Product Data Manager – PIM, Taxonomy & AI-Ready Data Onsite

HEAD; Gemeinde Kennelbach; On-site; EUR 60,000 - 90,000; Full time

Benefits offered by this job

Employee shop

On-site sports facility

Lunch allowance

Transportation allowance

Job summary

HEAD in Kennelbach, Austria is seeking a Product Data / Information Manager (m/f/d) to act as the central interface for product data across Racquet Sports, Winter Sports, and Sportswear. The role focuses on maintaining data quality, expanding taxonomy, and aligning data requirements with digital channels.

Responsibilities include KPI monitoring, data taxonomy development, and collaboration with product, digital, and marketing teams to support a global, AI-ready portfolio.

Qualifications

• Completed education or degree in a relevant field.
• Experience in product data management and digital channels.
• Know-how in designing or developing product taxonomies and data quality standards.
• Understanding of AI tools and current developments in SEO/GEO and data-driven marketing.
• Structured, detail-oriented working style with high quality standards.
• Strong communication across divisions as a liaison.

Responsibilities

• Central interface for product managers and cross-functional processes for consistent data.
• Maintain, expand, and optimize product data for digital channels.
• Define, monitor, and manage KPIs for data quality and availability.
• Develop a unified product taxonomy for search, navigation, and data structures.
• Collaborate with product, digital, and marketing teams on data requirements for a global AI-ready portfolio.

Skills

PIM systems

Product data management

Taxonomies and data quality

AI tools awareness

SEO / GEO data-driven marketing

German and English

Education

Degree in E-Commerce, Business Informatics / Information Systems, Data Management, or Media Management

Tools

PIM software

AI tools

Job description

HEAD in Kennelbach, Austria is seeking a Product Data / Information Manager (m/f/d) to act as the central interface for product data across Racquet Sports, Winter Sports, and Sportswear. The role focuses on maintaining data quality, expanding taxonomy, and aligning data requirements with digital channels.

Responsibilities include KPI monitoring, data taxonomy development, and collaboration with product, digital, and marketing teams to support a global, AI-ready portfolio.