As a Data Governance Lead, you will be responsible for overseeing and ensuring the quality, consistency, security, integrity, and compliance of data in the context of a large Industry 4.0 Transformation Program for a strategic Group Client, operating at a Domain Design Authority level. This position requires close collaboration with various stakeholders, including IT and OT Leaders, Architects, Business, and Senior Management, to promote and enforce a culture of data excellence.
Your Role:
- Drive the overall data quality function for a large Capgemini-delivered Industry 4.0 Transformation Program, including data profiling, cleansing, contextualization, and enrichment.
- Collaborate with the Data Strategy Program to ensure a unified approach across different programs, reviewing existing data controls and aligning on recommended additional controls.
- Define and maintain data quality and metadata processes, participate in the development of rules, thresholds, and quality expectations for critical business processes.
- Work with global and regional data stewards, business SMEs, and data owners to define and maintain data quality rules and metadata.
- Participate in solutioning teams to provide data management experience, including strong analytical capabilities.
- Define replicable assets, policies, processes, and standards to ensure reusability and speed in delivery within the context of the transformation program.
- Enforce implementation and usage of replicable patterns through coordination with Use Cases teams and the Domain Design Authority mandate.
- Collate and review data requirements, ensuring completeness, timeliness, and accuracy.
- Ensure compliance with relevant data protection regulations and mitigate data-related risks.
- Collaborate with business and IT stakeholders to align data governance initiatives with business objectives.
Required Skills:
- Experience in data analysis, categorization, business requirement gathering, dashboarding, and reporting.
- Industry experience in metal manufacturing or mining sectors.
- Advanced knowledge in IT/OT environments and IT/OT convergence data topics, including protocols for data exchange.
- Technical understanding of: Azure, OLTP/OLAP, SQL/NoSQL databases, Databricks, Power BI, and Collibra/Informatica (SAP ECC, HANA is a plus).
- Experience with data contextualization, masking, and anonymization techniques.
- Familiarity with governance in ontology-oriented environments is a plus.
- Understanding of Agile and SAFe principles.
Location: Dubai, Dubai, United Arab Emirates
Work Conditions: Full-time
