Data Governance Lead

N-iX is a global software development company founded in 2002 connecting over 2400 tech professionals across 40 countries. We deliver innovative technology solutions in cloud computing data analytics AI embedded softwareIoT and more to global industry leaders and Fortune 500 companies. Join us to create technology that drives real change for businesses and people across the world.

The Data Governance Lead will be responsible for creating and executing a cross-functional enterprise data program that supports overlapping data needs across tax finance and operations. This role requires strong leadership deep hands-on technical skills (ETL data modeling SQL MDM) and the ability to leverage platforms like Databricks for enterprise data solutions. A critical aspect is acting as a liaison with key business leaders to ensure data initiatives directly drive business value and compliance. Working hours: US business hours till 4 PM ET.

Responsibilities:

• Define and execute a forward-thinking data governance strategy and roadmap. Build a scalable adaptive framework that ensures compliance while facilitating the adoption of AI and GenAI technologies.
• Lead the end-to-end development of enterprise ontologies and knowledge graphs including schema design reasoning rules and alignment. Create scalable semantic models usingRDF/OWL/SPARQL.
• Integrate structured and unstructured sources into the semantic layer through schema mapping and harmonization. Conduct ontology validations entity reconciliation and SPARQL-based quality checks.
• Oversee data cataloging provenance master data management (MDM) and metadata management. Establish standards for versioning control and change management.
• Facilitate cross-departmental initiatives to establish a common data language. Provide insights on data investments and promote best practices across technical and functional teams.

Requirements:

• Bachelors or Masters degree in Computer Science Engineering Mathematics or equivalent.
• 10 years in data management/governance with a proven record in leadership roles.
• 5 years of hands-on experience in ontology engineering and knowledge graph development. Advanced proficiency in RDF OWL and SPARQL
• Practical experience with Stardog Metaphacts or GraphDB
• Proficiency in platforms such as Collibra Informatica Topbraid EDG Erwin or LeanIX.
• Proficiency inSQL and familiarity with Python for automation.
• Strong understanding of integrating relational NoSQL and semi-structured data. Experience with cloud environments (Azure preferred).
• Demonstrated success in transforming data practices within large complex organizations and leading cross-functional teams.
  
  

Will be a plus:

• Experience with reasoning engines inference rules and schema harmonization.
• Familiarity with Google Knowledge Graph tools (Schema Tool Critique Cider).
• Domain modeling experience in cloud infrastructure software or asset management.
• Certifications in Azure or semantic technologies (Stardog Metaphacts).