Data Governance Specialist

hace 2 días


Monterrey, Nuevo León, México Schneider Electric A tiempo completo

**Job Summary**

We are seeking a highly skilled Data Governance Specialist to join our team at Schneider Electric. As a Data Governance Specialist, you will be responsible for managing data creation and modifications, leading the development of automation opportunities, and supporting data activities to understand the end-to-end process.

**Key Responsibilities**

  • Follow and maintain processes for data life cycle management, applying broad guidelines set up by the domain data owner relating to procedures, tools, roles, monitoring tools, and dashboards.
  • Set up overall process changes with related data and responsibilities, taking into account the overall solution (OG flows, organizational structures, etc.) and targeted system scope (ECC, GMR, MDG, Bridge HR, SRM, BW, Other SAP Invensys, ORACLE) for GSC domains.
  • Optimize the use of tools and workflows along process changes (procedure, training, monitoring, etc.).
  • Coordinate with people from various domains who are in the loop of master-data.
  • Propose improvements to the domain data owner.
  • Monitor master data quality and launch corrective plans.
  • Run periodically core queries/campaigns to generate data quality reports, run consistency checks, conduct analysis of reports, plan, and take corrective actions to avoid inconsistencies in data.
  • Propose new queries/campaigns in consultation with the domain data owner.
  • Establish and communicate the MD dashboard with main KPIs to track the MD activity, lead time commitment, and quality of data.
  • Inform MasterData Leaders and Data Owners – Major requested capabilities.

**Requirements**

  • SAP and/or Bridge project data migration experience.
  • SAP ECC, S/4HANA experience.
  • Plant Master Data Analyst experience.
  • Business experience in Supply Chain, Manufacturing, Logistics, etc.
  • MS Excel focus on data management.
  • MS Access focus on data management.
  • Robot process automation (RPA) for SAP systems.
  • Python data processing and cleansing.
  • SQL (Structured Query Language).
  • Machine Learning & AI software – Machine Learning Automation.
  • Tableau or Power BI data processing and visualizations.
  • Programming: C++, R, Swift, Matlab.
  • Libraries/Frameworks: Pandas, Numpy, Matplotlib, scikit-learn.

**Qualifications**

  • Be responsible for operational implementation of Master data Model (defined by the Data owner).
  • Incorporate changes in master data as per legal requirements or changes in organizational functioning, e.g. changes in VAT, Incoterms, Payment terms, STARS codes, GDPR Rules, etc.
  • Incorporate changing function requirements to create updated references in master data.
  • Attend to various business requirements.
  • Provide information by generating answers to requests sent by business.
  • Communicate to business main data processes changes.
  • Lead functionally a Team of operational key users.


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