
501 - 1000 employees
Founded 1995
💼 Consulting
🏥 Healthcare
📦 Logistics
Consulting • Healthcare • Logistics
Intetics is an innovative company providing custom software development services, specializing in AI and machine learning solutions. They offer Remote In-Sourcing® to build expert teams for software engineering and data processing projects, along with advanced tools like TETRA™ for software quality assessment. Intetics aims to empower businesses by leveraging high-quality data and integrating modern technologies across various industries, including healthcare, finance, and more.
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501 - 1000 employees
Founded 1995
💼 Consulting
🏥 Healthcare
📦 Logistics
Consulting • Healthcare • Logistics
Intetics is an innovative company providing custom software development services, specializing in AI and machine learning solutions. They offer Remote In-Sourcing® to build expert teams for software engineering and data processing projects, along with advanced tools like TETRA™ for software quality assessment. Intetics aims to empower businesses by leveraging high-quality data and integrating modern technologies across various industries, including healthcare, finance, and more.
• Develop and implement enterprise data governance frameworks and operating models. • Define and maintain data quality rules, controls, and governance processes. • Manage business glossaries, data dictionaries, metadata, and data lineage. • Support master data and reference data management initiatives. • Establish data classification, retention, and privacy policies. • Collaborate with business, IT, security, and data owners to improve governance practices. • Support governance of analytical models and AI solutions. • Promote data quality, compliance, and continuous governance improvements.
• Experience implementing enterprise Data Governance frameworks. • Strong understanding of data ownership, stewardship, and governance operating models. • Experience with data quality management and remediation processes. • Knowledge of metadata management, data catalogues, business glossaries, and data lineage. • Experience with master data and reference data management. • Understanding of data classification, privacy, and data retention principles. • Experience working with business and technical stakeholders. • Ability to develop governance policies and translate them into practical implementation. • Nice to Have: • Experience with Microsoft Purview or similar data governance platforms. • Knowledge of GDPR or other data protection frameworks. • DAMA/CDMP or similar professional certifications. • Experience working with HR, Payroll, Finance, or other sensitive enterprise data.
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