Industrial Data Governance Expert

2 semanas atrás


Lisboa, Lisboa, Portugal Solvay Tempo inteiro
About the Role

Solvay is a leading chemical company dedicated to delivering essential solutions globally. As an Industrial Data Domain Lead, you will play a key role in driving a successful implementation of data management initiatives across the industrial data domain.

As part of our Industrial Digital Transformation team, you will work closely with stakeholders at industrial plants worldwide and corporate level to drive data governance and quality.

Your primary responsibilities will include:

  1. Developing and implementing effective governance processes and controls within the Industrial Team in coordination with the Data Management team at Enterprise level.
  2. Defining the data architecture & tools to be used for different use cases (e.g. Dashboarding, Data Quality, Data Governance) and establishing rules to ensure the use of standards across the Industrial Team, ensuring alignment with architecture principles and Enterprise Architecture.
  3. Managing and orchestrating the lifecycle of templates for visualization tools (PI Vision, SEEQ, PowerBI) to enable transversal digital transformation activities across all GBUs/sites.
  4. Supporting PI AF data definition as structure, hierarchies, and lifecycle management and coordinating with impacted data roles. Orchestrating validation of changes to the PI AF template.
  5. Continuously enriching the business glossary and ensuring alignment and conflict management of business terms that are transversal to various domains/subdomains.
  6. Driving the implementation of Data Quality capabilities for Industrial focusing on operational time series and engineering data (processes, governance, tools) aligned to Solvay's governance and principles. Responsible for ongoing monitoring through Data Quality KPIs and ensuring action plans are in place to address data quality issues.
  7. Identifying and proposing candidates to the data roles needed to ensure proper governance and data quality of Industrial Data across GBUs/sites.
  8. Monitoring the effectiveness of data governance implementation and Data Quality processes and communicating progress to the Data Management team at Enterprise level.
  9. Ensuring alignment with other data initiatives and projects across the organization.

We offer a permanent contract based on a hybrid working model in Portugal, Spain, or Italy with the availability to travel around 20% of the time.


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