Data Steward (Product) - Technical

TVH; Waregem; Hybride; EUR 60 000 - 90 000; Plein temps

Avantages offerts par ce poste

Company car

Meal vouchers

Insurances

Flexible hours

Home working

20 vacation days

Résumé du poste

TVH is seeking a Data Steward to champion data quality and govern data within assigned domains. You will ensure accuracy, reliability, and accessibility to feed our e-commerce platform with a single source of truth.

You will collaborate with data stewards and stakeholders to optimize governance policies, manage data elements, and mentor colleagues while focusing on commercial and technical enrichment of product data.

Qualifications

• Master's degree or equivalent in a relevant field.
• 2-5 years of experience with data, preferably in data management, data quality, or data governance.
• Familiarity with data governance principles, data quality concepts, and data management best practices.
• Understanding of data structures, relationships, and database concepts.
• Experience with data management tools and technologies is a plus.
• Basic understanding of relevant industry regulations.

Responsabilités

• Serve as primary data contact within the assigned domain.
• Enforce data standards and policies across systems and teams.
• Identify, investigate, and resolve data conflicts and quality issues.
• Monitor data quality metrics and drive improvement initiatives.
• Collaborate with Data Governance teams and stakeholders across departments.
• Coordinate workload among Data Maintenance professionals.
• Provide mentorship and guidance to colleagues.

Connaissances

Analytical skills

Communication

Mentor/Coaching

Attention to detail

Time management

Global collaboration

Proactivity

SQL

Python

Formation

Master's degree or equivalent

2-5 years data experience

Outils

SQL

Python

Excel

Google Sheets

Description du poste

The Data Steward acts as a guardian and champion of data quality and as a key implementer of the data governance principles within an assigned domain (e.g., Customer, Product, Finance) or sub domain (for complex domains). Responsible for ensuring that data is accurate, reliable, secure, and fit for its intended purpose. They play a vital role in maintaining data accuracy, consistency, and accessibility. As a hands-on enforcer of data governance policies, the Data Steward supports issue resolution, monitors data quality, ensures compliance with established standards, manages specific data elements of moderate complexity, and contributes to broader data governance initiatives. The Data Stewards engages with key stakeholders to identify and coordinate potential optimizations within the governance policies, data processes and data metrics. This role focuses on the commercial and technical enrichment of our product offering. You manage the quality of technical specifications, product attributes, images, and commercial descriptions. Your goal is to build a "single source of truth" that feeds our E-commerce platforms, ensuring customers can find, identify, and purchase the exact parts they need with confidence. You collaborate closely with other data stewards, especially the product data steward for regulatory subdomains.

Key Responsibilities

• Domain Data Contact: Serve as the primary point of contact for all data-related inquiries within the assigned domain, ensuring data is consistently accurate, reliable, and complete. Facilitate understanding and effective use of domain data across teams.
• Standards Enforcement: Ensure strict adherence to data standards, policies, and guidelines established by the Data Owner within the assigned domain. Promote consistent data handling, processing, and usage across all relevant systems and teams.
• Technical Data Issue Resolution: To maintain data integrity, proactively identify, investigate, and resolve data conflicts, discrepancies, and quality issues within the domain.
• Data Quality Monitoring & Improvement: Accountable for tracking and analyzing data quality metrics within the domain. Drive continuous improvement initiatives by identifying areas for enhancement and implementing best practices to elevate data accuracy and consistency over time.
• Cross-Functional Collaboration: Work closely with Data Governance teams, Data management roles and business stakeholders to ensure domain data effectively meets business requirements. Facilitate communication, gather feedback, and align data practices across departments.
• Workload Coordination: Coordinate and manage the allocation of domain data-related tasks among Data Maintenance professionals to ensure efficient workflow, timely completion, and alignment with operational priorities.
• Mentorship & Guidance: Provide guidance and support to less experienced colleagues, assisting them with daily tasks and promoting skill development and adherence to best practices.

Your Profile

• Master's degree (or equivalent by experience) in a relevant field such as Information Management, Data Management, Business Administration, Computer Science, or a related discipline. Equivalent practical experience may be considered.
• 2-5 years of experience working with data, preferably in a data management, data quality, or data governance role.
• Familiarity with data governance principles, data quality concepts, and data management best practices.
• Understanding of data structures, data relationships, and database concepts.
• Experience working with data management tools and technologies (e.g., data quality platforms, data catalogs, data profiling tools) is a plus.
• Basic understanding of relevant industry regulations

Desired Skills

• Strong Analytical and Problem-Solving Skills: Ability to analyze data issues, identify root causes, and propose effective solutions.
• Excellent Communication and Interpersonal Skills: Ability to communicate clearly and effectively with both technical and non-technical stakeholders, build relationships, and facilitate discussions.
• Mentor/Coaching Skills: Offering day-to-day support, sharing knowledge of best practices, and helping to build data literacy and stewardship capabilities across the organization.
• Attention to Detail and Accuracy: Meticulous approach to data and a strong focus on ensuring data integrity.
• Organizational and Time Management Skills: Ability to manage multiple tasks, prioritize effectively, and meet deadlines.
• Global Collaboration and Teamwork: Ability to work effectively within a team and across different functions, including collaborating with colleagues and stakeholders in different geographic locations and time zones.
• Proactive and Initiative-Taking: Ability to identify opportunities for improvement and take ownership of tasks within the assigned data domain.
• Basic Data Manipulation Skills: Familiarity with basic SQL, Python or data manipulation tools (e.g., Excel, Google Sheets) for data investigation and analysis.
• Learning Agility: Willingness to learn new tools, technologies, and data management concepts.

What's in it for you

• A competitive salary with benefits such as a company car, meal vouchers and insurances.
• Flexible working hours, home working and a healthy work-life balance.
• 20 paid vacation days and 12 WTR days.
• An easily accessible work location (but remote work is also possible).
• A people-centric culture where your fitness and mental well-being matter.
• Lunch breaks and sports facilities in TVH Park, the company's green zone.
• Access to LinkedIn Learning and many in-house (and external) training courses.
• Fun after works and other optional events (e.g. TVH Kaffee).

People are at our heart

TVH is a global business with a family atmosphere, where people are at the center. We value clarity, mutual respect, kindness and open communication. Our people are down-to-earth, easy to work and engage with. We welcome differences and celebrate new ideas.

About TVH

TVH is a parts specialist for quality parts and accessories for material handling, industrial vehicles, and construction and agricultural equipment. Working at TVH is opting for a company that excels as an international market leader and is well-known for its unstoppable craving for innovation.