Develop and own the enterprise data and AI architecture roadmap aligned with business goals
Lead the design and implementation of scalable data platforms, analytics solutions, and AI/ML infrastructure
Define standards and best practices for data governance, metadata management, and model lifecycle management
Partner with engineering, product, and business teams to ensure seamless integration of data and AI capabilities
Evaluate emerging technologies and trends in data, analytics, and AI to inform strategic decisions
Oversee architectural reviews, technical assessments, and solution design for complex data initiatives
Ensure compliance with data privacy, security, and regulatory requirements
Build and mentor a high-performing team of data and AI architects

Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related field
10+ years of experience in data architecture, analytics, and AI/ML systems
Proven leadership in designing enterprise-scale data platforms and AI solutions
Experience leading architecture teams
Deep expertise in cloud platforms (e.g., Azure, AWS, GCP), data lakes, data warehouses, and real-time data processing
Strong understanding of AI/ML frameworks (e.g., TensorFlow, PyTorch), MLOps, and model deployment strategies
Experience with Databricks ecosystem
Experience with enterprise architecture frameworks (TOGAF, Zachman)
Familiarity with data mesh, data fabric, and modern data stack concepts
Certifications in cloud architecture or AI/ML technologies
Excellent communication and stakeholder management skills
Experience with data governance frameworks and regulatory compliance (GDPR, HIPAA, etc.)

AI Principal Architect – II

Key skills