SVP, Development and Enterprise Architecture

Architecture & Platform Strategy

• Define and evolve the enterprise architecture vision across application, data, and AI layers, aligned to business strategy.
• Lead the transition to a platform engineering model enabling self-service, reusable capabilities, and developer acceleration.
• Architect systems that are cloud-native, API-first, event-driven, and designed for continuous change and scale.
• Establish patterns for AI integration, including model orchestration, feature reuse, and real-time decisioning.

AI-First Engineering Transformation

• Define and execute an AI-first engineering strategy that embeds AI agents, and automation across the SDLC (design, coding, testing, deployment, and operations).
• Drive adoption of generative AI and machine learning to improve developer productivity, code quality, and delivery velocity.
• Establish governance, security, and risk management practices for responsible AI usage across engineering.

Product Engineering & Delivery Excellence

• Lead global engineering teams to deliver high-quality products and enhancements with speed, predictability, and quality.
• Modernize development practices through AI-assisted engineering, CI/CD, trunk-based development, and infrastructure as code.
• Own and improve key engineering metrics (e.g., DORA metrics, developer experience, cycle time, defect rates).
• Partner with Product to align delivery with business priorities, driving measurable customer and business outcomes.

Data & AI Integration

• Partner with Product leadership to embed AI/ML capabilities directly into core products and workflows.
• Enable scalable data platforms and pipelines that support real-time insights and intelligent experiences.
• Promote reuse of data, models, and AI services across the organization to maximize leverage and consistency.

Engineering Excellence, Quality & Security

• Champion a “built-in quality” mindset with automation, AI-driven testing, and shift-left practices.
• Partner with QA leadership to evolve testing into an AI-enabled, continuous quality engineering discipline.
• Partner with Information Security to lead secure-by-design practices and application security.