Master Data Management Architect / Expert
ABInBev
Tel aviv, IL
לפני 5 ימים

Company Overview:

AB InBev

We are the world’s leading brewer bringing people together for a better world. For centuries, the experience of sharing a beer has brought people and cultures together. Even in our hyper-connected, always-on world, this simple act is as meaningful today as it was generations ago.

We are AB InBev. Committed to driving growth that leads to better living for more people in more places. Through brands and experiences that bring people together. Through our dedication to brewing the best beer with the best ingredients. And through our commitment to helping farmers, retailers, entrepreneurs, and communities grow. 

We are building a company to last. Not just for a decade. But for the next 100 years. Through our brands and our investment in communities, we will bring more people together, making our company an integral part of our consumers’ lives for generations to come.

At the heart of our dynamic global growth is a simple belief: nothing should come between incredibly talented people and an accelerated career. That’s why we dream big. Why we look to the future, not the past. Why we value talent over title. And why we hire people that can be better than ourselves. At AB InBev you’ll join a driven team that shares your desire to grow, your courage to challenge and commitment to act. In return, we’ll reward your achievements.

Position Description:

This is a visionary, as well as an execution role.

The MDM Architect will lead ABI in realizing the vision of having the right architected & modeled data for every purpose instantly available to all stakeholders. 

·      Ensures master data integrity in key systems as well as maintaining the processes to support the data quality.

·      Ensures quality of master data in key systems, as well as, development and documentation of processes with other functional data owners to support ongoing maintenance and data integrity.

·      Identify reference data elements and document source system native codes and descriptions, for the reference data.

·      Rationalize data elements across the source systems to develop common data elements.

·      Understanding the data requirements of all stake holders, consolidating them, rationalizing redundancies.

·      Collaborate with business SMEs to collect data elements required.

·      Prepare source to target mapping document for critical enterprise data.

·      Creating awareness among all users about the asset and maximizing usage

·      Support MDM, data alignment, data migration and data quality

·      Gap analysis & contribute to system assessment; to help define key data topics and identify master data quality rules

·      Demonstrating ability to work remotely in a geographically dispersed team

·      Keep eyes and ears open on a continuous basis to understand upcoming data needs and addressing them proactively


Experience:

  • Manages, analyzes, and resolves data initiative issues and manages revisions needed to best meet internal and customer requirements while adhering to published data standards.

·      Identifies areas for data quality improvements and helps to resolve data quality problems through the appropriate choice of error detection and correction, process control and improvement, or process design strategies.

  • In collaboration with subject matter experts and data stewards, defines and implements data strategy, policies, controls, and programs to ensure the enterprise data is accurate, complete, secure, and reliable.
  • Assists in data management, governance, and data quality of master data requirements with other functional data owners to ensure functional master data integrity across the operation of financial systems is consistent and meets stated business rules and requirements.
  • Work closely with the business/IT to ensure alignment of master data rules and the operations of the application meet all requirements.

·      Demonstrated ability to think strategically about business, product, and technical challenges in an enterprise environment.

·      Proven skills in data governance, data quality management & related business processes

·      Prior data model and domain experience in CPG and beverage industry.

·      Experience with SAP modules.

Preferred Experience:

  • Conducts data cleaning to rid the system of old, unused data, or duplicate data for better management and quicker access.

·      Should have a broad exposure to different master data management technologies and pros and cons of choosing one over the other

·      Strong experience in Data Management, Integration, Governance and Visualization

·      Exhaustively collected business and technical metadata and maintained naming standards

  • Resolve data quality problems through the appropriate choice of error detection and correction, process control and improvement, or process design strategies collaborating with subject matter experts (SMEs) and data stewards.
  • Manages, analyzes, and resolves data initiative issues and manages revisions needed to best meet internal and customer requirements while adhering to published data standards.
  • Ensures quality of master data in key systems, as well as, development and documentation of processes with other functional data owners to support ongoing maintenance and data integrity.
  • Ensure master data integrity in key systems as well as maintaining the processes to the data quality. Identify areas for data quality improvements and help to resolve data quality problems through the appropriate choice of error detection and correction, process control and improvement, or process design strategies.
  • Ensures quality of master data in key systems, as well as development and documentation of processes with other functional data owners to support ongoing maintenance and data integrity.

·      Proven track record of MDM implementation & Data Governance delivery

Soft Skills:

·      Analytical Problem-Solving: Approaching high-level data challenges with a clear eye on what is important; employing the right approach/methods to make the maximum use of time and human resources.

  • Effective Communication: Carefully listening to management, data analysts and relevant staff to come up with the best data design; explaining complex concepts to non-technical colleagues.
  • Professional working proficiency in English Language.
  • Expert Management: Effectively directing and advising a team of data modelers, data engineers, database administrators and architects.
  • Industry Knowledge: Understanding the way your chosen industry functions and how data are collected, analyzed and utilized; maintaining flexibility in the face of big data developments.
  • Assists in the application and implementation procedures of data standards and guidelines on data ownership, coding structures, and data replication to ensure access to and integrity of data sets.



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