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Director of Marketing Technology and Data

Job in 1110, Diemen, North Holland, Netherlands
Listing for: Randstad - Netherlands
Full Time position
Listed on 2026-06-11
Job specializations:
  • Software Development
    AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 80000 - 100000 EUR Yearly EUR 80000.00 100000.00 YEAR
Job Description & How to Apply Below

Director of Marketing Technology and Data

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.

Employment Type:

Full‑time.

Location:

The Netherlands (hybrid, with an office presence 2–4 times per month at our Amsterdam hub). The role requires full operational availability during Central European Time (CET) business hours.

What You Will Achieve

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.

  • Audit and lead the migration of regional Mar Tech tools to a unified global stack (CRM, Marketing Automation, CDP).
  • 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.
  • Build a global system to capture every client and talent signal into a unified master profile within a central data hub.
  • Decouple marketing logic from siloed SaaS applications into a single, universal data layer owned by Randstad.
  • Organize and structure enterprise data pipelines so autonomous AI agents have the deep context needed to reason and execute marketing workflows without middleware friction.
  • Establish a global data contract and a common language for core entities such as "Lead" or "Customer".
  • Establish a central Mar Tech & Data Center of Excellence (CoE) that provides reusable, compliant building blocks and templates for local teams.
  • Shift commercial attribution to an instant, on‑demand data service.
  • Implement robust Consent Management Platforms (CMPs) and enforce GDPR, CCPA, and other global privacy regulations.
  • Establish guardrails for Generative and Predictive AI, auditing models for bias and ensuring brand safety.
Key Metrics – Year 1 Deliverables
  • Global Mar Tech

    Roadmap:

    a validated, IT‑aligned strategy to transition regional setups into the central Marketplace hub.
  • Universal Data Layer: the production launch of the primary marketing data platform as the single source of truth.
  • CoE Launch: 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).
Qualifications
  • 8+ years of enterprise experience in Mar Tech/AdTech, leading large‑scale transitions from decentralized setups to centralized global infrastructures.
  • Deep hands‑on experience building data‑first environments and cloud data pipelines (e.g., Google Cloud Platform).
  • 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.
  • Proven ability to influence cross‑functional, global stakeholders by building supportive platform frameworks rather than policing restrictive rules.
  • Full professional proficiency in written and spoken English.
Legal Statement

All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, pregnancy, veteran status, disability status, or any other protected characteristic, in accordance with applicable law.

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