Vice President, Data & AI Engineering

Vice President, Data & Artificial Intelligence Engineering What You’ll Do Provide executive leadership for Duck Creek Technologies’ enterprise data, artificial intelligence (AI), and generative AI (GenAI) capabilities. Define and execute the enterprise strategy for AI, generative AI, machine learning, and data platforms aligned 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, and define operating models, KPIs, and performance metrics. 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. What You’ve Done Bachelor’s or Master’s 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. Preferred: Experience leading generative AI initiatives and deploying AI‑enabled capabilities within enterprise software products. Preferred: Experience in insurance technology, financial services, or highly regulated enterprise software industries. Preferred: 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. Additional Information Travel: Up to 25% of time required. Work Authorization: Legally authorized to work in the country of job location. This position does not sponsor visa petitions. Compensation is based on location and includes a base salary ranging from $241,200 to $302,300, an annual bonus, and equity awards in accordance with company policy. $241,200 – $344,500 for Boston, New York City–Newark, Los Angeles, San Francisco/Bay Area, Seattle, or Washington, DC. $229,800 – $328,300 for Chicago, Dallas–Fort Worth, Houston, Minneapolis, or Philadelphia; or Colorado, Connecticut, Maryland, Rhode Island, or Vermont. $218,400 – $312,000 for Georgia, Michigan, North Carolina, New Hampshire, Oregon, or Wisconsin. $193,400 – $302,300 for all other U.S. locations. Benefits include a flexible work environment, medical, dental, vision, life, and disability insurance, a 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, and an Employee Assistance Program (EAP). Eligibility and offerings may vary by role and location. Duck Creek Technologies is committed to the safe, ethical, and responsible use of artificial intelligence. AI‑assisted tools may support recruitment activities but decisions are made by people. Equal Opportunity Statement Duck Creek Technologies is an equal‑opportunity employer that values diversity and inclusion. We do not discriminate on the basis of race, color, gender, religion, sexual orientation, age, national origin, disability, marital, military, or any other protected status. Privacy Notice: By submitting your application, you acknowledge that Duck Creek Technologies may collect and process your personal data for recruitment purposes in accordance with its privacy notice and applicable data protection laws. #J-18808-Ljbffr