VP, Data & AI Engineering

Duck Creek Technologies is the intelligent solutions provider defining the future of the property and casualty (P&C) and general insurance industry. The Vice President, Data & AI Engineering provides executive leadership for enterprise data and AI capabilities, defining and executing strategies to support innovation across Duck Creek’s SaaS products.

Responsibilities:

• Define and execute the enterprise strategy for AI, generative AI, machine learning, and data platforms in alignment with corporate technology and product strategies
• Lead the development and operation of scalable enterprise data platforms that enable analytics, AI, and intelligent product capabilities
• Oversee AI and GenAI engineering initiatives, including model development, deployment, and lifecycle management
• Establish and scale enterprise capabilities for machine learning operations (MLOps), model governance, and AI platform reliability
• Direct the design and implementation of modern data architecture supporting data integration, data products, and analytics delivery
• Lead global teams across data engineering, AI engineering, analytics, and AI platform engineering
• Align AI and data initiatives with product development, cloud strategy, and enterprise architecture to ensure integrated technology delivery
• Drive the integration of AI-powered capabilities across Duck Creek’s SaaS solutions to enhance customer experience and operational efficiency
• Establish enterprise standards for responsible AI, data governance, privacy, and security
• Define operating models, KPIs, and performance metrics to ensure disciplined execution and measurable outcomes for AI and data initiatives
• Ensure scalability, reliability, and cost efficiency of data and AI platforms supporting global SaaS operations
• Serve as an executive advisor and thought leader on AI and data strategy to senior leadership and cross-functional stakeholders

Requirements:

• Bachelor's or Masters Degree and/or equivalent experience relevant to functional area
• 10+ years of progressive leadership experience in software engineering, data engineering, artificial intelligence, or platform engineering
• 7+ years of experience leading large technical organizations responsible for enterprise data platforms, analytics, or AI systems
• Demonstrated experience delivering enterprise-scale data platforms and production AI or machine learning solutions within SaaS or cloud-based environments
• Experience leading globally distributed engineering organizations and managing senior technical leaders
• Proven experience aligning advanced technology initiatives with enterprise architecture and product strategies
• Master's degree or PhD in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related discipline
• Experience leading generative AI initiatives and deploying AI-enabled capabilities within enterprise software products
• Experience in insurance technology, financial services, or highly regulated enterprise software industries
• Experience building AI and data capabilities in a cloud-native SaaS environment