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# Data Strategy & Adoption Lead

- **Company:** Page Personnel
- **Location:** AMSTERDAM, Netherlands (Remote available)
- **Experience:** Expert
- **Salary:** €8,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Governance, Data Infrastructure, Decision Support Systems, Metadata, Power BI, Enterprise Data Management, Data Strategy, Microsoft Fabric, Data Analytics, Databricks
- **Published:** September 12, 2026
- **Apply:** https://www.pagepersonnel.nl/job-apply/data-strategy-adoption-lead/ref/jn-092026-7101969?lang=en

## About the Role

* Proven experience in data, analytics, digital transformation, or adoption programmes.
 * Strong stakeholder management and influencing skills at senior leadership level.
 * Experience with enterprise data platforms, roadmap development, or product ownership.
 * Knowledge of data governance, quality management, metadata, and data ownership.
 * Understanding of how strong data foundations enable successful AI initiatives.
 * Experience with Power BI and modern platforms such as Microsoft Fabric or Databricks is a plus.

## Description

The Data Strategy & Adoption Lead will drive innovation and data-driven solutions within the industrial/manufacturing sector. This role focuses on leveraging technology to support transformative business processes and strategies.

 * Functie
*

 * Samenvatting
*

 * Soortgelijke jobs

Toegevoegd 11/09/2026

 * Shape the Data & AI strategy of a growing organisation.
 * Drive real business impact beyond dashboards and reporting.

Over onze klant

Our client is a large international industrial organisation operating in a highly technical environment. The company is investing heavily in Data and is now focused on strengthening its data foundations to unlock long-term business value, innovation, and operational excellence.

Functie

 * Define and own the vision and roadmap for the enterprise data platform.
 * Drive adoption of data, analytics, and data-driven decision making across the business.
 * Improve data governance, data quality, ownership, and standardisation.
 * Translate business requirements into scalable data and AI capabilities.
 * Build and grow a data and analytics community across the organisation.
 * Align business stakeholders, IT teams, data specialists, and external partners.


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