Data Governance Lead

Job Description

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, at a Domain Design Authority level.

The 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

• Drive the overall data quality function for a large Capgemini-delivered Industry 4.0 Transformation Program to include data profiling, data cleansing, data contextualization, and data enrichment for data required to support the Programs goals and Use Cases.
• Work closely with Capgemini-delivered Data Strategy Program:
• to ensure a unified and consistent approach is being shaped across the different Programs
• to review existing data controls, align on recommended additional controls as per Data Strategy, and derive them for the Industry 4.0 Transformation Program
• Leverage data management knowledge to maintain and define data quality and metadata processes, participates in development of data quality rules, thresholds, and standard metrics/quality-expectations for data elements that support critical business processes.
• Coordinate with global and regional data stewards, business SMEs and data owners to define, develop, and maintain data quality rules and metadata.
• Participate in solutioning teams to partner with client, provide data management experience, including understanding of concepts, practices, procedures, and tools providing strong analytical.
• Define replicable assets, policies, processes, standards and patterns to ensure reusability and speed to delivery increase in the context of the Industry 4.0 Transformation Program.
• Enforce the implementation and usage of replicable patterns through coordinating with Use Cases teams as well as through the Domain Design Authority mandate.
• Collating and reviewing data requirements (specific details - complete, timeliness and accuracy specifications) from data consumers.
• Ability to understand meta data lineage, definitions and trusted data sources.
• Ability to search and consolidate critical data elements information in meta data tools.
• Ensure compliance with relevant data protection regulations.
• Identify and mitigate data-related risks
• Collaborate with business and IT stakeholders to ensure alignment of data governance initiatives with business objectives.

• Experience in data analysis, data categorization, business requirement gathering, dashboarding and reporting.
• Industry experience in the sectors of metal manufacturing or mining.
• Advanced experience in IT/OT environment and IT/OT convergence data topics, including associated protocols to exchange and share data.
• Technical understanding of the following environment: Azure, OLTP/OLAP and SQL/NoSQL DBs, Databricks, Power BI, Collibra/Informatica, SAP ECC, HANA as a plus
• Experience with data contextualization, data masking, and anonymization techniques.
• Experience in defining governance in ontology-oriented environments is a plus.
• Understanding of Agile, SAFe principles.

Skills (competencies)