Industrial Data Domain Lead
Há 1 mês
We are seeking a highly skilled Industrial Data Domain Lead to join our team at Solvay. As an expert in digital transformation, you will play a key role in driving the implementation of data management initiatives across the industrial domain.
Key Responsibilities:
- Lead and continuously implement effective governance processes and controls within the industrial team in coordination with the data management team at enterprise level.
- Define data architecture & tools to be used for different use cases (e.g. dashboarding, data quality, data governance) and establish rules to ensure the use of standards across the industrial team, ensuring alignment with architecture principles and enterprise architecture.
- Manage and orchestrate the lifecycle of templates for visualization tools (PI Vision, SEEQ, PowerBI) to enable transversal digital transformation activities across all GBUs/sites.
- Support PI AF data definition as structure, hierarchies, and lifecycle management and coordinate with impacted data roles. Orchestrate validation of changes to the PI AF template.
- Continuously enrich business glossary and ensure alignment and conflict management of business terms that are transversal to various domains/subdomains.
- Drive 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.
- Identify and propose candidates to data roles needed to ensure proper governance and data quality of industrial data across GBUs/sites.
- Monitor effectiveness of data governance implementation and data quality processes and communicate progress to the data management team at enterprise level.
- E nsure alignment with other data initiatives and projects across the organization.
To succeed in this role, you will need:
- Relevant education degree or equivalent in a relevant field (e.g., engineering, data science, statistics, mathematics).
- Minimum 8 years of experience in data management / data governance / data quality. Industrial background is a plus.
- Experience in PIMS, MES, operational time series, and engineering data is a plus.
- Strong analytical and problem-solving skills.
- Knowledge of data and data quality platforms.
Solvay, a pioneering chemical company, is dedicated to delivering essential solutions globally through its workforce of over 9,000 employees. Our commitment drives the transition to a carbon-neutral future by 2050, underscoring our dedication to sustainability and a fair and just transition.
Our culture values diversity, unity, and not uniformity. We invite you to consider a future with us, regardless of background, age, gender, national origin, ethnicity, religion, sexual orientation, ability, or identity.
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