• Bachelor’s degree in Computer Science, Engineering, or equivalent combination of education and experience
• 15+ years of experience leading engineering or technical teams, with a focus on data-driven roles
• Experience working cross-functionally with product, engineering, marketing, and business leaders to deliver impactful, data-driven solutions
• A strong commitment to the secure and ethical use of AI and data within engineering practices
• Experience leading teams focused on data, AI/ML, and data architecture at scale within a large organization
• Deep expertise in designing and scaling data platforms in a B2B SaaS environment
• Experience with modern data practices, including AI, machine learning, data science, and data ecosystems
• Up to 25% travel
• Reliable internet access for any period of time working remotely and not in a Workiva office

Desirable

• At Workiva, we're looking for a Vice President of Engineering to lead our Data and Artificial Intelligence (AI) initiatives
• In this role, you will drive the design, architecture, and scaling of our data infrastructure and AI solutions, contributing to the future of our platform
• You'll collaborate across the organization to deliver innovative, high-impact solutions that align with both technical and business goals, ensuring ethical use of AI and data across our systems
• As a leader in our data strategy, you'll guide teams in building scalable, reliable systems that support Workiva's long-term growth
• Develop and execute the vision and strategy for data, AI, and machine learning within the Workiva platform, ensuring alignment with the company’s broader goals
• Build and lead teams of Data Engineers, Data Infrastructure Engineers, Data Architects, AI/ML Engineers, and Data Scientists
• Oversee the design, architecture, development, and scaling of new data systems and platforms
• Ensure seamless integration of new solutions into our existing platform and products
• Collaborate with Product leadership to drive innovation, ensuring that data-driven insights are fully integrated into our platform and customer experiences
• Lead Workiva’s AI/ML initiatives and guide the growth of our data strategy, ensuring alignment with our overall data platform vision
• Champion the secure and ethical use of data and AI within all engineering initiatives, promoting accountability and high standards
• Understand customer, business, and market needs to deliver capabilities that drive business growth
• Define and monitor the health of the data ecosystem, setting up systems for complete monitoring, critical alerts, and data quality improvements
• Incorporate essential nonfunctional requirements, such as data quality, governance, lifecycle management, and compliance
• Foster a culture of continuous improvement, innovation, and accountability, inspiring teams to achieve excellence
• Attract, develop, and retain top talent, promoting diversity, equity, and inclusion across the team