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Build relationships with local governments in Oregon and Hawaii, represent SOVRA at procurement events, host webinars, train agencies on eProcurement programs, promote adoption, track technology usage, identify expansion barriers, and share program insights. The role requires frequent event travel, booth setup and equipment handling, public-sector knowledge, customer education experience, and autonomous remote work.

Build and lead SOVRA’s continuous UX research practice for public procurement products. Plan research agendas, establish research operations and insight repositories, conduct mixed-method generative and evaluative studies, and influence product and design decisions. Engage buyers and suppliers through ongoing customer contact and travel. Champion accessibility, study user trust in AI features, mentor product teams, and ensure research findings remain traceable to participant evidence.

Own the strategy, roadmap, delivery, and go-to-market for SOVRA’s data and integrations platform. Lead embedded BI, data lake architecture, APIs, integration frameworks, governance, synchronization, and the data foundation for AI capabilities. Partner with engineering, security, compliance, customers, ERP partners, and go-to-market teams. Define success metrics, improve data reliability, and guide enterprise product investments. The role includes approximately 10–15% travel within North America.

Own the strategy, roadmap, delivery, and commercial performance of a buyer-side AI product area for public procurement. Conduct customer discovery, define requirements and AI evaluation practices, lead prototypes and usability testing, ensure accessibility, privacy, security, and public-sector compliance, and partner with Engineering, Design, Sales, Marketing, and Customer Success on launches, adoption, and retention.

Own the strategy, roadmap, delivery, and go-to-market for SOVRA’s data analytics, embedded BI, APIs, integrations, and data lake platform. Lead data governance, architecture, synchronization, reliability, security, and AI data foundations while partnering with engineering, security, compliance, customers, ERP partners, and go-to-market teams. Launch embedded analytics, measure adoption, support enterprise integrations, and establish a governed data foundation for product and AI capabilities.