Your role and responsibilities
Required education
Bachelor's Degree
Preferred education
Bachelor's Degree
Required technical and professional expertise
- Proven Expertise in Data Technologies: Strong background in data platforms, data management, and analytics, with hands-on experience in designing, implementing, or supporting data-driven solutions.
- Experience in AI and Data-Driven Solutions: Practical knowledge of AI technologies, including machine learning and generative AI, with an understanding of how AI enhances data utilization and decision-making.
- Cloud and Hybrid Data Architecture Understanding: Proficiency in cloud-based and hybrid data architectures, with experience in platforms such as AWS, Azure, Google Cloud, or IBM Cloud.
- Agile and Problem-Solving Mindset: Ability to apply agile methodologies to data-related projects and a strong aptitude for problem-solving, navigating complex technical challenges efficiently.
- Effective Communication and Client Engagement: Proven ability to articulate complex data concepts to both technical and non-technical stakeholders, fostering strong relationships from engineers to executives.
Preferred technical and professional experience
- Broad Experience in Data and AI Solutions: Familiarity with various data and AI technologies, including data engineering, machine learning, and AI-powered analytics.
- Understanding of Enterprise Data Ecosystems: Experience working with enterprise data architectures, including data lakes, data warehouses, and data integration frameworks.
- Knowledge of Data Security and Compliance: Awareness of data security best practices, governance, and regulatory compliance frameworks relevant to enterprise data management.
