Artificial Intelligence

• Define and own the AI roadmap across all products in collaboration with Engineering, Product, and Business stakeholders.
• Identify, evaluate, and prioritize AI/ML use cases that drive measurable business value.
• Guide design and implementation of AI-powered features, ensuring scalability, security, and ethical considerations.
• Partner with Data Engineering and Product teams to ensure the right data pipelines and infrastructure are in place to support AI initiatives.
• Act as a thought leader in innovation — continuously scanning the horizon for new tools, frameworks, and emerging technologies (AI, automation, GenAI, NLP, analytics, cloud-native, etc.).
• Run innovation workshops and hackathons with engineering and product teams to surface and validate new ideas.
• Drive proof-of-concepts (POCs) and pilots, converting promising ideas into production-ready features.
• Build partnerships with external vendors, research organizations, or startups to explore and integrate new solutions.
• Work closely with Product Management to align AI initiatives with customer needs and product strategy.
• Partner with Engineering teams to integrate AI models and tools into existing architectures.
• Collaborate with Security, Compliance, and Legal to ensure AI/ML implementations meet regulatory and ethical standards.
• Evangelize innovation and AI opportunities across the organization, acting as a bridge between technical and business stakeholders.

Director, AI and Innovation

Risk & Business Governance Program Lead – Data, Privacy, AI

Head Global Quality – Digital Health, Artificial Intelligence Compliance

Patent Engineer – AI/ML, Kernel & High-Performance Compute

Patent Engineer – AI/ML, Kernel & High-Performance Compute

AI Catalyst