Marketing Associate

Senior Associate - Marketing Technology (London)
Global Financial Services Company
Location: London, UK (Hybrid)

Overview

We are partnering with a global financial services company seeking a Senior Associate - Marketing Technology to support and evolve its enterprise marketing ecosystem. This position operates at the crossroads of marketing, data, and technology, with a strong emphasis on marketing tech data, AI & machine learning, and data workflows.

You will play a key role in enhancing platform performance, strengthening integrations, and enabling scalable, data-driven marketing operations. This opportunity is ideal for someone who thrives in complex environments and enjoys improving how systems, data, and teams connect.

Key Responsibilities

• Optimise and maintain core marketing technology platforms to ensure strong performance and reliability
• Design, manage, and enhance data workflows and pipelines across the marketing ecosystem
• Troubleshoot and resolve integration and data synchronisation issues between platforms and CRM systems
• Support the development of scalable data structures and architectures for marketing use cases
• Integrate and manage multiple data sources, including digital, event, and third-party data
• Ensure seamless data delivery into analytics and reporting environments
• Collaborate with technical teams to implement AI & ML-driven capabilities such as automation and data enrichment
• Uphold data quality, governance, and compliance standards across all systems
• Identify opportunities to improve process efficiency, platform usage, and workflow design
• Work cross-functionally with Marketing, Data, and IT teams to deliver integrated, scalable solutions

Required Experience

• 3-5+ years' experience in marketing technology, marketing operations, or a related technical marketing role
• Proven experience working with marketing tech stacks and CRM integrations
• Strong understanding of data workflows, APIs, and system integrations
• Experience handling data pipelines, data quality, and data governance
• Exposure to or hands-on experience with AI & machine learning applications in a marketing or data context
• Ability to translate business needs into technical solutions and scalable workflows
• Strong stakeholder management skills with experience working across technical and non-technical team
• Working knowledge of SQL, JSON, or API troubleshooting
• Experience with customer data platforms (CDPs) and attribution models
• Exposure to AI-driven automation or agent-based workflows
• Understanding of data privacy and governance frameworks
• Experience working within enterprise environments and structured IT processes

McGregor Boyall is an equal opportunity employer and do not discriminate on any grounds.