Data Steward

hace 4 días


Monterrey, Nuevo León, México Schneider Electric A tiempo completo
About the Role

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

Key Responsibilities
  • Manage data creation and modifications, ensuring data accuracy and consistency.
  • Lead the development of automation opportunities to improve data management processes.
  • Support data activities to understand end-to-end processes and identify areas for improvement.
  • Advocate for the development of dashboards and performance metrics to measure data quality and process efficiency.
  • Follow and maintain processes for data life cycle management, ensuring compliance with broad guidelines set by the domain data owner.
  • Apply processes while following broad guidelines set up by the domain data owner relating to procedures, tools, roles, monitoring tools, and dashboards for life cycle management of information based on understanding of business requirements.
  • Set up all overall process changes with all related data and responsibilities, taking into account the overall solution (OG flows, organizational structures,...) 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,...).
  • Coordinate with all people from various domains who are in the loop of master data.
  • Propose improvements to 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 eventually new queries/campaigns in consultation with the domain data owner.
  • Establish and communicate the MD dashboard with main KPIs to track the MD activity, the lead time commitment, and the quality of data.
  • Inform master data leaders and data owners – major requested capabilities.
  • Assertive, able to drive/motivate delivery from team.
  • Autonomous.
  • Pays attention to detail.
  • Leadership.
  • Innovative.
Requirements
  • SAP and/or Bridge project data migration.
  • SAP ECC, S/4HANA experience.
  • Plant Master Data Analyst.
  • Business 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.
  • Conduct timely goal setting, monitoring, review of performance parameters, recommend personnel actions to HR and provide feedback to the team members.
  • Enable development of team members by identifying development gaps, providing coaching and counseling, proposing training & development inputs, nominating team members for the same and monitoring their progress.
  • Welcome newcomers and ensure rapid performance in the job by training them on the whole MD LFC system.
  • Communicate Company's direction, new developments, success stories along with plans for own function on an ongoing basis.
  • Contribute to the MD Life Cycle network.
  • Exchange best practices throughout his zone and with the other Businesses (i.e FiCo).
  • Propose improvement action plans on methods, tools, roles, organization...

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