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Master Data Management Architect
il y a 3 jours
Lesaffre Digital & Data ambitions
Lesaffre’s Digital & Data journey started some years’ ago with a strong push to encourage and cross-fertilize initiatives across the organization. Business impact of some of these first actions (Sales efficiency tools, My Lesaffre App for Bakers, digitalization of key operations etc…) have confirmed the importance of accelerating this journey.
Digital & Data are to become a fundamental transformative force for Lesaffre growth. On one hand, as a lever to increase customer centricity and user experience. On the other, to bring operational excellence across the company.
More concretely, some of these opportunities are:
- Further empower salesforce & leverage digital marketing to capture, convert and keep our future and current clients and consumers
- Leverage omnichannel strategies to sell, serve and delight our customers
- Turn our industrial operations even more intelligent and efficient (digitalization of processes, automatization of low added value tasks, industrial productivity, supply chain performance …)
- Contribute to unlocking further value and efficiency on R&D processes
- Empowering transversal functions to deliver better user experiences
To accelerate this journey, a substantial additional effort is being put in place. The recent arrival of a Chief Digital & Data Officer (ExCom member) has marked the beginning of this acceleration. With a more structured and results oriented journey, CD&D officer is creating a new organisation. Data and Tech is at the heart of the transformation. A Data and Tech Factory has been created to valorise Lesaffre’s data assets, and deliver use cases, governance capacities, and innovation. Both embedded in the Business and at a Global level, digital & data talents will be crucial to this transformative journey both in the impact to business as well as the development of D&D capabilities.
In this context, Lesaffre is recruiting a Master Data Management Architect
Job position:
This position is reporting to the Head of Data Governance and Quality within the Data&Tech Factory.
The MDM Architect is responsible for designing, implementing, and maintaining the master data management architecture to ensure the accuracy, consistency, and security of master data across the organization. This role requires a deep understanding of data governance, data quality, and data integration practices, as well as the ability to collaborate effectively with IT and business stakeholders to support data-driven decision-making processes.
She/he will have the following responsibilities:
- MDM Architecture Design and Implementation
- Develop and maintain the MDM architecture to support business objectives and data governance standards.
- Design data models, hierarchies, taxonomies, and workflows to support effective data management and governance.
- Define data integration processes to ensure seamless data flow and integration across systems. Provide expertise in API integration, ETL processes to facilitate MDM implementation.
- Select and implement MDM tools and technologies that meet the organization’s needs.
- Master Data Management Governance
- Define and manage master data governance processes, including data stewardship, data classification, and access controls.
- Ensure the accuracy, consistency, and integrity of master data across all systems.
- Implement and monitor data quality metrics and KPIs.
- Collaboration and Stakeholder Engagement
- Work closely with IT and business units to ensure effective implementation and adoption of MDM solutions.
- Facilitate communication and coordination among stakeholders to support data governance and quality initiatives.
- Provide technical leadership and guidance on MDM-related projects and activities.
- Technology and Tools Management
- Evaluate and recommend MDM tools and technologies to support the MDM architecture.
- Oversee the implementation, configuration, and maintenance of MDM tools.
- Ensure that MDM tools and processes are aligned with the organization’s data governance and quality standards.
Qualifications
There is no such thing as a ‘perfect’ candidate. Lesaffre is a place where you can grow and in which whatever background you come with will be a plus. If you feel excited about the position, we strongly encourage you to apply even if you meet only two third the requirements.
- Master's degree in Data Management, Information Systems, or a related field
- 5 to 10 years of experience, in similar roles (ideally in a global organization with a local-first approach)
- Demonstrated experience in collaborating with IT stakeholders and cross-functional teams on master data management projects.
- Technical and professional skills:
- Strong SQL skills for data querying, manipulation, and reporting.
- Experience with data quality assessment, data cleansing, normalization, and enrichment techniques.
- Proficiency in data visualization tools like Tableau, Power BI, or similar.
- Knowledge of data modeling concepts and practices.
- Soft skills and competencies:
- Good communication skills , ability to prepare clear and concise reports and presentations.
- Strong interpersonal skills to work effectively with cross-functional teams, data stewards, and business units.
- Analytical skills to identify data quality issues, root causes, and implement corrective actions.
- Commitment to maintaining high standards of data quality.
- Ability to manage multiple tasks and projects simultaneously, prioritizing work effectively to meet deadlines.
Additional Information
- Position is based in Lille (Marcq en Baroeul Lesaffre’s Campus)
- Home working is possible 2 days a week (candidate can live in another city but 3 days presential is required
All our jobs are open to people with disabilities.
What can Lesaffre offer you:
- We are a successful family-owned company with long-standing history where people truly matter.
- We promote a sense of fulfilment with a genuine mission: nourish and protect the planet.
- A good working atmosphere, in a brand-new Campus fostering synergies and teamwork, with the possibility of working remotely.
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