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Jobs or company...

Data Functional Expert - Material Master R3.5

Salary undisclosed
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About Accenture
Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth, and enhance citizen services - creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 750,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise, and global delivery capability. We are uniquely able to deliver tangible outcomes because of our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song. These capabilities, together with our culture of shared success and commitment to creating 360 value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360 value we create for our clients, each other, our shareholders, partners and communities. Visit us at www.accenture.com.

Position Overview:

We are looking for a Data Functional Expert - Material Master R3.5 who will play a key role in defining, implementing, and managing data migration and modernization architecture. This position will involve leveraging advanced Generative AI (Gen AI) models and algorithms to enhance the performance and quality of data-related systems and processes. The ideal candidate will possess advanced proficiency in SAP MM (Materials Management), a solid understanding of data architecture, and experience in Gen AI technologies.

Key Responsibilities:

Data Migration and Modernization Architecture:

  • Define and implement data migration and modernization strategies, ensuring seamless integration into the organization’s systems.

  • Develop and maintain data product architecture aligned with business goals and technological advancements.


Data Lifecycle Management:

  • Design and implement robust data lifecycle management strategies to ensure the integrity, security, and optimization of data.

  • Establish guidelines and best practices for data retention, archiving, and disposal.

Generative AI Implementation and Optimization:

  • Leverage, customize, and implement Gen AI models, algorithms, and methodologies to improve the quality of AI-powered products, applications, and systems.

  • Analyze and evaluate the performance of Gen AI systems, identifying areas for improvement and providing actionable recommendations.

  • Architect and design end-to-end Gen AI solutions tailored to specific business needs, ensuring alignment with strategic objectives.

  • Provide technical guidance and oversight during the implementation and delivery of Gen AI solutions.

System Analysis and Performance Evaluation:

  • Monitor and evaluate the effectiveness of data systems and processes, recommending enhancements to improve efficiency and scalability.

  • Develop and maintain performance metrics for Gen AI systems, ensuring continuous improvement.

Collaboration and Training:

  • Work closely with cross-functional teams, including IT, data science, and business units, to align data and AI strategies with organizational goals.

  • Provide training and support to teams on SAP MM functionalities, data architecture, and Gen AI technologies.


Qualifications:

Mandatory Requirements:

  • Advanced proficiency in SAP MM (Materials Management).
  • At least 2 years of experience in relevant related skills.

Bachelor’s degree in a related field.

Preferred Qualifications:

  • Intermediate proficiency in data architecture.
  • Advanced proficiency in data migration strategies and techniques.
  • Beginner proficiency in Generative AI (Gen AI) models.
  • Intermediate proficiency in algorithms.
  • Expert proficiency in methodologies for system design and optimization.

Key Competencies:

  • Strong analytical and problem-solving skills.
  • Excellent communication and collaboration abilities.
  • Deep understanding of data management and AI technologies.
  • High attention to detail and commitment to data quality.
  • Ability to work in a fast-paced, dynamic environment.
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