Responsibilities:

• Design and implement scalable, reliable, and secure AI and data architectures to support enterprise needs.
• Lead the development of data models, data standards, and data processes within the organization.
• Collaborate with stakeholders to understand business requirements and translate them into data architecture solutions.
• Oversee the integration of complex data sources to create data ecosystems that support AI applications.
• Provide expert guidance and mentorship to data engineers, data scientists, and other relevant team members.
• Evaluate and select appropriate tools, technologies, and platforms to optimize AI and data functionalities.
• Ensure the robustness, accuracy, security, and efficiency of data processes and AI models.
• Work cross-functionally to support the organization in leveraging data-driven decision-making.
• Keep abreast of the latest developments in AI and data architecture and incorporate them into strategic planning.

Requirements:

• Proven experience designing and managing large-scale data architecture systems.
• Expertise in AI technologies and machine learning frameworks.
• Strong proficiency in programming languages such as Python, Java, or similar.
• Familiarity with cloud platforms like AWS, Google Cloud, or Azure.
• Extensive experience with data warehousing solutions, such as Snowflake or Redshift.
• Strong understanding of data governance, data security, and compliance best practices.
• Ability to work collaboratively in a fast-paced, dynamic environment.
• Excellent problem-solving skills and ability to innovate.

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.
• Over 10 years of relevant experience in data architecture and AI-related roles.
• Relevant certifications such as Certified Data Management Professional (CDMP) or AWS Certified Data Analytics are a plus.
• Excellent communication and leadership skills.
• Proven track record in leading complex AI and data architecture projects.