Vice President, Data & AI Engineering

Vice President (VP), Data & Artificial Intelligence Engineering

The Vice President, Data & Artificial Intelligence Engineering provides executive leadership for Duck Creek Technologies' enterprise data, artificial intelligence (AI), and generative AI (GenAI) capabilities. This role is responsible for defining and executing the strategy for AI engineering, machine learning, and enterprise data platforms to support innovation across Duck Creek's SaaS products and internal operations. Reporting at the Vice President level, this role leads global teams responsible for AI engineering, data platforms, and analytics capabilities. The Vice President partners with Product, Engineering, Cloud, Security, and Enterprise Architecture leaders to integrate AI and data-driven capabilities across the company's technology ecosystem. The role ensures responsible AI practices, strong data governance, and scalable platform capabilities while advancing Duck Creek's enterprise AI transformation.

The responsibilities include:

• 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.

The qualifications include:

• 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.

Preferred:

• 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.

Knowledge, Skills, Abilities & Behaviors:

• Executive leadership in enterprise data, AI, and advanced analytics strategy
• Expertise in modern data architectures, including data lakes, data warehouses, and data mesh patterns
• Deep knowledge of machine learning, generative AI, and model lifecycle management
• Understanding of MLOps practices and scalable AI platform engineering
• Knowledge of cloud-native data and AI technologies and distributed computing environments
• Strategic thinking and the ability to translate emerging technologies into business value
• Strong enterprise architecture alignment and systems thinking
• Ability to build and lead high-performing global engineering organizations
• Experience establishing governance frameworks for responsible and ethical AI use
• Strong cross-functional collaboration with product, engineering, and cloud organizations
• Ability to drive large-scale technology transformation initiatives
• Strong operational leadership and execution discipline
• Executive-level communication and influence across technical and business stakeholders
• Commitment to innovation, continuous learning, and technology advancement
• Ability to balance strategic vision with practical delivery and operational excellence

Travel: Up to 25%

Work Authorization: Legally authorized to work in the country of job location. The Company does not sponsor visa petitions for this position.

Actual compensation for this role is determined based on a variety of factors, including job-related skills, experience, qualifications, internal equity, and geographic location, where permitted by law.

For reference, the expected salary range for this position is generally positioned as follows based on candidate location:

• 241,200 – 344,500: Candidates living in the Boston, New York City–Newark, Los Angeles, San Francisco/Bay Area, Seattle, or Washington, DC metropolitan areas
• 229,800 – 328,300: Candidates living in Chicago, Dallas–Fort Worth, Houston, Minneapolis, or Philadelphia metropolitan areas, or in Colorado, Connecticut, Maryland, Rhode Island, or Vermont
• 218,400 – 312,000: Candidates living in Georgia, Michigan, North Carolina, New Hampshire, Oregon, or Wisconsin
• 193,400 – 302,300: For all other U.S. locations

This position is also eligible for annual bonus compensation, subject to plan terms and individual eligibility.

Final compensation will be determined based on the factors outlined above and in accordance with applicable law.

Duck Creek Technologies believes in the safe, ethical, and responsible use of artificial intelligence. We may use AI-assisted tools to support parts of the recruitment process, such as reviewing applications, identifying relevant skills, and organizing candidate information.

AI tools are used to assist—not replace—human judgment. All AI-assisted outputs are reviewed by a Duck Creek team member, and final hiring decisions are always made by people. Candidates should be comfortable working in environments where AI is used responsibly to enhance business processes.

Duck Creek Technologies offers a comprehensive benefits package, which includes:

• Flexible work environment
• Medical, dental, vision, life, and disability insurance
• 401(k) retirement plan with match (6% employer match up to $12,000 annually)
• Flexible Spending Accounts (FSA) and Health Savings Accounts (HSA)
• Paid holidays, vacation, and volunteer time
• Employee Assistance Program (EAP)

Benefits eligibility and offerings may vary based on role and location.

The application window for this position will remain open until the role is filled or a sufficient number of qualified candidates have been identified.

Our global company celebrates & leverages the differences each employee brings to the table. Our success is a direct result of an inclusive culture where opportunities to learn from one another occur regardless of title, seniority, or background. This collaborative and team-oriented approach is at the core of how we operate and continuously improve our products, services, and systems. As such, Duck Creek is committed to providing equal opportunity to all employees and applicants – to recruit, hire, train, and reward employees for their individual abilities, achievements, and experience without regard to race, color, gender, religion, sexual orientation, age, national origin, disability, marital, military, or any other protected status.

We strive to be an example to the world of inclusion, diversity, and equity in all things – where employees are free to be their authentic selves in the workplace and in the communities in which we live. We believe in leading by example and are proud of the diversity of our team and our shared commitment to our Core Values: We Prioritize Respect; We Listen; We Care; We Add Value; and We Lead.

To learn more about our inclusive company culture, values, DE&I initiatives, and people, please visit:

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