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# Project Manager Data & Analytics

- **Company:** LACO
- **Location:** Brussel, Belgium
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Artificial Intelligence, Data Analysis, Data Infrastructure, Data Integration, SAP ERP, SAP NetWeaver Business Warehouse, Azure Data Factory, Data Analytics, SAP S/4HANA, Data Management, Tools for Reporting
- **Published:** August 10, 2026
- **Apply:** https://www.jobinhoreca.com/job/viewjob/3078474/project-manager-data-analytics.html

## About the Role

* 10+ years of project management experience.
 * 10+ years delivering Data & Analytics projects.
 * Strong experience managing scope, budget, planning, quality, and stakeholder expectations.
 * Knowledge of Agile methodologies and SAFe Essentials.
 * PM² and/or PMBOK certification.
 * Excellent communication and presentation skills.

Considered as a plus

 * Experience with Azure Data Services.
 * Knowledge of SAP and BW/4HANA.
 * Familiarity with ITIL processes.
 * Experience within domains such as transport, maintenance, HR, finance, or commercial operations.

Languages

 * Fluent in Dutch or French (C-level) and a second language (Dutch/French/English) at minimum B2 level.

## Description

Are you an experienced Project Manager with a passion for Data & Analytics? We're looking for a driven professional to lead the delivery of strategic data initiatives, ranging from modern data platforms and reporting solutions to advanced analytics and AI use cases.

In this role, you'll work closely with business stakeholders, IT teams, and management to ensure complex projects are delivered successfully, on time, within budget, and to the highest quality standards.

What you'll do

 * Lead end-to-end delivery of Data & Analytics projects.
 * Define project scope, objectives, planning, timelines, and budgets.
 * Coordinate business and technical stakeholders throughout the project lifecycle.
 * Manage risks, dependencies, and project governance.
 * Facilitate steering committees and project status meetings.
 * Drive successful delivery of data platforms, reporting solutions, data integrations, analytics, and AI/ML initiatives.


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