Director of Marketing Technology and Data

Director of Marketing Technology and Data

Summary: We are hiring a hands-on, visionary Director of Marketing Technology and Data to design, build, and scale a programmable global marketing infrastructure that moves Randstad from disconnected SaaS tools to a unified, AI-ready data foundation.

• Primary Hub Location:Netherlands (hybrid - 2 weeks) or UK (occasional travel to the NL)

Important Note: Role Differentiation

Please Note: This is a highly technical Systems Architecture, Data Engineering, and AI Infrastructure Leadership Role. This is NOT a digital marketing campaign management or content creation role. You will be building the programmable infrastructure that powers those functions.

What You Will Achieve

As the primary architect of our digital marketplace growth engine, you will report directly to the Chief Digital Growth Officer and lead the transition from a decentralized collection of local tools to an API-first, composable global stack.

Global MarTech Architecture & AI Agent Integration

• Centralization & Rationalization: Audit our decentralized regional tools and lead the migration to a unified global stack (CRM, Marketing Automation, CDP) built on rigorous systems engineering standards.

• AI-First Implementation: Select, deploy, and integrate autonomous AI agents to orchestrate real-time interactions across the ecosystem. Collaborate with data science teams to fine-tune LLMs and deploy custom predictive models into production.

• A Single View of the Customer: Build a global system to capture every client and talent signal into a unified master profile within our central data hub.

Building the Central Data Foundation

• Decouple Logic from Apps: Move the "brain" and marketing logic out of siloed SaaS applications and into a single, universal data layer that Randstad owns and controls.

• Contextual AI Readiness: Organize and structure enterprise data pipelines so autonomous AI agents have the deep context needed to reason, decide, and execute marketing workflows without middleware friction.

• The Enterprise Bedrock: Deliver the mandatory technical foundation that enables our Content, Omnichannel Performance, and Insights teams to execute effectively.

Operational Excellence & Global Governance

• Define the Data Contract: Establish a global "common language" ensuring core entities like a "Lead" or "Customer" maintain identical definitions across all regions and tools.

• Empower Local Teams: Establish a central MarTech & Data Center of Excellence (CoE), provisioning reusable, compliant building blocks and templates for local teams.

• Real-Time Attribution: Shift commercial attribution from lagging monthly reports to an instant, on-demand data service.

Privacy, Ethics & Data Compliance

• Compliance by Design: Implement robust Consent Management Platforms (CMPs) across all global digital assets to strictly navigate GDPR, CCPA, and global privacy regulations.

• Algorithmic Fairness: Establish strict guardrails for Generative and Predictive AI, serving as the technical lead in auditing models for bias and ensuring brand safety.

Key Metrics You'll Own (Year 1 Deliverables)

• Global MarTech Roadmap: A validated, IT-aligned strategy to transition regional tech setups into the central Marketplace hub.

• Universal Data Layer: The production launch of our primary marketing data platform as the single source of truth.

• CoE Launch: The successful central organization setup and transition of distributed regional procedures.

• Experimentation Pilot: Execution of 5 high-impact, self-learning data experiments moving from standard A/B testing to autonomous spend and creative optimization.

• AI Operational Framework: Deployment of the first 3 production use cases for AI automation (e.g., predictive lead scoring/automated content pipelines).

What You Need to Succeed

• The "Architect" Mindset: 8+ years of enterprise experience in MarTech/AdTech, specifically leading large-scale transitions from decentralized setups to centralized global infrastructures.

• Technical Mastery: Deep hands-on experience building data-first environments and cloud data pipelines (e.g., Google Cloud Platform). You firmly believe software tools should be "last-mile" connectors, while the logic lives in core infrastructure.

• AI Fluency: Pragmatic engineering knowledge of how to structure, pipeline, and feed enterprise data to give AI agents and LLMs the context they need for autonomous decision-making.

• Empowering Leadership: Proven ability to influence cross-functional, global stakeholders by building supportive platform frameworks rather than policing restrictive rules.

• Language: Full professional proficiency in written and spoken English.

About Randstad

Randstad is the world’s largest talent company. Operating in more than 38 countries, we combine global scale with deep local expertise to help millions of people find meaningful work and support hundreds of thousands of clients. As the world of work evolves, we are transforming into a digital-first organization where technology, data, and human expertise work together to shape the future of global talent marketplaces.

Why Join Us?

You are not being hired to maintain legacy systems. You are being given a clear mandate and the resources to build the technical foundation of a multi-billion dollar global marketplace, defining exactly how an industry leader interacts with the world through technology.

How to Apply.

Contact: Reach out to our Recruitment Business Partner, jennifer.roberts@randstadsourceright.co.ukfor the full job spec and a confidential discussion.