
1001 - 5000 employees
đ¤ Artificial Intelligence
Artificial Intelligence ⢠Consulting ⢠Analytics
SDG Group is a global consulting firm that specializes in Data & Analytics, offering innovative solutions in data, analytics, and artificial intelligence. Established in 1994, the company has built a reputation as a market leader in the AI, Data, and Analytics space. SDG Group is known for combining business process expertise with cutting-edge technology, collaborating with major software providers to implement advanced analytics and AI technologies. With over 2,000 consultants and a presence in numerous global locations, the company is dedicated to empowering its clients by delivering data-driven insights and fostering innovation. SDG Group is committed to personal and professional growth, offering a flexible work model that promotes work-life balance and career development.
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1001 - 5000 employees
đ¤ Artificial Intelligence
Artificial Intelligence ⢠Consulting ⢠Analytics
SDG Group is a global consulting firm that specializes in Data & Analytics, offering innovative solutions in data, analytics, and artificial intelligence. Established in 1994, the company has built a reputation as a market leader in the AI, Data, and Analytics space. SDG Group is known for combining business process expertise with cutting-edge technology, collaborating with major software providers to implement advanced analytics and AI technologies. With over 2,000 consultants and a presence in numerous global locations, the company is dedicated to empowering its clients by delivering data-driven insights and fostering innovation. SDG Group is committed to personal and professional growth, offering a flexible work model that promotes work-life balance and career development.
⢠Lead the implementation and continuous improvement of data governance practices, ensuring data is managed, understood, and used in a consistent and responsible way across the organisation. ⢠Support Data Domain Owners and Data Stewards in defining, adopting, and operationalising data governance processes, including ownership, stewardship, data quality, and metadata management. ⢠Drive the definition and adoption of shared business terminology, data definitions, and conceptual structures, enabling a common language for critical business concepts. ⢠Define and operationalize governance workflows, escalation paths, and decision forums. ⢠Collaborate closely with business and technology teams to embed governance into real use cases, data products, and initiatives rather than treating it as a parallel activity. ⢠Actively contribute & lead the implementation and improvement of data governance tooling (e.g. data catalogues, metadata management, data quality tools), helping teams use them effectively. ⢠Lead improvements in data quality management, including expectations, controls, and monitoring for critical data. ⢠Oversee business glossary, semantic definitions, and governance alignment across domains. ⢠Ensure metadata, lineage, and governance artefacts are consistently maintained in data management tools. ⢠Identify gaps and opportunities to improve data management capabilities and drive incremental maturity improvements across domains. ⢠Act as a senior bridge between business, analytics, engineering, and architecture communities. ⢠Mentor junior governance practitioners and contribute to governance capability building.
⢠Several years of experience in Data Governance or Data Management roles in large, federated organizations. ⢠Proven ability to work across business and technology, translating business needs into clear data definitions, standards, and governance artefacts. ⢠Hands-on experience with, or strong understanding of, data governance and metadata tooling such as data catalogues, MDM, or data quality tools. ⢠Proven ability to implement governance frameworks pragmatically at scale. ⢠Deep understanding of data ownership, stewardship, data quality, metadata, and lineage. ⢠Strong stakeholder management, communication, and facilitation skills, with the ability to build trust and alignment. ⢠Experience defining and documenting guidelines, standards, and ways of working in a clear and pragmatic manner. ⢠Strong communication, facilitation, and pedagogic skills. ⢠Experience supporting analytics, data engineering, or platform teams.
⢠Health insurance ⢠Flexible work arrangements ⢠Professional development opportunities
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