure) and related tools (e.g.,
  • Kubernetes, Terraform, CloudFormation).
  • Experience with modern data platforms, including data lakes, data warehouses (e.g.,
  • Snowflake, Redshift, BigQuery), and real-time data processing.
  • Proficiency in data modelling, ETL/ELT pipelines, and data integration tools.
  • Strong understanding of security, compliance, and governance for data and cloud
  • platforms.
  • Hands-on experience with analytics and machine learning platforms/tools is a plus.
  • Excellent leadership, communication, and stakeholder management skills.
  • Experience with agentic frameworks and technologies (e.g., Langchain, AutoGPT, etc.).
  • Understanding of agent-to-agent communication protocols and architectures.
  • Knowledge of data access and processing techniques for agentic systems.

Life at WPP Media & Benefits

Our passion for shaping the next era of media includes investing in our employees to help them do their best work, and we’re just as committed to employee growth as we are to responsible media investment. WPP Media employees can tap into the global WPP Media & WPP networks to pursue their passions, grow their networks, and learn at the cutting edge of marketing and advertising. We have a variety of employee resource groups and host frequent in-office events showcasing team wins, sharing thought leadership, and celebrating holidays and milestone events. Our benefits include competitive medical, group retirement plans, vision, and dental insurance, significant paid time off, preferential partner discounts, and employee mental health awareness days.  

WPP Media is an equal opportunity employer and considers applicants for all positions without discrimination or regard to particular characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.

We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process.

Please read our Privacy Notice (https://www.wppmedia.com/pages/privacy-policy) for more information on how we process the information you provide.

 

While we appreciate all applications received, only those candidates selected for an interview will be contacted. 

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Architecture AWS Azure BigQuery Business Intelligence CI/CD CloudFormation Computer Science Data governance DevOps ELT Engineering ETL GCP Kubernetes LangChain Machine Learning Microservices Pipelines Privacy Redshift Security Snowflake Terraform

Perks/benefits: Career development Health care Startup environment Team events

Region: Europe
Country: United Kingdom

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