VP, Data & AI Engineering

Duck Creek Technologies

1d•Remote

About The Position

Helping careers take flight. Reshaping an industry. Enable your career to be Made on Duck Creek. WHO WE ARE: Duck Creek Technologies is the intelligent solutions provider defining the future of the property and casualty (P&C) and general insurance industry. We are the platform upon which modern insurance systems are built, enabling the industry to capitalize on the power of the cloud to run agile, intelligent, and evergreen operations. Our modern SaaS solutions help insurers set a new standard and revolutionize how consumers interact with insurance companies. Authenticity, purpose, and transparency are core to Duck Creek, and we believe insurance should be there for individuals and businesses when, where, and how they need it most. Our market-leading solutions are available on a standalone basis or as a full suite, and all are available via Duck Creek OnDemand. With more than 1,000 successful implementations to date, Duck Creek removes the IT burden for insurers so they can focus on the business of insurance. We have a flock of more than 1,700 employees across the globe and are proud to be a Flexible-First employer. We empower our employees with the choice to work from an office, from home, or on a hybrid schedule. Our flexible-first environment fosters productivity, inclusion, collaboration, and ensures a consistent employee experience regardless of location. If working in a fast-paced, rapidly evolving company that is transforming one of the world’s oldest and largest industries sounds exciting, let us know. We are excited you are considering Duck Creek as a future employer and hope you decide to join “The Flock”! To learn more about us, visit www.duckcreek.com and follow us on our social channels for the latest information – LinkedIn and Twitter.

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.

Nice To Haves

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.

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.