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ZEISS Group

Master Data Expert

Reposted 13 Days Ago
Be an Early Applicant
In-Office
Toronto, ON
Senior level
In-Office
Toronto, ON
Senior level
The Master Data Expert oversees master data management, ensuring accuracy and consistency in enterprise data, while collaborating on data standards and governance.
The summary above was generated by AI

About Us: 

How many companies can say they’ve been in business for over 177 years?! 

Here at ZEISS, we certainly can! As the pioneers of science, ZEISS handles the everchanging environments in a fast-paced world, meeting it with cutting edge of technologies and continuous advancements. ZEISS believes that innovation and technology are the key to a sustainable future and solutions for global change. We have a diverse range of portfolios throughout the ZEISS family in segments like, Industrial Quality & Research, Medical Technology, Consumer Markets and Semiconductor Manufacturing Technology. We are a global company with over 42,000 employees and have over 4,000 in the US and Canada alone! Make a difference, come join the team! 

Location/Region: This position is located in Toronto.

 

What’s the role?  

As a Master Date Expert you get to work with an astonishing team that plays a vital role in Carl Zeiss Limited. Show case your skills and experience with process enhancement. 

 

Sound Interesting?  

Here’s what you’ll do:  

Position Summary:

The Master Data Expert is responsible for overseeing the operational aspects of master data management within the organization. This role ensures the accuracy, consistency, and reliability of enterprise master data, particularly within SAP R/3 and S/4HANA systems. The Master Data Manager collaborates with various business units to develop data standards, governance policies, and to improve overall data quality. By integrating master data initiatives with the company's digital transformation goals, this role contributes significantly to operational efficiency and data-driven decision-making.

  • Assist in the execution of the master data management strategy, ensuring alignment with the organization’s business objectives and digital transformation goals.
  • Help in the development and enforcement of master data standards, processes, and governance models to maintain data integrity across all business units and systems.
  • Participate in regular data quality reviews, helping to identify and implement corrective actions to improve data accuracy and reduce duplication and inconsistencies.
  • Work with IT and business stakeholders to design and support the implementation of technological solutions that enhance data quality, including automated monitoring and reporting tools.
  • Aid in ensuring the successful integration of master data processes with other business processes, such as supply chain, finance, and customer relationship management.
  • Contribute to continuous improvement initiatives related to master data, identifying opportunities to optimize data-related workflows and system functionalities.
  • Assist in the planning and execution of data migration projects, ensuring adherence to data standards and quality benchmarks during system upgrades or transitions.
  • Act as a point of contact for master data-related inquiries and issues, supporting resolution efforts and ensuring clear communication with stakeholders.
  • Help develop and maintain training programs and documentation to improve master data literacy within the organization, promoting a shared understanding of data governance principles and practices.
  • Stay informed about industry trends and advancements in master data management, assisting in the evaluation and recommendation of new tools, techniques, and methodologies.
  • Support the establishment and tracking of key performance indicators (KPIs) to measure the effectiveness of master data initiatives, contributing to reports and data-driven recommendations for improvement.

Do you qualify?  

  • Bachelor’s degree in business informatics, Information Technology, or a related technical field.
  • Minimum five (5) years of relevant professional experience in SAP and master data management or a related role.
  • A master's degree in business informatics, Information Technology, or a related technical field is an asset or 7 years+ experience Basic project management skills and experience in supporting data-related projects.
  • Strong communication skills with the ability to explain data concepts to non-technical stakeholders.
  • Experience supporting digital transformation projects with a focus on data management.
  • Interest in emerging technologies and their application to data management and analytics.
  • Extensive experience with SAP modules relevant to master data management, such as SAP MM (Materials Management) and SAP MDG (Master Data Governance). Proven experience in data quality management practices, including data cleansing, validation, and enrichment processes.
  • Strong analytical skills with the ability to interpret complex data sets and provide actionable insights.
  • Familiarity with data governance frameworks and best practices, including data stewardship and data lifecycle management.
  • Experience in change management processes, particularly in relation to data management initiatives.
  • Proficiency in data modeling tools, SQL, and data visualization tools (e.g., Tableau, Power BI) to support data analysis and reporting an extra.
  • Experience working with cross-functional teams, including IT, finance, and operations, to align data management strategies with business objectives.
  • Ability to train and mentor junior staff or stakeholders on master data management best practices and tools.
  • Strong problem-solving skills with a proactive approach to identifying and resolving data-related issues.

 

We have amazing benefits to support you as an employee at ZEISS!  

  • Medical  

  • Vision  

  • Dental  

  • RPP 

  • Employee Assistance Program  

  • Paid time off including vacation, personal, and sick days 

  • The list goes on!  

 

ZEISS is an equal opportunity employer. 

Your ZEISS Recruiting Team:

Jo Anne Mittelman

As part of our recruitment process, we currently do not use Artificial Intelligence (AI) to assess applications or make hiring decisions. This job posting is for an existing vacancy.

Accommodation

ZEISS is committed to creating an accessible and inclusive organization. We are committed to providing barrier-free and accessible employment practices. Should you require Code-protected accommodation through any stage of the recruitment process, please make them known when contacted and we will work with you to meet your needs.

Top Skills

Power BI
Sap R/3
Sap S/4Hana
SQL
Tableau

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