Data Management Training Specialist

The Data Management Trainings Specialist designs and establishes a structured communication and training concept that ensures consistent understanding correct usage and sustainable adoption of the Product Information Management (PIM) and PIM system across the organization. That enables corporate and business users data roles and stakeholders to know what PIM is and work effectively and compliantly with the PIM system by providing clear communication rolespecific training and ongoing guidance aligned with PIM governance data quality standards and organizational change requirements.

Main tasks:
- Design and maintain a structured training concept for PIM Data Management and PIM system aligned with governance rules data quality standards and corporate/business processes.
- Develop rolebased training materials (e.g. onboarding refresher advanced training) for different data roles such as data creators data stewards approvers etc.
- Deliver training sessions in various formats (live virtual selflearning materials etc.) to ensure effective knowledge transfer and adoption.
- Coordinate training content with PIM Project Coordination Product Data Management PIM Governance IT and corporate/business stakeholders to ensure consistency and accuracy.
- Continuously review and update training materials based on system changes process updates and user feedback.

Responsibilities:

- Responsibility for designing maintaining and delivering the PIM Data Management and PIM system training concept ensuring alignment with approved PIM governance rules data standards and processes.
- Responsibility for defining rolebased training curricula and learning paths for different PIM user groups (e.g. data creators data managers approvers etc.) based on governance requirements.
- Responsibility for planning and conducting training sessions (onboarding refresher and update trainings) to enable efficient and compliant use of the PIM system.
- Responsible for ensuring that training materials remain up to date and reflect current system functionality processes and compliance requirements.

Qualifications :

- Experience designing and maintaining structured training concepts for PIM systems data management and product data governance aligned with corporate processes and data quality standards.

- Proven ability to develop rolebased training materials (e.g. onboarding refresher advanced training) for different data roles such as data creators data stewards approvers and governance roles.

- Experience delivering training in multiple formats including live classroom sessions virtual trainings and selflearning materials to ensure effective knowledge transfer and system adoption.

- Experience in continuously reviewing and updating training materials based on system changes process updates and user feedback.

- Strong communication facilitation and documentation skills with a focus on clarity usability and sustainable adoption.

- Initial onboarding into the PIM topic or already strong understanding of PIM governance rules data quality principles workflows and approval processes and the ability to translate them into practical training content.

Additional Information :

Trust is the most important thing for us. We trust in the capabilities of all our Sika team members and reward them with above average freedom and empowerment every day

The chance to bring new ideas interesting areas for development and taking responsibility early on are some of the key factors that drive Sikas pioneering spirit

Sika is a great employer - especially for people who are interested in communicating across cultures. To find out more about what its like to work for Sika you can find out more about us here we caught your eye then apply online through our career portal today!

We offer competitive salaries aligned with local market benchmarks and the specific scope and responsibilities of each role. Compensation is determined based skills relevant to the position education and/or training. We are committed to fair and equitable pay practices in accordance with applicable laws and regulations.

Remote Work :

No

Employment Type :

Full-time

Experience: years
Vacancy: 1