Develop and implement a comprehensive data strategy and architecture to significantly enhance data management, governance, and security. This role empowers organizations to establish a single source of truth for all their data, transforming raw information into actionable insights. The ultimate goal is to drive efficiency and cultivate a distinct competitive advantage.

As a Data Strategist, you will design and execute data strategies that improve how an organization manages and governs its information. You will focus on creating a unified data architecture that guarantees data integrity and security, ensuring easy access to reliable data sources. Collaboration with diverse teams is key to translating complex data into insights that support decision-making, boosting operational efficiency and market competitiveness. Continuous evaluation and refinement of data management practices are essential to align with business needs and technological advancements.

Independently perform tasks and develop expertise to become a subject matter expert (SME). Actively participate and contribute to team discussions. Provide effective solutions to work-related challenges. Collaborate with cross-functional teams to ensure data strategy aligns with overall organizational objectives. Monitor and assess data governance policies to uphold compliance and security standards. Support junior team members by sharing knowledge and offering guidance on best practices in data management. Continuously evaluate emerging data technologies and propose enhancements to existing data architectures.

A minimum of 3 years of professional experience is required, with a specific focus on Natural Language Processing (NLP). Candidates must possess a minimum of 3 years of experience in Natural Language Processing (NLP). Demonstrated proficiency in Natural Language Processing (NLP) is a mandatory requirement. Experience with text analytics and semantic understanding techniques is essential. Strong knowledge of data integration processes and data pipeline development is expected. Familiarity with data security principles and data governance frameworks is necessary. Proven ability to work with large datasets and optimize data workflows for performance and scalability is crucial. This position requires 15 years of full-time education.