Develop and implement a comprehensive data strategy and architecture to significantly improve information management, governance, and security. This role empowers organizations with a unified source of truth for all data, enabling the transformation of raw information into actionable insights. The ultimate goal is to drive operational efficiency and cultivate a distinct competitive advantage in the market. Continuous assessment and refinement of data processes are key to aligning with evolving organizational objectives and industry best practices.

This position focuses on creating a unified data architecture that serves as a reliable source of truth, facilitating seamless data access and utilization across departments. The Data Strategist will collaborate with various teams to ensure data-driven insights translate into tangible business outcomes, enhancing operational efficiency and market competitiveness. Ongoing evaluation and enhancement of data procedures are integral to maintaining alignment with dynamic organizational goals and industry standards.

Serve as an independent subject matter expert (SME), actively contributing to team discussions and problem-solving. Collaborate with cross-functional teams to ensure data strategies are harmonized with overarching business objectives. Monitor and evaluate data governance practices to uphold compliance and data integrity. Provide guidance and knowledge sharing to junior team members, promoting best practices in data management.

A minimum of 3 years of dedicated experience in Graph Databases is essential. Proficiency in Graph Databases and GraphQL (Query Language) is a mandatory requirement. Demonstrated experience in designing and managing scalable graph database architectures, coupled with a strong grasp of data modeling and schema design specific to graph structures, is expected. The ability to optimize query performance and manage intricate relationships within graph databases is crucial. Familiarity with data integration techniques and tools for consolidating diverse data sources is beneficial. Knowledge of security protocols and best practices for protecting sensitive data within graph database environments is also important.