VP, Data & AI Architect

About the role

The VP, Data & AI Architect will lead the design, governance, and evolution of the enterprise data and artificial intelligence architecture. This senior position ensures that data platforms, pipelines, and AI solutions are robust, scalable, and fully aligned with business and regulatory requirements across the organization.

Key responsibilities

• Define and maintain the enterprise data and AI architecture in line with business strategy and technology standards.
• Architect end‑to‑end data and AI solutions, covering data pipelines, model deployment, and integration with core platforms.
• Evaluate, introduce, and champion new technologies, frameworks, and best practices to advance data and AI capabilities.
• Collaborate closely with Data Engineers, AI Engineers, business units, and external partners to deliver high‑impact solutions.
• Drive optimization of data storage, processing, and AI model performance across cloud and on‑premises environments.

Required profile

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, AI/ML, or a related field.
• 10+ years of experience in data architecture, AI/ML solution design, and technology leadership, preferably in financial services or technology sectors.
• Proven track record of architecting and deploying enterprise‑scale data and AI solutions.

Required skills

• Azure data platform
• Databricks
• AI/ML frameworks (e.g., TensorFlow, PyTorch)
• Cloud architecture design
• Data governance and security
• Data pipeline engineering
• Model deployment and monitoring