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DAM/PIM Manager

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Job Order #: 6167037

NOC: 11202
Employer Name:
Brandt Group of Companies
Posted Date:
03-Jan-2025
Location:
REGINA
 
# of Positions:
1
Employment Terms:
Full Time
Apply By:
22-Mar-2025
How to Apply?:
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Employer Name:
Brandt Group of Companies
Contact Email:
careers@brandt.ca
Employer Website:
www.brandtjobs.ca


Description

Brandt is currently looking for a Digital Asset Management/Product Information Management (DAM/PIM) Manager for our Regina, SK location.

The DAM/PIM Manager reports to the Director of Shared Applications (VP of CX in their absence) and is responsible for managing the day-to-day operations of the digital asset management (DAM) and product information management (PIM) systems. This includes system configuration, data entry, user training, and troubleshooting. The DAM/PIM Manager will also work with cross-functional teams to ensure that all assets and product information are accurate and up to date in the DAM and PIM systems.

RESPONSIBILITIES:
- Manage the day-to-day operations of the DAM and PIM systems.
- Develop and implement policies and procedures for the use and maintenance of the DAM and PIM systems.
- Coordinate with cross-functional teams to ensure that all assets and product information are accurate and up to date in the DAM and PIM systems.
- Work with stakeholders to identify and prioritize new features and improvements for the DAM and PIM systems.
- Lead data governance and data quality initiatives to ensure the integrity and consistency of asset and product information.
- Monitor and report on the performance and usage of the DAM and PIM systems.
- Lead and manage a team of DAM and PIM specialists, including setting goals and objectives, providing support and guidance, and evaluating performance.
- Stay up to date with industry trends and best practices in DAM and PIM.

Required Skills:
- Strong project management skills and ability to multitask.
- Excellent communication and interpersonal skills.
- Proficiency with DAM and PIM software (Widen, Bynder, Akeneo, Salsify, InRiver).
- Knowledge of data governance and data quality best practices.

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